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国内外经典热门人工智能相关书籍（460本+）
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A First Course in Artificial Intelligence_Deepak Khemani.pdf
A Guide to Convolutional Neural Networks for Computer Vision_Salman Khan, Hossein Rahmani, Syed Afaq Ali Shah, Mohammed Bennamoun.pdf
A Guided Tour of Artificial Intelligence Research - Volume 1_ Knowledge Representation, Reasoning and Learning_Pierre Marquis, Odile Papini, Henri Prade (Editors).pdf
A Guided Tour of Artificial Intelligence Research - Volume 2_ AI Algorithms_Pierre Marquis, Odile Papini, Henri Prade (Editors).pdf
A Guided Tour of Artificial Intelligence Research - Volume 3_ Interfaces and Applications of AI_Pierre Marquis; Odile Papini; Henri Prade (Editors).pdf
A Practical Approach for Machine Learning and Deep Learning Algorithms_ Tools and Techniques Using MATLAB and Python_Abhishek Kumar Pandey.pdf
Advances in Deep Learning for Medical Image Analysis_Taylor & Francis Group.pdf
AI for Games (AI for Everything)_Ian Millington.pdf
AI for Learning_Carmel Kent, Benedict du Boulay.pdf
AI-Powered Business Intelligence (Third Early Release)_Tobias Zwingmann.pdf
AI-Powered Commerce_ Building the products and services of the future with Commerce.AI_Andy Pandharikar, Frederik Bussler.pdf
Algorithms Are Not Enough_ Creating General Artificial Intelligence_Herbert Roitblat.pdf
An Introduction to Machine Learning Interpretability, Second Edition_Patrick Hall and Navdeep Gill.pdf
An Introduction to Machine Learning_Gopinath Rebala, Ajay Ravi, Sanjay Churiwala.pdf
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods_Nello Cristianini, John Shawe-Taylor.pdf
Applied Data Science_ Lessons Learned for the Data-Driven Business_Martin Braschler, Thilo Stadelmann, Kurt Stockinger.pdf
Applied deep learning with PyTorch_ demystify neural networks with PyTorch_Saleh, Hyatt.pdf
Applied Neural Networks with TensorFlow 2_ API Oriented Deep Learning with Python_Orhan Gazi Yalçın.pdf
Apprendre le Machine Learning en une semaine_Guillaume Saint-Cirgue.pdf
Approaching (almost) any machine learning problem_abhishek thakur.pdf
Arduino_ The Essential Step by Step Guide to Begin Your Own Projects_Matthew Thompson.pdf
Artificial Intelligence and Causal Inference_Momiao Xiong.pdf
Artificial intelligence and soft computing_ behavioral and cognitive modeling of the human brain_Amit Konar.pdf
Artificial Intelligence and the Fourth Industrial Revolution_Utpal Chakraborty & Amit Banerjee & Jayanta Kumar Saha & Niloy Sarkar & Chinmay Chakraborty.pdf
Artificial Intelligence for Business_Rajendra Akerkar.pdf
Artificial Intelligence for Dummies_John Paul Mueller, Luca Massaron.pdf
Artificial Intelligence for IoT Cookbook_Michael Roshak.pdf
Artificial Intelligence Foundations_ Learning from experience_Andrew Lowe, Steve Lawless.pdf
Artificial Intelligence in Finance_Jason Test, Mark Broker.pdf
Artificial Intelligence in Medicine_Niklas Lidströmer, Hutan Ashrafian.pdf
Artificial Intelligence Programming with Python_ From Zero to Hero_Xiao, Perry.pdf
Artificial Intelligence with Python (Machine Learning_ Foundations, Methodologies, and Applications)_Teik Toe Teoh, Zheng Rong.pdf
Artificial Intelligence with Python. Machine Learning_ Foundations, Methodologies, and Applications_T. Teoh, Z. Rong.pdf
Artificial Intelligence, IOT and machine Learning _ AI programs using Python A Beginners book_Donepudi, Praveen [Donepudi, Praveen].pdf
