The shape of future technology is at the hand of
Artificial Intelligence. ‘Artificial intelligence’ and it’s baby
‘Machine Learning’ has become too powerful that other innovations
have fallen way behind in this century. Its presence is hidden
within us but performing numerous tasks to make our life easier.
Our mobile phones, laptops, cameras, airplanes, spaceships,
submarines, war equipment, etc all are adopting AI for a quick,
smooth and perfect result. Today we will discuss a list of
artificial intelligence books as well as machine learning books
that will show the evolution, importance, and application of Machine Learning[1] and Artificial
Intelligence.
As I said, Artificial Intelligence is the most powerful
innovation, thus there is no shortcut to learning it. All the
machines which are there so far and on the way to get existence
will be with the touch of AI. So, if anyone lacks knowledge of
artificial intelligence then it will be very tough for him to
handle all the innovative and necessary machines and devices. We
are here to suggest you some of the best artificial intelligence
pdf books along with some machine learning books to make your study
easier and fruitful on this subject.
Artificial Intelligence and
Machine Learning Books
This write-up will provide you with some best books on
Artificial Intelligence and Machine
Learning[2] available on the
internet. These books will help you to know the background,
development, structure, and deep analysis of both AI and ML. Books
on some important fields like education, agriculture, games,
transport, etc are mentioned where the importance, application and
all other aspects of AI are pointed out clearly. I hope, you can
get all kinds of knowledge and taste of Artificial Intelligence and
machine learning books from these.
1. Artificial
Intelligence
It is a basic but detailed Artificial intelligence pdf
book. The book discusses from the very general and initial
learnings about AI and then systematically goes into deep. It has
different chapters as the discussion is elaborated, and keeps a
summary and background to make it concise and fruitful to the
readers. The book gives different outstanding ways of learning
artificial intelligence. You can learn different rules and
languages from this book.
Table of Contents
- Part I: Representations and Methods
Chapter 1: Intelligent Computer Chapter 2:
Semantic Nets and Description Matching Chapter 3:
Generate and Test, Means-Ends Analysis, ad Problem Reduction
Chapter 4: Nets and Basic Search Chapter 5: Nets
and Optimal Search Chapter 6: Trees and Adversarial
Search Chapter 7: Rules and Rule Chaining
Chapter 8: Rules, Substrates, and Cognitive Modeling
Chapter 9: Frames and Inheritance Chapter 10:
Frames and Commonsense Chapter 11: Numeric Constraints
a Propagation Chapter 12: Symbolic Constraints and
Propagation Chapter 13: Logic and Resolution
Proof Chapter 14: Bracketing and Truth
Maintenance Chapter 15: Planning
- Part II: Learning and Regularity
Recognition
Chapter 16: Learning by Analyzing Differences
Chapter 17: Learning by Explaining Experience
Chapter 18: Learning by Correcting Mistakes
Chapter 19: Learning by Recording Cases Chapter
20: Learning by Managing Multiple Models Chapter 21:
Learning by Identification Trees Chapter 22: Learning
by Training Neural Nets Chapter 23: Learning by
Training Approximation Nets Chapter 25: Learning by
Simulating Evolution
- Part III: Vision and Languages
Chapter 26: Recognizing Objects Chapter 27:
Describing Images Chapter 28: Expressing Language
Constraints Chapter 29: Responding to Questions
and Commands
2. Handbook of Artificial
Intelligence
How about a book of AI that contains all of your answers
related to AI? Yes, this is one of the best artificial intelligence
and machine learning books that are rich in all information related
to Artificial Intelligence and Machine Learning. The book is too
vast and discusses every topic in an elaborated form.
AI, ML, DL all are very nicely discussed in the book. Some
more important topics like Automatic Programming and important
platforms of AI have come up in the book. The book has a special
emphasis on Medicine, Education, Chemistry in its
discussion.
Table of contents
- Search
- Representation of Knowledge
- Natural Language Understanding
- Speech Understanding System
- AI Programming Language
- Application-Oriented AI Research- Part I
- Application- Oriented AI Research – Part II-
Chemistry - Application- Oriented AI Research- Part III-
Medicine - Application- Oriented AI Research- Part IV-
Education - Automatic Programming
3. Artificial Intelligence-
Intelligent Systems
Those who want to select AI as their course subject, this
book is the perfect one as it provides basic introductory
information and knowledge about AI. The book is a tutorial and
prepared for the primary level learners. You need to have basic
knowledge of computer, math, science, ML, etc.
The book covers almost all the important topics related to
AI like algorithms, logistics, languages, etc. It is one of the
best artificial intelligence books that provide the knowledge of
Robotics, Neural Networks and many more. However, it can also be
considered one of the best machine learning books.
