100 Best Natural Language Processing Books of All Time (Updated for 2026)

1

Natural Language Processing with Python

Steven Bird, Ewan Klein, Edward Loper

5.0

This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range

Cover unavailable

2

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Geron

4.9

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.

By using concrete examples, minimal theory, and two production-ready Python frameworks-scikit-learn and

Recommended by Mark Tabladillo.

Mark Tabladillo

Book to Start You on Machine Learning - KDnuggets https://t.co/19fdX59b0d This book is “Hands-On Machine Learning with Scikit-Learn & TensorFlow”. each new revision has become an even better version of one of the best in-depth resources to learn Machine Learning by doing. https://t.co/ujyUH3xU3e [source]

3

You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place

Janelle Shane

4.8

AS HEARD ON NPR'S "SCIENCE FRIDAY"
Discover the book that Malcolm Gladwell, Susan Cain, Daniel Pink, and Adam Grant want you to read this year, an "accessible, informative, and hilarious" introduction to the weird and wonderful world of artificial intelligence (Ryan North).
"You look like a thing and I love you" is one of the best pickup lines ever... according to an artificial intelligence traine

Recommended by Robert Went.

Robert Went

Reading ‘You look like a thing and I love you: How AI works and why it is making the world a weirder place’, a wonderful book by @JanelleCShane — very funny, and I learn a lot https://t.co/SaZPjRTdVw [source]

4

Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition

Daniel Jurafsky, James H. Martin

4.8

This book offers a unified vision of speech and language processing, presenting state-of-the-art algorithms and techniques for both speech and text-based processing of natural language. This comprehensive work covers both statistical and symbolic approaches to language processing; it shows how they can be applied to important tasks such as speech recognition, spelling and grammar correction, infor

Cover unavailable

5

Introduction to Machine Learning with Python: A Guide for Data Scientists

Andreas C. Müller and Sarah Guido

4.8

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your ima

Recommended by Francesco Marconi.

Francesco Marconi

Top programming languages ranked by its annual search engine popularity. Python has gained momentum because of its importance to machine learning development. At @WSJ we are using it to build tools for journalists. Tip: this is a great book for anyone who wants to get started! https://t.co/ZsHjqB5gvC [source]

6

Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems

Aurélien Géron

4.8

Cover unavailable

7

Natural Language Processing in Action

Hobson Lane, Hannes Hapke, Cole Howard

4.7

Natural Language Processing in Action is your guide to creating machines that understand human language using the power of Python with its ecosystem of packages dedicated to NLP and AI! You'll start with a mental model of how a computer learns to read and interpret language. Then, you'll discover how to train a Python-based NLP machine to recognize patterns and extract information from text. As yo

8

Tinyml: Machine Learning with Tensorflow Lite on Arduino and Ultra-Low-Power Microcontrollers

Pete Warden

4.7

Neural networks are getting smaller. Much smaller. The OK Google team, for example, has run machine learning models that are just 14 kilobytes in size--small enough to work on the digital signal processor in an Android phone. With this practical book, you'll learn about TensorFlow Lite for Microcontrollers, a miniscule machine learning library that allows you to run machine learning algorithms on

9

AI Engineering: Building Applications with Foundation Models

Chip Huyen

4.7

Cover unavailable

10

Building Machine Learning Powered Applications: Going from Idea to Product

Emmanuel Ameisen

4.6

Learn the skills necessary to design, build, and deploy applications powered by machine learning. Through the course of this hands-on book, you'll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers with little or no ML experience will learn the tools, best practices, and challenges involved in building a real-worl

Cover unavailable

11

Foundations of Statistical Natural Language Processing

Christopher D. Manning, Hinrich Schütze

4.6

Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detail

12

Hands-On Large Language Models: Language Understanding and Generation

Jay Alammar and Maarten Grootendorst

4.6

Cover unavailable

13

Natural Language Processing with Python Quick Start Guide: Going from a Python developer to an effective Natural Language Processing Engineer

Nirant Kasliwal

4.6

14

Claude AI for Beginners Bible: [5 in 1] The Ultimate Guide to Automate Your Work, Save Hours Every Week, and Use AI for Real-World Results

Pierce J. Sheldon

4.5

Claude Doesn't Just Talk. It Builds. So Why Are You Still Using AI Like It's 2023? Something just changed in how AI actually works. For the first time, you can build real things with a single prompt. Documents. Spreadsheets. Code. Tools. Websites. Automations. Full email workflows. Even complete ad campaigns. No coding. No technical background. No years of training. Just an idea, a few sentences,

15

Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & Tensorflow

Anirudh Koul, Siddha Ganju, et al.