Artificial Intelligence-based Internet of Things Systems_Souvik Pal (editor), Debashis De (editor), Rajkumar Buyya (editor).pdf
Artificial Intelligence. Fundamentals and Applications_Cherry Bhargava, Pardeep Kumar Sharma (Editors).pdf
Artificial Intelligence_ 2021 HBR Insights. Everything You can Learn from Harvard Business Review_Allan Sciensbury.pdf
Artificial Intelligence_ A Modern Approach (4th Edition) (Pearson Series in Artifical Intelligence)_Stuart Russell, Peter Norvig.pdf
Artificial Intelligence_ A Modern Approach, 3rd Edition_Stuart J. Russell, Peter Norvig.pdf
Artificial Intelligence_ A Modern Approach, Global Edition_Stuart J. Russell, Peter Norvig.pdf
Artificial Intelligence_ An Illustrated History_ From Medieval Robots to Neural Networks _Clifford A. Pickover.pdf
Artificial Intelligence_ The Complete Beginners’ Guide to Artificial Intelligence_Roman Shirkin.pdf
Artificial Intelligence_ With an Introduction to Machine Learning_Richard E. Neapolitan, Xia Jiang.pdf
Artificial Intelligence_Kevin Knight, Elaine Rich, B. Nair.pdf
Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles_Chitra A.pdf
Artificial Psychology_ Psychological Modeling and Testing of AI Systems_James A. Crowder, John Carbone, Shelli Friess.pdf
Automated Deep Learning Using Neural Network Intelligence_ Develop and Design PyTorch and TensorFlow Models Using Python_Ivan Gridin.pdf
Automated Machine Learning in Action_Qingquan Song, Haifeng Jin, Xia Hu.pdf
Automated Machine Learning with Microsoft Azure_Dennis Michael Sawyers.pdf
Beginning Deep Learning with TensorFlow_ Work with Keras, MNIST Data Sets, and Advanced Neural Networks_Liangqu Long, Xiangming Zeng.pdf
Beginning Game AI with Unity_ Programming Artificial Intelligence with C#_Sebastiano M. Cossu.pdf
Beginning Machine Learning in the Browser_ Quick-start Guide to Gait Analysis with JavaScript and TensorFlow.js_Nagender Kumar Suryadevara.pdf
Better Deep Learning _Jason Brownlee.pdf
Beyond Algorithms_ Delivering AI for Business_James Luke, David Porter, Padmanabhan Santhanam.pdf
Blockchain and Deep Learning_ Future Trends and Enabling Technologies_Khaled R Ahmed, Henry Hexmoor.pdf
Building Computer Vision Projects with OpenCV 4 and C++_David Millán Escrivá .pdf
Building Data Science Solutions with Anaconda_ A comprehensive starter guide to building robust and complete models_DAN. MEADOR.pdf
Building Machine Learning Powered Applications_ Going From Idea to Product_Emmanuel Ameisen.pdf
Business Analytics_ Data Science for Business Problems_Walter R. Paczkowski.pdf
Clifford A Pickover Artificial Intelligence An Illustrated History From Medieval Robots to Neural Networks Sterling 2019_Clifford A Pickover.pdf
Computer Vision and Recognition Systems_Chiranji Lal Chowdhary, Taylor & Francis Group, G Thippa Reddy, B D Parameshachari.pdf
Creating Autonomous Vehicle Systems_Shaoshan Liu, Liyun Li, Jie Tang, Shuang Wu, and Jean-Luc Gaudiot.pdf
Data Analytics_ Principles, Tools, and Practices_ A Complete Guide for Advanced Data Analytics Using the Latest Trends, Tools_Dr. Gaurav Aroraa, Chitra Lele, Dr. Munish Jindal.pdf
Data Preparation for Machine Learning - Data Cleaning, Feature Selection, and Data Transforms in Python_Jason Brownlee.pdf
Data Preparation for Machine Learning_Jason Brownlee.pdf
Deep Learning avec Keras et TensorFlow_ Mise en oeuvre et cas concrets_Aurélien Géron, Hervé Soulard.pdf