Table of Contents
- Overview of AI
- Intelligent Systems
- Research Areas of AI
- Agents and Environments
- Popular Search Algorithms
- Fuzzy Logic Systems
- Natural Language Processing
- Expert Systems
- Robotics
- Neural Networks
- AI Issues
- AI Terminology
4. Artificial Intelligence In
Society
The book is one of the most perfect artificial
intelligence books for people who want to grow interested in the
topic. The layout of the book is outstanding where almost all the
areas and platforms are well covered. How AI is used around the
world and how we are engaged in AI is well discussed in the book.
All the topics in the bookend up with references and notes to make
it an authentic one.
Table of Contents
- Technical Landscape
- Economic Landscape
- AI Applications
- Public Policy Considerations
- AI Policies and Initiatives
5. Artificial Intelligence in
Education
Education is always a very important platform for the
application field of any innovation. The proper application of AI
is the main discussion of this book. The book has firstly given the
reason why AI is important in education and how to utilize it. It
did not forget to highlight the background of artificial
intelligence and machine learning[7].
The book will be very easy for the new reader as there is
a discussion on the terminology. Advance level readers will also
get enough to read who knows AI but did not think of it with
education. you can consider it as one of the best artificial
intelligence and machine learning books.
Table of Contents
- The Context
- The What
- The How
- The Role Assessment
- AI in Education
- The Background of AI
- AI techniques and Terminology
- How AI Works in Education
- Applications of AI in Education
6. Brief Introduction to
Educational Implications of Artificial Intelligence
Treating Education as the backbone of a nation, the AI
society has introduced intelligence artificially in the Education
system. This artificial intelligence book is the right choice who
needs to get a better understanding of why AI or ML should be
introduced to Education. Though the term ‘brief’ is with the title
of the book, the book contains a considerable amount of information
and materials to understand the aim of the book.
Table of Contents
- Intelligence and Other AIDS to Problem
Solving - Goals of Education
- Computer Chess and Clesslandia
- Algorithmic and Heuristic Procedures
- Procedures Used in Game Playing
- Machine Learning
7. Practical Artificial
Intelligence Programming with Java
The book deals with two-dimensional grids, heuristic
search, Power-Loom system, Semantic web and many more. Like most of
the basic artificial intelligence books, this book provides a good
description of Neural Networks[10]. Your concept will
become clear about the Genetic Algorithm in AI after reading this
book. Different tables and figures make the book very easy to
understand and assimilate.
Table of Contents
- Search
- Reasoning
- Expert Systems
- Genetic Algorithms
- Neural Networks
- Machine Learning with Weka
- Statistical Natural Language Processing
- Information Gathering
Download
Pdf
8. Artificial Intelligence and
Games
The book is a great book that illuminates the history,
evolution, progress and further advancement of AI and Games. It
will give you an idea that why should you relate and go deep with
the study of this book. The relation of artificial intelligence and
the game is very clear in the book within its first
part.
Gradually the book will teach you different methods and
algorithms related to the topic. You can learn the ways of using AI
in games like an expert that also includes modeling of players.
Finally, you will get knowledge and Visualization of future AI and
games in the book.
Table of Contents
- Part I: Background
Brief History and Intro AI Methods
- Part II: Ways of Using AI in Games
Playing Games Generating Content
Modeling Players
- Part II: Road Ahead
Game AI Panorama Frontiers of Game AI
Research
9. Artificial Intelligence in
Transportation
How about a book that feeds you the concept of artificial
intelligence in mobilization? Yes, this is one of the best
artificial intelligence books that discuss transportation based on
AI. All the topics in the book are written by very renowned writers
which cover neural networks, different theory, AI and ML algorithms[12] and many more. The book
is a good introductory and resourceful artificial intelligence pdf
book available on the internet.
Table of Contents
- Artificial Intelligence Applications in
Transportation - Knowledge-Based Systems in Transportation
- Neural Networks
- Fuzzy Sets Theory Approach to Transportation
Problems - Genetic Algorithms
- Agent-Based Modeling in Transportation
10. Artificial Intelligence
Application to Critical Transportation Issues
Transportation is a vital part of our life and this
artificial intelligence book will bring your mind out of
traditional methods of transportation to the AI system. You can
judge whether AI suits for transportation or not. After that, one
of the best machine learning books will discuss five different
areas of application of artificial intelligence in transportation.
After that, a clear picture of future applications and prospects of
AI in transportation will come in an organized manner.