4.5

Whether you're a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach.

Relying on years of indu

Cover unavailable

16

Advanced Deep Learning with TensorFlow 2 and Keras: Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more, 2nd Edition

Rowel Atienza

4.5

17

Text Mining with R: A Tidy Approach

Julia Silge, David Robinson

4.5

Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, you'll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy principles behind R packages like ggraph and dplyr. You'll learn how tidytext and

18

LLM Engineer's Handbook: Master the art of engineering large language models from concept to production

Paul Iusztin and Maxime Labonne

4.5

19

The Laws of Thought: The Quest for a Mathematical Theory of the Mind

Tom Griffiths

4.5

From the coauthor of Algorithms to Live By, an exploration of the quest to use mathematics to describe the ways we think, from its origins three hundred years ago to the ideas behind modern AI systems and the ways in which they still differ from human mindsEveryone has a basic understanding of how the physical world works. We learn about physics and chemistry in school, letting us explain the worl

20

AI Agents in Action, Second Edition: Intelligent workflows with LLMs, MCP, A2A, and more

Micheal Lanham

4.5

Get the eBook free when you register your print book at Manning."Great contents, broad coverage, fun exercises. This book has it all.”—Saurabh Sawant, MicrosoftAI Agents in Action, Second Edition is a substantial revision and update of the first edition. It is a practical and comprehensive guide to building AI agents—not just understanding what they are, but designing, implementing, evaluating, an

Cover unavailable

21

Bayesian Analysis in Natural Language Processing

Shay Cohen

4.5

Natural language processing (NLP) went through a profound transformation in the mid-1980s when it shifted to make heavy use of corpora and data-driven techniques to analyze language. Since then, the use of statistical techniques in NLP has evolved in several ways. One such example of evolution took place in the late 1990s or early 2000s, when full-fledged Bayesian machinery was introduced to NLP.

22

Domain-Specific Small Language Models: Efficient AI for local deployment

Guglielmo Iozzia

4.5

Get the eBook free when you register your print book at Manning.When you need a language model to respond accurately and quickly about a specific field of knowledge, the sprawling capacity of a LLM may hurt more than it helps. This book teaches you to build generative AI models optimized for specific fields.Perfect for cost- or hardware-constrained environments, Small Language Models (SLMs) train

Cover unavailable

23

Neural Network Methods for Natural Language Processing

Yoav Goldber

4.5

Table of Contents:

Preface
Acknowledgments
Introduction
Learning Basics and Linear Models
From Linear Models to Multi-layer Perceptrons
Feed-forward Neural Networks
Neural Network Training
Features for Textual Data
Case Studies of NLP Features
From Textual Features to Inputs
Language Modeling
Pre-trained Word Representations
Using Word Embeddings
Case Study: A Feed-forward Architecture for Sentence Meaning Infe

24

The Hundred-Page Language Models Book: hands-on with PyTorch (The Hundred-Page Books)

Andriy Burkov

4.5

25

Artificial Intelligence All-in-One For Dummies (For Dummies (Computer/Tech))

Chris Minnick, John Paul Mueller, Luca Massaron, Stephanie Diamond, Pam Baker, Daniel Stanton, Shiv Singh, Paul Mladjenovic, Sheryl Lindsell-Roberts, Jeffrey Allan

4.5

A comprehensive roadmap to using AI in your career and in your lifeArtificial intelligence is everywhere. Major software organizations like Microsoft, Google, and Apple have built AI directly into products and invited the world to become part of the AI revolution. And it's impossible to use these tools to their fullest potential without understanding the basics of what AI is and what it can do. Ar

26

The StatQuest Illustrated Guide to Neural Networks and AI: With hands-on examples in PyTorch!!!