Deep Learning Classifiers with Memristive Networks_ Theory and Applications_Alex Pappachen James.pdf
Deep Learning for Coders with fastai and PyTorch_Jeremy Howard; Sylvain Gugger.pdf
Deep Learning for Computer Vision - Image Classification, Object Detection and Face Recognition in Python_Jason Brownlee.pdf
Deep Learning for Dummies_John Paul Mueller, Luca Massaron.pdf
Deep Learning for NLP and Speech Recognition_Uday Kamath, John Liu, James Whitaker.pdf
Deep Learning From Scratch_ Building With Python From First Principles_Seth Weidman.pdf
Deep Learning in Visual Computing_ Explanations and Examples_Hassan Ugail.pdf
Deep Learning Techniques for Biomedical and Health Informatics_Basant Agarwal, Valentina Emilia Balas, Lakhmi C. Jain, Ramesh Chandra Poonia, Manisha Sharma.pdf
Deep Learning with Azure_ Building and Deploying Artificial Intelligence Solutions on the Microsoft AI Platform_Mathew Salvaris, Danielle Dean, Wee Hyong Tok.pdf
Deep Learning with Python_Francois Chollet.pdf
Deep Learning with PyTorch Lightning_ Swiftly build high-performance Artificial Intelligence (AI) models using Python_Kunal Sawarkar.pdf
Deep Learning, Machine Learning and Iot in Biomedical and Health Informatics_Sujata Dash, Subhendu Kumar Pani, Joel Jose Coelho Rodrigues, Babita Majhi.pdf
Deep Learning_ A Visual Approach_Andrew Glassner.pdf
Deep learning_ adaptive computation and machine learning_Bengio, Yoshua; Courville, Aaron; Goodfellow, Ian J.pdf
Deep Learning_ Fundamentals, Theory and Applications_Kaizhu Huang, Amir Hussain, Qiu-Feng Wang, Rui Zhang.pdf
Deep Learning_ Recurrent Neural Networks in Python_LazyProgrammer.pdf
Deep Neural Network Applications_Hasmik Osipyan, Bosede Edwards, Adrian David Cheok.pdf
Designing Machine Learning Systems (Fourth Early Release)_Chip Huyen.pdf
Designing Machine Learning Systems (Third Early Release)_Chip Huyen.pdf
Designing Machine Learning Systems_Chip Huyen.pdf
Digital Transformation_Reimund Neugebauer.pdf
Disappearing Architecture_ From Real to Virtual to Quantum_Aaron Betsky, Ole Bouman, David Deutsch.pdf
Dive into Deep Learning_Aston Zhang, Zachary C. Lipton, Mu Li, and Alexander J. Smola.pdf
Document Processing Using Machine Learning_Sk Md Obaidullah; KC Santosh; Teresa Gonçalves; Nibaran Das; Kaushik Roy.pdf
Effective Data Science Infrastructure_Ville Tuulos.pdf
Efficient Deep Learning (First Early Release)_Gaurav Menghani & Naresh Singh.pdf
Electronic Components (All Sensors, Basic Components, and other Important Components Used with Arduino)_Vijay Verma.pdf
Encyclopedia of Artifical Intelligence_Juan Ramon Rabunal Dopico, Juan Ramon Rabunal Dopico, Julian Dorado De La Calle, Alejandro Pazos Sierra.pdf
Essential Math for Data Science_Thomas Nield.pdf
Explainable and Interpretable Models in Computer Vision and Machine Learning_Hugo Jair Escalante, Sergio Escalera.pdf
Explainable Artificial Intelligence_ An Introduction to Interpretable Machine Learning_Uday Kamath, John Liu.pdf
Foundations of Machine Learning_Mohri Mehryar, Afshin Rostamizadeh, and Ameet Talwalkar.pdf
Fundamentals and Methods of Machine and Deep Learning_ Algorithms, Tools, and Applications_Pardeep Singh.pdf
Fundamentals of Deep Learning, 2nd Edition (Fourth Early Release)_Nithin Buduma & Nikhil Buduma & Joe Papa.pdf
Fundamentals of Deep Learning_ Designing Next-Generation Machine Intelligence Algorithms, 2nd Edition_Nikhil Buduma.pdf
Gamechanger AI_ How Artificial Intelligence Is Transforming Our World_Klaus Henning.pdf