Table of Contents
- Why Artificial Intelligence
Difference Between Artificial Intelligence and Traditional
Methods Advantages and Limitations of Artificial
Intelligence
- Artificial Intelligence And Key Transportation
Applications Areas
Application Area 1: Traffic Operations
Application Area 2: Travel Demand Modeling
Application Area 3: Transportation Safety and
Security Application Area 4: Public
Transportation Application Area 5: Infrastructure
Design and Construction
- Thoughts on the Future of Artificial Intelligence and
Transportation
11. Artificial Intelligence in
Health and Health Care
Health is wealth, and AI has considered it with due
importance. Thereby there are a lot of applications of AI and a lot
of artificial intelligence books on Health. This is one of the best
artificial intelligence books where advance systems of AI in the
field of medicine are clear. The book also discusses personal
networked devices and apps used in medical science. The algorithm
of AI in this particular field is the main discussion part of this
book.
Table of Contents
- AI in Health Diagnostics: Opportunities and Issues for
Clinical Practice - The proliferation of Devices and Apps for Data Collection
And Analysis - Advancing AI Algorithm Development
- Large Scale Health Data
- Issues for Success
12. Artificial Intelligence in
Finance
Finance is a very vital field for artificial intelligence.
It is one of the best machine learning books that discuss AI or ML
and finance. Like all other books, this book has a nice history
background about AI, ML, and DL. Chronologically the book discusses
the way that AI changed the prospect and future of finance. The
book discusses quantum computing and machine learning side by side
to make it clear to the readers.
Table of Contents
- Taxonomy and Historical Overview of AI, ML, and
DL - Global Growth of the AI Industry
- How AI is Changing the Financial Services
Industry - Econometrics Versus ML
- Machine Learning Versus Quantum Computing
- Regulation and Policy Making
- Directions for Future Research
13. Explorations in Artificial
Intelligence and Machine Learning
Explorations in Artificial Intelligence and Machine
Learning is a good choice from all the Machine Learning and Deep
Learning books. This CRP PressBook contains the Bayesian approach,
hidden Markov Models, Neural Networks any many more. The book puts
a good emphasis on deep learning and artificial intelligence
completeness.
Table of Contents
- The Bayesian Approach to Machine Learning
- A Revealing Introduction to Hidden Markov
Models - Introduction to Reinforcement Learning
- Deep Learning for Feature Representation
- Neural Networks and Deep Learning
- AI-Completeness: The Problem Domain of Super-Intelligent
Machines
14. Practical Artificial
Intelligence for Dummies
Practical Artificial Intelligence for Dummies is a
Narrative Science Edition and one of the best Artificial
Intelligence books. The book evaluates artificial intelligence
based on business requirements and erases all hype and confusion
about AI. The reader can get a good inspiration and future planning
on AI after reading the book.
Table of Contents
- Preparing for Out Robot Masters
- Thinking About Thinking: The AI Ecosystem
- Driving Intelligence with Big Data
- Embracing Emerging Technologies
- Communicating with AI
- Preparing for Future and Ten Tips on How to Get
There
15. Introduction to Machine
Learning- The Wikipedia Guide
Earlier I have termed a book as the bible of AI and now I
can tell you, this is a bible for Machine Learning. This massive
book holds everything you need to know as a beginner and advanced
level learners. There are a lot of theories, different languages,
many learning systems, different analysis. The best part of the
book is that each important terms and topics are very widely
discussed and you can get adequate knowledge for understanding that
particular topic.
Table of Contents
- Machine Learning
- Artificial Intelligence
- Information Theory
- Computational Science
- Exploratory Data Analysis
- Predictive Analysis
- Business Intelligence
- Analytics
- Data Mining[19]
- Big Data
- Euclidean Distance
- Hamming Distance
- Norms (Mathematics)
- And much more
16. Introduction to Machine
Learning
The book is unlike the previous book but also one of the
best machine learning books that take the machine learning to a
good understanding level. The book comes with a good introduction
along with probability, algorithms, limit theorems, etc. The book
is concise but holds good information to feed the readers with
adequate and exact information.
Table of contents
- Density Estimation
- Optimization
- Conditional Densities
- Kernels and Function Spaces
- Linear Algebra and Functional Analysis
- Conjugate is tribute one
- Loss Functions
17. Machine Learning for
Humans
This is the only Machine Learning book that systematically
introduces Machine Learning with past, present, and future. In its
supervised and unsupervised way of leaning the book discusses
linear regression, loss functions, overfitting, gradient descent,
logistic regression, gradient descent, dimensional reduction, PCA,
VDA and a lot similar to this. The books present a good and curated
list of resources for the learners.