Josh Starmer

4.5

27

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition

Sebastian Raschka

4.5

Link to the GitHub Repository containing the code examples and additional material: https://github.com/rasbt/python-machi...

Many of the most innovative breakthroughs and exciting new technologies can be attributed to applications of machine learning. We are living in an age where data comes in abundance, and thanks to the self-learning algorithms from the field of machine learning, we can turn thi

Cover unavailable

28

The Handbook of Computational Linguistics and Natural Language Processing

Alexander Clark, Chris Fox, Shalom Lappin

4.4

This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP).
Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forward Includes an introduction to the major theoretical issues in these fields, as well as the central engineering a

29

Human Raised: Nurturing Connection, Curiosity & Lifelong Learning in the Age of AI

Dana Suskind MD

4.4

NATIONAL BESTSELLERFrom New York Times bestselling author Dana Suskind, a timely, urgent guide to parenting in the age of artificial intelligence—and protecting what matters most in childhood“A stunning book about how to protect our children—and our humanity—in the age of AI." —Adam Grant"Hope is not lost. It’s right here. If there is a young person in your life, Human Raised is for you." —Angela

30

Vision Language Models: Building VLMs with Hugging Face

Merve Noyan, Andrés Marafioti, Miquel Farré, Orr Zohar

4.4

Vision language models (VLMs) combine computer vision and natural language processing to create powerful systems that can interpret, generate, and respond in multimodal contexts. Vision Language Models is a hands-on guide to building real-world VLMs using the most up-to-date stack of machine learning tools from Hugging Face, Meta (PyTorch), NVIDIA (Cuda), and others, written by leading researchers

31

DOMINA CHATGPT EN 3 DÍAS: Aprovecha la Inteligencia Artificial para Destacar y ser más Eficiente - Enero 2025 Actulizado (Spa

Pablo Tapias Cantos

4.4

32

AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence

Laurence Moroney

4.4

Cover unavailable

33

Deep Learning with TensorFlow 2 and Keras: Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API, 2nd Edition

Antonio Gulli, Amita Kapoor, et al.

4.4

34

Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python

Sebastian Raschka

4.4

Cover unavailable

35

Conversational UX Design: A Practitioner's Guide to the Natural Conversation Framework

Robert J. Moore and Raphael Arar

4.4

With recent advances in natural language understanding techniques and far-field microphone arrays, natural language interfaces, such as voice assistants and chatbots, are emerging as a popular new way to interact with computers.

They have made their way out of the industry research labs and into the pockets, desktops, cars and living rooms of the general public. But although such interfaces recogni

36

Machine Learning System Design Interview

Ali Aminian

4.4

Cover unavailable

37

Biomedical Natural Language Processing

Kevin Bretonnel Cohen and Dina Demner-Fushman

4.4

"Biomedical Natural Language Processing" is a comprehensive tour through the classic and current work in the field. It discusses all subjects from both a rule-based and a machine learning approach, and also describes each subject from the perspective of both biological science and clinical medicine. The intended audience is readers who already have a background in natural language processing, but

Cover unavailable

38

Voicebot and Chatbot Design: Flexible conversational interfaces with Amazon Alexa, Google Home, and Facebook Messenger

Rachel Batish

4.4

Cover unavailable

39

Deep Learning with R

Francois Chollet and J. J. Allaire

4.4

Summary

Deep Learning with R introduces the world of deep learning using the powerful Keras library and its R language interface. The book builds your understanding of deep learning through intuitive explanations and practical examples.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

Machine learning has made remarkable

Cover unavailable

40

Accelerated Spanish: Learn Fluent Spanish with a Proven Accelerated Learning System

Timothy Moser

4.4

If you're like the majority of US high school graduates, you've (1) studied Spanish at some point and (2) already forgotten most of it.

It's time for a new language-learning method: One that teaches Spanish the way native speakers talk, using advanced mnemonic techniques you won't be able to forget.