Generative Adversarial Networks with Python_Jason Brownlee.pdf
Get SHiT Done with PyTorch_Venelin Vaklov.pdf
Getting Started with Natural Language Processing (MEAP V10)_Ekaterina Kochmar.pdf
Graph Neural Networks_ Foundations, Frontiers, and Applications_Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao.pdf
Grokking Artificial Intelligence Algorithms_Rishal Hurbans.pdf
Grokking Deep Learning_Andrew W. Trask.pdf
Grokking Deep Reinforcement Learning_Miguel Morales.pdf
Handbook of Computational Statistics and Data Science_Walter W. Piegorsch, Richard F. Levine, Hao Helen Zhang, Thomas C. M. Lee.pdf
Handbook of Metaheuristics_Michel Gendreau, Jean-Yves Potvin.pdf
Hands-on Machine Learning with Python_ Implement Neural Network Solutions with Scikit-learn and PyTorch_Ashwin Pajankar, Aditya Joshi.pdf
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition_Aurélien Géron.pdf
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition (Third Early Release)_Aurélien Géron.pdf
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition_Aurélien Géron.pdf
Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow_ Concepts, Tools, and Techniques to Build Intelligent Systems_Aurélien Géron.pdf
Hands-On Unsupervised Learning Using Python_ How to Build Applied Machine Learning Solutions from Unlabeled Data_Ankur A. Patel.pdf
Hands-On.Deep.Learning.for.Finance_Luigi Troiano,Arjun Bhandari and Elena Mejuto Villa.pdf
HBR's 10 Must Reads on AI, Analytics, and the New Machine Age_Harvard Business Review.pdf
High-Dimensional Data Analysis with Low-Dimensional Models_ Principles, Computation, and Applications_John Wright, Yi Ma.pdf
How To Smart Home_ A Step by Step Guide to Your Personal Internet of Things_Othmar Kyas.pdf
Implementing Machine Learning for Finance_ A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios_Tshepo Chris Nokeri.pdf
Informatics and Machine Learning_ From Martingales to Metaheuristics_Stephen Winters-Hilt.pdf
Inside Deep Learning_ Math, Algorithms, Models (Final Release)_Edward Raff.pdf
Inside Deep Learning_ Math, Algorithms, Models [MEAP]_Edward Raff.pdf
Inteligencia artificial avanzada_Benítez, Raúl; Escudero, Gerard; Kanaan, Samir.pdf
Inteligencia Artificial _ Métodos, Técnicas y Aplicaciones_José Tomás Palma Méndez.pdf
Inteligência Artificial_George F. Luger.pdf
Inteligência Artificial_Peter Norvig, Stuart Russell.pdf
Intelligent Workloads at the Edge_ Deliver cyber-physical outcomes with data and machine learning using AWS IoT_,,,,.pdf
Internet of Things_ A Hands-On Approach_Arshdeep Bahga, Vijay Madisetti.pdf
Interpretable AI_ Building Explainable Machine Learning Systems (Final Release)_Ajay Thampi.pdf
Introdução a Data Science - Algoritmos de Machine Learning e métodos de análise_Tatiana Escovedo, Adriano Koshiyama.pdf
Introducing Data Science_ Big Data, Machine Learning, and more, using Python tools_Davy Cielen, Arno Meysman, Mohamed Ali.pdf
Introduction au Machine Learning_Chloé-Agathe Azencott.pdf
Introduction to Deep Learning_ From Logical Calculus to Artificial Intelligence_Sandro Skansi.pdf
Introduction to Machine Learning with Python A Guide for Data Scientists_Andreas C. Muller, Sarah Guido.pdf
Introduction to machine learning with Python a guide for data scientists_Guido, Sarah;Müller, Andreas Christian.pdf
Introduction to Machine Learning with Python_ A Guide for Data Scientists_Andreas C. Müller, Sarah Guido.pdf