Table of contents
- The Big Picture of AI
- Supervised Learning: Leaning with an Answer
Key. - Supervised Learning II: Two methods of
Classification - Supervised Learning III: Non-Parametric
Learners - Unsupervised Learning: Clustering
- Neural Networks & Deep Learning
- Reinforcement Learning
18. Machine Learning for
Dummies
IBM brings to you one of the best machine learning books
named ‘Machine Learning for Dummies’ that offers you a great
understanding of the topic. The book mainly discusses with the
first two parts where it aims to make the basic understanding of ML
clear and the way to apply ML. Gradually it discusses the ways to
develop skills and utilization of ML in different innovative
ways.
Table of Contents
19. Understanding Machine Learning
From Theory to Algorithms
Machine learning is an integral part of artificial
intelligence. This is book owns a good place among all the best
machine learning books available. The book gives every detail of
the theory that you need to know about ML. At the same time, as it
says in its title, it provides full details of the algorithm to
make the readers clear. You can get an exercise session after each
chapter of the book.
Table of Contents
- Part I: Foundations
A Gentle Start A Formal Learning Model
Learning bus Uniform Convergence The
Bias-Complexity Tradeoff The VC-Dimension
No uniform Learnability The Runtime of
Learning
- Part II: From Theory to Algorithms
Linear Predictors Boosting Model
Selection and Validation Convex Learning
Problems Regularisation and Stability
Stochastic Gradient Descent Support Vector
Machines Kernel Methods Multi-class,
Tanking, ad Complex Prediction Problems Decision
Trees Nearest Neighbor Neural
Networks
- Part III: Additional Learning Models
Online Learning Clustering
Dimensionality Reduction Generative
Models Feature Selection and Generation
- Part IV: Advanced Theory
Radmacher Complexities Covering
Numbers Proof of the Fundamental Theorem of Learning
Theory Multi-class Learnability
Compression bounds PAC- Bayes
20. Deep Learning With
Python
Deep learning is a very important branch in Machine
Learning. We can consider it as a very standard and one of the best
machine learning books. The book starts with very basic things of
deep learning and after providing enough introduction and basics,
it discusses advanced level studies. A very nice a comprehensive
discussion about the neural network with mathematical explanation
is one of the prime discussions in the book. The basic starting
with neural networking is also a topic of study in the
book.
Table of Contents
- Part I: Fundamentals of Deep Learning
What is deep learning? Mathematical Building
Blocks of Neural Networks Getting Started With
Neural Networks Fundamentals of Machine
Learning
- Part II: Deep Learning in Practice
Deep Learning for Computer Vision Deep Learning
for Text and Sequence Advanced Deep-Learning
Best Practices Generative Deep Learning
Finally, Insights
The artificial intelligence is now such a technology that
itself will produce different systems to easy up human works very
shortly. As an ideal user of present technology and a developer to
the rising tech, we must work hard on knowing more and perfect on
artificial intelligence. So far we have tried to give you some
essential and quality deep learning, machine learning and
artificial intelligence books that will feed your hunger of
leaning.
We hope, these books will help you a lot in your
knowledge-seeking. Please share our effort and ease up others’
efforts to find the best artificial intelligence books. You are
always welcome if you have any suggestions or recommendations.
Please let us know by commenting below. Your suggestions will be
highly appreciated and valued.
References
- ^
application of Machine Learning
(www.ubuntupit.com) - ^
Artificial Intelligence vs Machine
Learning: 15 Interesting Facts To Know
(www.ubuntupit.com) - ^
Download
Pdf (drive.google.com) - ^
Download
Pdf (drive.google.com) - ^
Download
Pdf (drive.google.com) - ^
Download
Pdf (drive.google.com) - ^
Top 50
Frequently Asked Machine Learning Interview Questions and
Answers (www.ubuntupit.com) - ^
Download
Pdf (drive.google.com) - ^
Download
Pdf (drive.google.com) - ^
Neural
Networks (en.wikipedia.org) - ^
Download Pdf
(drive.google.com) - ^
Top 20
AI and Machine Learning Algorithms, Methods and Techniques
(www.ubuntupit.com) - ^
Download Pdf
(drive.google.com) - ^
Download Pdf
(drive.google.com) - ^
Download Pdf
(drive.google.com) - ^
Download Pdf
(drive.google.com) - ^
Download Pdf
(drive.google.com) - ^
Download Pdf
(drive.google.com) - ^
Data
Mining (www.ubuntupit.com) - ^
Download Pdf
(drive.google.com) - ^
Download Pdf
(drive.google.com) - ^
Download Pdf
(drive.google.com) - ^
Download Pdf
(drive.google.com) - ^
Download Pdf
(drive.google.com) - ^
Download Epub
(drive.google.com)
The shape of future technology is at the hand of
Artificial Intelligence. ‘Artificial intelligence’ and it’s baby
‘Machine Learning’ has become too powerful that other innovations
have fallen way behind in this century. Its presence is hidden
within us but performing numerous tasks to make our life easier.