Accelerated Spanish is the proven method that has trained hundreds of students, bringing dozens to fl

41

The Scaling Era: An Oral History of Large Language Models

Dwarkesh Patel and Gavin Leech

4.4

Cover unavailable

42

Ontology-Based Interpretation of Natural Language

Philipp Cimiano, Christina Unger, et al.

4.4

For humans, understanding a natural language sentence or discourse is so effortless that we hardly ever think about it. For machines, however, the task of interpreting natural language, especially grasping meaning beyond the literal content, has proven extremely difficult and requires a large amount of background knowledge. This book focuses on the interpretation of natural language with respect t

43

Architects of Intelligence: The truth about AI from the people building it

Martin Ford

4.4

Cover unavailable

44

Programming Pytorch for Deep Learning: Creating and Deploying Deep Learning Applications

Ian Pointer

4.4

Take the next steps toward mastering deep learning, the machine learning method that's transforming the world around us by the second. In this practical book, you'll get up to speed on key ideas using Facebook's open source PyTorch framework and gain the latest skills you need to create your very own neural networks.

Ian Pointer shows you how to set up PyTorch on a cloud-based environment, then wal

45

Microsoft Copilot For Dummies

Chris Minnick

4.4

Straightforward guidance on the AI tool that's built into Windows, Microsoft 365, and moreMicrosoft is enhancing all its most widely used productivity software―including Windows and apps like Word and Excel―with the power of AI. And now you can learn to make the most of this revolutionary new tool with Microsoft Copilot For Dummies!You'll discover how to write Copilot-friendly prompts, enhance out

Cover unavailable

46

Text Analytics with Python, Second Edition: A Practical Real-World Approach to Gaining Actionable Insights from Your Data

Dipanjan Sarkar

4.4

Leverage Natural Language Processing (NLP) fundamentals in Python and learn how to set up your own robust environment for performing text analytics. This updated version will show you how to use the latest state-of-the-art frameworks and how to work with text data in Python.

You'll explore several new topics, including working with Pythonfor NLP, illustrated with more hands-on examples. There are a

47

ChatGPT For Dummies

Pam Baker

4.4

48

Probabilistic Graphical Models: Principles and Techniques

Daphne Koller, Nir Friedman

4.4

A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions.

Most tasks require a person or an automated system to reason—to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The

49

Mastering ChatGPT for Beginners: How to Harness the Power of AI Language Models for Your Personal and Professional Growth

Shane Corbitt

4.3

50

Natural Language Processing with Transformers, Revised Edition

Lewis Tunstall

4.3

Cover unavailable

51

Machine Learning Pocket Reference: A Quick Guide to Structured Machine Learning Techniques

Matt Harrison

4.3

With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project.

Ideal for programmers, data scientists, and AI engineers, this book includes an over

52

AI for Beginners: Effortlessly Learn AI Essentials and Master Cutting-Edge Trends in Just 10 Days to Future-Proof Your Skills

Anne Frances Caraang and Miguel Khoury

4.3

53

The Cathedral & the Bazaar: Musings on Linux and Open Source by an Accidental Revolutionary

Eric S. Raymond

4.3

Open source provides the competitive advantage in the Internet Age. According to the August Forrester Report, 56 percent of IT managers interviewed at Global 2,500 companies are already using some type of open source software in their infrastructure and another 6 percent will install it in the next two years. This revolutionary model for collaborative software development is being embraced and stu

54

ChatGPT Made Simple: How Anyone Can Harness AI To Streamline Their Work, Study & Everyday Tasks To Boost Productivity & Maintain Competitive Edge By Mastering Prompt Engineering

D. Nardo Publications

4.3

55

Google Gemini AI From Beginner to Pro: The Fast and Simple Way to Stop Using AI Casually and Start Transforming Your Work, Your Output and Your Results in 30 Days

SETH THEO ELLIS

4.3

YOU USE GEMINI EVERY DAY. BUT YOU ARE STILL DOING MOST OF THE WORK YOURSELF.You open it. You type a question. You read the answer. You close the tab.And somewhere in the back of your mind, you know this is not what AI was supposed to feel like. You have heard about professionals who cut their workday in half. And yet every time you sit down with Gemini, you get a decent answer and still end up doi

Cover unavailable

56

Natural Language Processing and Computational Linguistics

Bhargav Srinivasa-Desikan

4.3

Cover unavailable

57

Spoken Language Processing: A Guide to Theory, Algorithm and System Development

Xuedong Huang, Alex Acero, et al.

4.3

*New advances in spoken language processing: theory and practice *In-depth coverage of speech processing, speech recognition, speech synthesis, spoken language understanding, and speech interface design *Many case studies from state-of-the-art systems, including examples from Microsofts advanced research labs Spoken Language Processing draws on the latest advances and techniques from multiple fiel

58

MASTER CHATGPT IN 3 DAYS: Leverage Artificial Intelligence to Stand Out and be More Efficient

Pablo Tapias Cantos

4.3

59

The Ultimate ChatGPT Prompt Book: 750+ Expert Prompts to Boost Productivity, Unlock Creative Potential, and Simplify Tasks

Igor Pogany

4.3

Discover the easiest way to leverage artificial intelligence with these 750+ ready-to-use ChatGPT prompts for common uses such as increasing work productivity, creative writing, fun and entertainment, and more.In this indispensable guide, Igor Pogany, Head of Education and partner of AI Advantage, empowers both newcomers and seasoned experts alike to “speak ChatGPT” with fluency and confidence. No

60

Grant Writing with AI For Dummies

Sheryl Lindsell-Roberts

4.3

Cover unavailable

61

Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

Maxim Lapa

4.3

62

The Ultimate Generative AI for Beginners Collection: The 3-in-1 Guide to Learn AI, Deep Learning & ChatGPT in Just Minutes a

Jordan Blake, Susan Prater, Michael Robinson, and NextGen AI Publications

4.3

63

Broke to Billionaire: How to Make Money Online with Ai

Brandon Chan

4.3

Cover unavailable

64

Natural Language Understanding

James Allen

4.3

From a leading authority in artificial intelligence, this book delivers a synthesis of the major modern techniques and the most current research in natural language processing. The approach is unique in its coverage of semantic interpretation and discourse alongside the foundational material in syntactic processing.

Cover unavailable

65

An Elementary Introduction to the Wolfram Language

Stephen Wolfram

4.3

The Wolfram Language represents a major advance in programming languages that makes leading-edge computation accessible to everyone. Unique in its approach of building in vast knowledge and automation, the Wolfram Language scales from a single line of easy-to-understand interactive code to million-line production systems. This book provides an elementary introduction to the Wolfram Language and mo

66

Agentic Architectural Patterns for Building Multi-Agent Systems: Proven design patterns and practices for GenAI, agents, RAG, LLMOps, and enterprise-scale AI systems

Dr. Ali Arsanjani, Juan Pablo Bustos

4.3

Transform GenAI experiments into production-ready intelligent agents with scalable AI systems, architectural patterns, frameworks, and responsible AI and governance best practicesFree with your book: DRM-free PDF version + access to Packt's next-gen Reader* Key FeaturesBuild robust single and multi-agent GenAI systems for enterprise useUnderstand the GenAI and Agentic AI maturity model and enterpr

67

Knowledge Graphs and LLMs in Action: Build AI systems using connected data

Alessandro Negro, Vlastimil Kus, Giuseppe Futia, Fabio Montagna

4.3

Combine knowledge graphs with large language models to deliver powerful, reliable, and explainable AI solutions.Knowledge graphs model relationships between the objects, events, situations, and concepts in your domain so you can readily identify important patterns in your own data and make better decisions. Paired up with large language models, they promise huge potential for working with structur

68

The AI Revolution in Medicine: GPT-4 and Beyond

Peter Lee

4.3

69

LLMs in Production: From language models to successful products

Christopher Brousseau and Matt Sharp

4.3

Cover unavailable

70

Linguistic Fundamentals for Natural Language Processing: 100 Essentials from Semantics and Pragmatics (Synthesis Lectures on Human Language Technologies)

Emily M. Bender and Alex Lascarides

4.3

71

What Is ChatGPT Doing ... and Why Does It Work?