Our mobile phones, laptops, cameras, airplanes, spaceships,
submarines, war equipment, etc all are adopting AI for a quick,
smooth and perfect result. Today we will discuss a list of
artificial intelligence books as well as machine learning books
that will show the evolution, importance, and application of Machine Learning[1] and Artificial
Intelligence.
As I said, Artificial Intelligence is the most powerful
innovation, thus there is no shortcut to learning it. All the
machines which are there so far and on the way to get existence
will be with the touch of AI. So, if anyone lacks knowledge of
artificial intelligence then it will be very tough for him to
handle all the innovative and necessary machines and devices. We
are here to suggest you some of the best artificial intelligence
pdf books along with some machine learning books to make your study
easier and fruitful on this subject.
Artificial Intelligence and Machine Learning
Books
This write-up will provide you with some best books on
Artificial Intelligence and Machine
Learning[2] available on the
internet. These books will help you to know the background,
development, structure, and deep analysis of both AI and ML. Books
on some important fields like education, agriculture, games,
transport, etc are mentioned where the importance, application and
all other aspects of AI are pointed out clearly. I hope, you can
get all kinds of knowledge and taste of Artificial Intelligence and
machine learning books from these.
1. Artificial
Intelligence
It is a basic but detailed Artificial intelligence pdf
book. The book discusses from the very general and initial
learnings about AI and then systematically goes into deep. It has
different chapters as the discussion is elaborated, and keeps a
summary and background to make it concise and fruitful to the
readers. The book gives different outstanding ways of learning
artificial intelligence. You can learn different rules and
languages from this book.
Table of Contents
- Part I: Representations and Methods
Chapter 1: Intelligent Computer Chapter 2:
Semantic Nets and Description Matching Chapter 3:
Generate and Test, Means-Ends Analysis, ad Problem Reduction
Chapter 4: Nets and Basic Search Chapter 5: Nets
and Optimal Search Chapter 6: Trees and Adversarial
Search Chapter 7: Rules and Rule Chaining
Chapter 8: Rules, Substrates, and Cognitive Modeling
Chapter 9: Frames and Inheritance Chapter 10:
Frames and Commonsense Chapter 11: Numeric Constraints
a Propagation Chapter 12: Symbolic Constraints and
Propagation Chapter 13: Logic and Resolution
Proof Chapter 14: Bracketing and Truth
Maintenance Chapter 15: Planning
- Part II: Learning and Regularity
Recognition
Chapter 16: Learning by Analyzing Differences
Chapter 17: Learning by Explaining Experience
Chapter 18: Learning by Correcting Mistakes
Chapter 19: Learning by Recording Cases Chapter
20: Learning by Managing Multiple Models Chapter 21:
Learning by Identification Trees Chapter 22: Learning
by Training Neural Nets Chapter 23: Learning by
Training Approximation Nets Chapter 25: Learning by
Simulating Evolution
- Part III: Vision and Languages
Chapter 26: Recognizing Objects Chapter 27:
Describing Images Chapter 28: Expressing Language
Constraints Chapter 29: Responding to Questions
and Commands
2. Handbook of Artificial
Intelligence
How about a book of AI that contains all of your answers
related to AI? Yes, this is one of the best artificial intelligence
and machine learning books that are rich in all information related
to Artificial Intelligence and Machine Learning. The book is too
vast and discusses every topic in an elaborated form.
AI, ML, DL all are very nicely discussed in the book. Some
more important topics like Automatic Programming and important
platforms of AI have come up in the book. The book has a special
emphasis on Medicine, Education, Chemistry in its
discussion.
Table of contents
- Search
- Representation of Knowledge
- Natural Language Understanding
- Speech Understanding System
- AI Programming Language
- Application-Oriented AI Research- Part I
- Application- Oriented AI Research – Part II-
Chemistry - Application- Oriented AI Research- Part III-
Medicine - Application- Oriented AI Research- Part IV-
Education - Automatic Programming
3. Artificial Intelligence-
Intelligent Systems
Those who want to select AI as their course subject, this
book is the perfect one as it provides basic introductory
information and knowledge about AI. The book is a tutorial and
prepared for the primary level learners. You need to have basic
knowledge of computer, math, science, ML, etc.
The book covers almost all the important topics related to
AI like algorithms, logistics, languages, etc. It is one of the
best artificial intelligence books that provide the knowledge of
Robotics, Neural Networks and many more. However, it can also be
considered one of the best machine learning books.