Stephen Wolfram

4.3

72

AI Guide for Beginners: How to Use AI Prompts & Master Artificial Intelligence in 4 Practical Days (21 Days To Make Money Wit

Tigran Voskanyan

4.3

73

Super Study Guide: Transformers & Large Language Models

Afshine Amidi and Shervine Amidi

4.3

74

AI Valley: Microsoft, Google, and the Trillion-Dollar Race to Cash In on Artificial Intelligence

Gary Rivlin, Joe Knezevich, and HarperAudio

4.2

Cover unavailable

75

Augmented Human: How Technology Is Shaping the New Reality

Helen Papagiannis

4.2

Augmented Reality (AR) blurs the boundary between the physical and digital worlds. In AR's current exploration phase, innovators are beginning to create compelling and contextually rich applications that enhance a user's everyday experiences. In this book, Dr. Helen Papagiannis--a world-leading expert in the field--introduces you to AR: how it's evolving, where the opportunities are, and where it'

76

Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations

Yoav Shoham, Kevin Leyton-Brown

4.2

This exciting and pioneering new overview of multiagent systems, which are online systems composed of multiple interacting intelligent agents, i.e., online trading, offers a newly seen computer science perspective on multiagent systems, while integrating ideas from operations research, game theory, economics, logic, and even philosophy and linguistics. The authors emphasize foundations to create a

Cover unavailable

77

The Oxford Handbook of Computational Linguistics

Ruslan Mitkov

4.2

Thirty-eight chapters, commissioned from experts all over the world, describe major concepts, methods, and applications in computational linguistics. Part I, Linguistic Fundamentals, provides an overview of the field suitable for senior undergraduates and non-specialists from other fields of linguistics and related disciplines. Part II describes current tasks, techniques, and tools in Natural Lang

Cover unavailable

78

Introduction to Natural Language Processing

Jacob Eisenstein

4.1

A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques.

This textbook provides a technical perspective on natural language processing—methods for building computer software that understands, generates, and manipulates human language. It emphas

Cover unavailable

79

Pattern Recognition and Neural Networks

Brian D. Ripley

4.1

Pattern recognition has long been studied in relation to many different (and mainly unrelated) applications, such as remote sensing, computer vision, space research, and medical imaging. In this book Professor Ripley brings together two crucial ideas in pattern recognition; statistical methods and machine learning via neural networks. Unifying principles are brought to the fore, and the author giv

Cover unavailable

80

Knowledge Representation, Reasoning, and the Design of Intelligent Agents

Michael Gelfond

4.1

Knowledge representation and reasoning is the foundation of artificial intelligence, declarative programming, and the design of knowledge-intensive software systems capable of performing intelligent tasks. Using logical and probabilistic formalisms based on answer set programming (ASP) and action languages, this book shows how knowledge-intensive systems can be given knowledge about the world and

Cover unavailable

81

Text Data Management and Analysis: A Practical Introduction to Information Retrieval and Text Mining

ChengXiang Zhai and Sean Massung

4.1

Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. This has led to an increasing demand for powerful software tools to help people analyze and manage vast amounts of text data effectively and efficiently. Unl

82

101 Uses for Chat GPT: How to Master AI, Get More Done, Upgrade Your Life, and Expand Your Mind (Adulting Hard Books)

Jeffrey C. Chapman

4.1

83

ChatGPT and the Future of AI: The Deep Language Revolution

Terrence J. Sejnowski

4.1

Cover unavailable

84

Hands-On Recommendation Systems with Python: Start building powerful and personalized, recommendation engines with Python

Rounak Banik

4.1

Cover unavailable

85

Introduction to Formal Language Theory

Michael A. Harrison

4.1

Cover unavailable

86

Bootstrap Methods and their Application (Cambridge Series in Statistical and Probabilistic Mathematics)

A. C. Davison

4.1

Cover unavailable

87

Computational Logic and Human Thinking: How to Be Artificially Intelligent

Robert Kowalski

4.1

The practical benefits of computational logic need not be limited to mathematics and computing. As this book shows, ordinary people in their everyday lives can profit from the recent advances that have been developed for artificial intelligence. The book draws upon related developments in various fields from philosophy to psychology and law. It pays special attention to the integration of logic wi

Cover unavailable

88

Hands-On Natural Language Processing with Python: A practical guide to applying deep learning architectures to your NLP applications

Rajesh Arumugam and Rajalingappaa Shanmugamani

4.1

89

Learning LangChain: Building AI and LLM Applications with LangChain and LangGraph

Mayo Oshin and Nuno Campos

4.1

Cover unavailable

90

Python Text Processing with NLTK 2.0 Cookbook: Over 80 Practical Recipes for Using Python's NLTK Suite of Libraries to Maximize Your Natural Language Processing Capabilities

Jacob Perkins

4.1

The learn-by-doing approach of this book will enable you to dive right into the heart of text processing from the very first page. Each recipe is carefully designed to fulfill your appetite for Natural Language Processing. Packed with numerous illustrative examples and code samples, it will make the task of using the NLTK for Natural Language Processing easy and straightforward. This book is for P

Cover unavailable

91

Machine Learning with Python: The Ultimate Guide for Absolute Beginners with Steps to Implement Artificial Neural Networks with Real Examples (Useful Python Tools eg. Anaconda, Jupiter Notebook)

Daniel Géron

4.1

Cover unavailable

92

Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data

Ankur A. Patel

4.0

Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot be applied. Unsupervised learning, on the other hand, can be applied to unlabeled datasets to discover meaningful patterns buried deep in the data

Cover unavailable

93

Amazon Echo: Master Your Amazon Echo; User Guide and Manual

Andrew Mckinnon

4.0

AMAZON ECHO 2018 USER GUIDE! UPDATED FULLY FOR 2018 - NEW TIPS AND TRICKS FOR TOTAL CONTROL OF YOUR ECHO! Amazon just never stops getting better, with one of their most popular products, it just takes the entire Amazon experience into a whole new level. The Amazon Echo is a device that follows a voice command, providing you answers about news, music, weather and more. You can also use it to play y

94

AI Agents in Action

Micheal Lanham

4.0

95

Prompt Engineering for LLMs: The Art and Science of Building Large Language Model–Based Applications

John Berryman and Albert Ziegler

4.0

Cover unavailable

96

Arabic Computational Morphology: Knowledge-Based and Empirical Methods

Abdelhadi Soudi, Antal van den Bosch, Günter Neumann

4.0

This is the first comprehensive overview of computational approaches to Arabic morphology. The subtitle aims to reflect that widely different computational approaches to the Arabic morphological system have been proposed. The book provides a showcase of the most advanced language technologies applied to one of the most vexing problems in linguistics. It covers knowledge-based and empirical-based a

Cover unavailable

97

PyTorch: An Introduction Guide to Pytorch Deep Learning With Python for Beginners, 2019 Edition.

Jim Smith

4.0

Cover unavailable

98

Python 3 Text Processing with NLTK 3 Cookbook

Jacob Perkins

4.0

This book is intended for Python programmers interested in learning how to do natural language processing. Maybe you've learned the limits of regular expressions the hard way, or you've realized that human language cannot be deterministically parsed like a computer language. Perhaps you have more text than you know what to do with, and need automated ways to analyze and structure that text. This C

Cover unavailable

99

Computational Nonlinear Morphology: With Emphasis on Semitic Languages

George Anton Kiraz

4.0

By the late 1970s, phonologists, and later morphologists, had departed from a linear approach for describing morphophonological operations to a nonlinear one. Computational models, however, remain faithful to the linear model, making it very difficult, if not impossible, to implement the morphology of languages whose morphology is nonconcatanative. This study aims at presenting a computational sys

Cover unavailable

100

El fantasma en el libro: La vida en un mundo de traducciones

Javier Calvo Perales

4.0

El fantasma en el libro es un ensayo brillante sobre uno de los oficios menos conocidosy más presentes en la actualidad: la traducción. En un mundo lleno de traducciones, sigue siendo una profesión invisible, la gran desconocida que, paradójicamente, está en todas partes: en el trabajo, en el cine, en internet, en la publicidad, en los medios, en la calle.Javier Calvo, uno de los mejores traductor