Table of Contents
- Overview of AI
- Intelligent Systems
- Research Areas of AI
- Agents and Environments
- Popular Search Algorithms
- Fuzzy Logic Systems
- Natural Language Processing
- Expert Systems
- Robotics
- Neural Networks
- AI Issues
- AI Terminology
4. Artificial Intelligence In
Society
The book is one of the most perfect artificial
intelligence books for people who want to grow interested in the
topic. The layout of the book is outstanding where almost all the
areas and platforms are well covered. How AI is used around the
world and how we are engaged in AI is well discussed in the book.
All the topics in the bookend up with references and notes to make
it an authentic one.
Table of Contents
- Technical Landscape
- Economic Landscape
- AI Applications
- Public Policy Considerations
- AI Policies and Initiatives
5. Artificial Intelligence in
Education
Education is always a very important platform for the
application field of any innovation. The proper application of AI
is the main discussion of this book. The book has firstly given the
reason why AI is important in education and how to utilize it. It
did not forget to highlight the background of artificial
intelligence and machine learning[7].
The book will be very easy for the new reader as there is
a discussion on the terminology. Advance level readers will also
get enough to read who knows AI but did not think of it with
education. you can consider it as one of the best artificial
intelligence and machine learning books.
Table of Contents
- The Context
- The What
- The How
- The Role Assessment
- AI in Education
- The Background of AI
- AI techniques and Terminology
- How AI Works in Education
- Applications of AI in Education
6. Brief Introduction to
Educational Implications of Artificial Intelligence
Treating Education as the backbone of a nation, the AI
society has introduced intelligence artificially in the Education
system. This artificial intelligence book is the right choice who
needs to get a better understanding of why AI or ML should be
introduced to Education. Though the term ‘brief’ is with the title
of the book, the book contains a considerable amount of information
and materials to understand the aim of the book.
Table of Contents
- Intelligence and Other AIDS to Problem
Solving - Goals of Education
- Computer Chess and Clesslandia
- Algorithmic and Heuristic Procedures
- Procedures Used in Game Playing
- Machine Learning
7. Practical Artificial
Intelligence Programming with Java
The book deals with two-dimensional grids, heuristic
search, Power-Loom system, Semantic web and many more. Like most of
the basic artificial intelligence books, this book provides a good
description of Neural Networks[10]. Your concept will
become clear about the Genetic Algorithm in AI after reading this
book. Different tables and figures make the book very easy to
understand and assimilate.
Table of Contents
- Search
- Reasoning
- Expert Systems
- Genetic Algorithms
- Neural Networks
- Machine Learning with Weka
- Statistical Natural Language Processing
- Information Gathering
Download
Pdf
8. Artificial Intelligence and
Games
The book is a great book that illuminates the history,
evolution, progress and further advancement of AI and Games. It
will give you an idea that why should you relate and go deep with
the study of this book. The relation of artificial intelligence and
the game is very clear in the book within its first
part.
Gradually the book will teach you different methods and
algorithms related to the topic. You can learn the ways of using AI
in games like an expert that also includes modeling of players.
Finally, you will get knowledge and Visualization of future AI and
games in the book.
Table of Contents
- Part I: Background
Brief History and Intro AI Methods
- Part II: Ways of Using AI in Games
Playing Games Generating Content
Modeling Players
- Part II: Road Ahead
Game AI Panorama Frontiers of Game AI
Research
9. Artificial Intelligence in
Transportation
How about a book that feeds you the concept of artificial
intelligence in mobilization? Yes, this is one of the best
artificial intelligence books that discuss transportation based on
AI. All the topics in the book are written by very renowned writers
which cover neural networks, different theory, AI and ML algorithms[12] and many more. The book
is a good introductory and resourceful artificial intelligence pdf
book available on the internet.
Table of Contents
- Artificial Intelligence Applications in
Transportation - Knowledge-Based Systems in Transportation
- Neural Networks
- Fuzzy Sets Theory Approach to Transportation
Problems - Genetic Algorithms
- Agent-Based Modeling in Transportation
10. Artificial Intelligence
Application to Critical Transportation Issues
Transportation is a vital part of our life and this
artificial intelligence book will bring your mind out of
traditional methods of transportation to the AI system. You can
judge whether AI suits for transportation or not. After that, one
of the best machine learning books will discuss five different
areas of application of artificial intelligence in transportation.
After that, a clear picture of future applications and prospects of
AI in transportation will come in an organized manner.
Table of Contents
- Why Artificial Intelligence
Difference Between Artificial Intelligence and Traditional
Methods Advantages and Limitations of Artificial
Intelligence
- Artificial Intelligence And Key Transportation
Applications Areas
Application Area 1: Traffic Operations
Application Area 2: Travel Demand Modeling
Application Area 3: Transportation Safety and
Security Application Area 4: Public
Transportation Application Area 5: Infrastructure
Design and Construction
- Thoughts on the Future of Artificial Intelligence and
Transportation
11. Artificial Intelligence in
Health and Health Care
Health is wealth, and AI has considered it with due
importance. Thereby there are a lot of applications of AI and a lot
of artificial intelligence books on Health. This is one of the best
artificial intelligence books where advance systems of AI in the
field of medicine are clear. The book also discusses personal
networked devices and apps used in medical science. The algorithm
of AI in this particular field is the main discussion part of this
book.
Table of Contents
- AI in Health Diagnostics: Opportunities and Issues for
Clinical Practice - The proliferation of Devices and Apps for Data Collection
And Analysis - Advancing AI Algorithm Development
- Large Scale Health Data
- Issues for Success
12. Artificial Intelligence in
Finance
Finance is a very vital field for artificial intelligence.
It is one of the best machine learning books that discuss AI or ML
and finance. Like all other books, this book has a nice history
background about AI, ML, and DL. Chronologically the book discusses
the way that AI changed the prospect and future of finance. The
book discusses quantum computing and machine learning side by side
to make it clear to the readers.
Table of Contents
- Taxonomy and Historical Overview of AI, ML, and
DL - Global Growth of the AI Industry
- How AI is Changing the Financial Services
Industry - Econometrics Versus ML
- Machine Learning Versus Quantum Computing
- Regulation and Policy Making
- Directions for Future Research
13. Explorations in Artificial
Intelligence and Machine Learning
Explorations in Artificial Intelligence and Machine
Learning is a good choice from all the Machine Learning and Deep
Learning books. This CRP PressBook contains the Bayesian approach,
hidden Markov Models, Neural Networks any many more. The book puts
a good emphasis on deep learning and artificial intelligence
completeness.
Table of Contents
- The Bayesian Approach to Machine Learning
- A Revealing Introduction to Hidden Markov
Models - Introduction to Reinforcement Learning
- Deep Learning for Feature Representation
- Neural Networks and Deep Learning
- AI-Completeness: The Problem Domain of Super-Intelligent
Machines
14. Practical Artificial
Intelligence for Dummies
Practical Artificial Intelligence for Dummies is a
Narrative Science Edition and one of the best Artificial
Intelligence books. The book evaluates artificial intelligence
based on business requirements and erases all hype and confusion
about AI. The reader can get a good inspiration and future planning
on AI after reading the book.
Table of Contents
- Preparing for Out Robot Masters
- Thinking About Thinking: The AI Ecosystem
- Driving Intelligence with Big Data
- Embracing Emerging Technologies
- Communicating with AI
- Preparing for Future and Ten Tips on How to Get
There
15. Introduction to Machine
Learning- The Wikipedia Guide
Earlier I have termed a book as the bible of AI and now I
can tell you, this is a bible for Machine Learning. This massive
book holds everything you need to know as a beginner and advanced
level learners. There are a lot of theories, different languages,
many learning systems, different analysis. The best part of the
book is that each important terms and topics are very widely
discussed and you can get adequate knowledge for understanding that
particular topic.
Table of Contents
- Machine Learning
- Artificial Intelligence
- Information Theory
- Computational Science
- Exploratory Data Analysis
- Predictive Analysis
- Business Intelligence
- Analytics
- Data Mining[19]
- Big Data
- Euclidean Distance
- Hamming Distance
- Norms (Mathematics)
- And much more
16. Introduction to Machine
Learning
The book is unlike the previous book but also one of the
best machine learning books that take the machine learning to a
good understanding level. The book comes with a good introduction
along with probability, algorithms, limit theorems, etc. The book
is concise but holds good information to feed the readers with
adequate and exact information.
Table of contents
- Density Estimation
- Optimization
- Conditional Densities
- Kernels and Function Spaces
- Linear Algebra and Functional Analysis
- Conjugate is tribute one
- Loss Functions
17. Machine Learning for
Humans
This is the only Machine Learning book that systematically
introduces Machine Learning with past, present, and future. In its
supervised and unsupervised way of leaning the book discusses
linear regression, loss functions, overfitting, gradient descent,
logistic regression, gradient descent, dimensional reduction, PCA,
VDA and a lot similar to this. The books present a good and curated
list of resources for the learners.
Table of contents
- The Big Picture of AI
- Supervised Learning: Leaning with an Answer
Key. - Supervised Learning II: Two methods of
Classification - Supervised Learning III: Non-Parametric
Learners - Unsupervised Learning: Clustering
- Neural Networks & Deep Learning
- Reinforcement Learning
18. Machine Learning for
Dummies
IBM brings to you one of the best machine learning books
named ‘Machine Learning for Dummies’ that offers you a great
understanding of the topic. The book mainly discusses with the
first two parts where it aims to make the basic understanding of ML
clear and the way to apply ML. Gradually it discusses the ways to
develop skills and utilization of ML in different innovative
ways.
Table of Contents
19. Understanding Machine Learning
From Theory to Algorithms
Machine learning is an integral part of artificial
intelligence. This is book owns a good place among all the best
machine learning books available. The book gives every detail of
the theory that you need to know about ML. At the same time, as it
says in its title, it provides full details of the algorithm to
make the readers clear. You can get an exercise session after each
chapter of the book.
Table of Contents
- Part I: Foundations
A Gentle Start A Formal Learning Model
Learning bus Uniform Convergence The
Bias-Complexity Tradeoff The VC-Dimension
No uniform Learnability The Runtime of
Learning
- Part II: From Theory to Algorithms
Linear Predictors Boosting Model
Selection and Validation Convex Learning
Problems Regularisation and Stability
Stochastic Gradient Descent Support Vector
Machines Kernel Methods Multi-class,
Tanking, ad Complex Prediction Problems Decision
Trees Nearest Neighbor Neural
Networks
- Part III: Additional Learning Models
Online Learning Clustering
Dimensionality Reduction Generative
Models Feature Selection and Generation
- Part IV: Advanced Theory
Radmacher Complexities Covering
Numbers Proof of the Fundamental Theorem of Learning
Theory Multi-class Learnability
Compression bounds PAC- Bayes
20. Deep Learning With
Python
Deep learning is a very important branch in Machine
Learning. We can consider it as a very standard and one of the best
machine learning books. The book starts with very basic things of
deep learning and after providing enough introduction and basics,
it discusses advanced level studies. A very nice a comprehensive
discussion about the neural network with mathematical explanation
is one of the prime discussions in the book. The basic starting
with neural networking is also a topic of study in the
book.
Table of Contents
- Part I: Fundamentals of Deep Learning
What is deep learning? Mathematical Building
Blocks of Neural Networks Getting Started With
Neural Networks Fundamentals of Machine
Learning
- Part II: Deep Learning in Practice
Deep Learning for Computer Vision Deep Learning
for Text and Sequence Advanced Deep-Learning
Best Practices Generative Deep Learning
Finally,
Insights
The artificial intelligence is now such a technology that
itself will produce different systems to easy up human works very
shortly. As an ideal user of present technology and a developer to
the rising tech, we must work hard on knowing more and perfect on
artificial intelligence. So far we have tried to give you some
essential and quality deep learning, machine learning and
artificial intelligence books that will feed your hunger of
leaning.
We hope, these books will help you a lot in your
knowledge-seeking. Please share our effort and ease up others’
efforts to find the best artificial intelligence books. You are
always welcome if you have any suggestions or recommendations.
Please let us know by commenting below. Your suggestions will be
highly appreciated and valued.
References
- ^
application of Machine Learning
(www.ubuntupit.com) - ^
Artificial Intelligence vs Machine
Learning: 15 Interesting Facts To Know
(www.ubuntupit.com) - ^
Download
Pdf (drive.google.com) - ^
Download
Pdf (drive.google.com) - ^
Download
Pdf (drive.google.com) - ^
Download
Pdf (drive.google.com) - ^
Top 50
Frequently Asked Machine Learning Interview Questions and
Answers (www.ubuntupit.com) - ^
Download
Pdf (drive.google.com) - ^
Download
Pdf (drive.google.com) - ^
Neural
Networks (en.wikipedia.org) - ^
Download Pdf
(drive.google.com) - ^
Top 20
AI and Machine Learning Algorithms, Methods and Techniques
(www.ubuntupit.com) - ^
Download Pdf
(drive.google.com) - ^
Download Pdf
(drive.google.com) - ^
Download Pdf
(drive.google.com) - ^
Download Pdf
(drive.google.com) - ^
Download Pdf
(drive.google.com) - ^
Download Pdf
(drive.google.com) - ^
Data
Mining (www.ubuntupit.com) - ^
Download Pdf
(drive.google.com) - ^
Download Pdf
(drive.google.com) - ^
Download Pdf
(drive.google.com) - ^
Download Pdf
(drive.google.com) - ^
Download Pdf
(drive.google.com) - ^
Download Epub
(drive.google.com)
Read more https://www.ubuntupit.com/best-machine-learning-and-artificial-intelligence-books/