L'Esprit et la Machine_ Faut-il avoir peur de Intelligence Artificielle _Serge Boisse.pdf
Land of Lisp_ Learn to Program in Lisp, One Game at a Time!_Conrad Barski M.D..pdf
Learn TensorFlow 2.0_ Implement Machine Learning And Deep Learning Models With Python_Pramod Singh, Avinash Manure.pdf
Learning generative adversarial networks _ next-generation deep learning simplified_Ganguly, Kuntal.pdf
Learning TensorFlow_ A Guide to Building Deep Learning Systems_Tom Hope, Yehezkel S. Resheff, and Itay Lieder.pdf
Long Short-Term Memory Networks With Python_Jason Brownlee.pdf
Machine Learning & Genetic Algorithms_Shukla, Dr. Brahma Datta; Shukla, Dr. Brahma Datta; Tomar, Ms. Pragya Singh.pdf
Machine Learning - Introducao a classificacao_Casa do Codigo.pdf
Machine Learning and Deep Learning Techniques for Medical Science_K. G. Gayathri Devi, Kishore Balasubramanian, Le Anh Ngoc.pdf
Machine Learning Applications Using Python - Cases Studies from Healthcare, Retail, and Finance_Puneet Mathur.pdf
Machine learning con Python_ costruire algoritmi per generare conoscenza_Raschka, Sebastian.pdf
Machine Learning Engineering in Action (Final Release)_Ben Wilson.pdf
Machine Learning Engineering_Andriy Burkov.pdf
Machine learning essentials_Kassambara Alboukadel.pdf
Machine Learning for Absolute Beginners_Oliver Theobald.pdf
Machine Learning for Auditors_ Automating Fraud Investigations Through Artificial Intelligence_Maris Sekar.pdf
Machine Learning For Dummies_John Paul Mueller, Luca Massaron.pdf
Machine Learning for Financial Risk Management with Python_ Algorithms for Modeling Risk_Abdullah Karasan.pdf
Machine Learning for Healthcare Applications_Sachi Nandan Mohanty, G. Nalinipriya, Om Prakash Jena, Achyuth Sarkar.pdf
Machine Learning for High-Risk Applications_Patrick Hall, Rumman Chowdhury.pdf
Machine Learning for Risk Calculations_ A Practitioner's view_Ruiz, Ignacio, Zeron, Mariano.pdf
Machine Learning for Text, 2nd Edition_Charu Aggarwal.pdf
Machine learning for text_Aggarwal, Charu C.pdf
Machine Learning Fundamentals_ A Concise Introduction_Hui Jiang.pdf
Machine Learning Mastery with R_Jason Brownlee.pdf
Machine learning mastery with Weka_Jason Brownlee.pdf
Machine Learning Methods for Signal, Image and Speech Processing_Meerja Akhil Jabbar, Kantipudi MVV Prasad, Sheng-Lung Peng.pdf
Machine Learning Using Python_Manaranjan Pradhan and U Dinesh Kumar.pdf
Machine Learning with AWS_Jeffrey Jackovich, Ruze Richards.pdf
Machine Learning with Neural Networks_ An Introduction for Scientists and Engineers_Bernhard Mehlig.pdf
Machine Learning with PySpark_ With Natural Language Processing and Recommender Systems_Pramod Singh.pdf
Machine Learning with Python Cookbook_ Practical Solutions from Preprocessing to Deep Learning_Chris Albon.pdf
Machine Learning With PyTorch and Scikit-Learn_Sebastian Raschka, Yuxi (Hayden) Liu, Dr. Vahid Mirjalili.pdf
Machine Learning with TensorFlow_Nishant Shukla with Kenneth Fricklas.pdf
Machine Learning Yearning_Andrew Ng.pdf
Machine Learning_ A Probabilistic Perspective_Kevin P. Murphy.pdf
Machine Learning_ Make Your Own Recommender System (Machine Learning From Scratch Book 3)_Oliver Theobald [Theobald, Oliver].pdf
Machine Learning_ Master Supervised and Unsupervised Learning Algorithms with Real Examples (English Edition)_Doshi, Dr Ruchi, Hiran, Dr Kamal Kant,.pdf
Machine Learning_ Step-by-Step Guide To Implement Machine Learning Algorithms with Python_Rudolph Russell.pdf
Machine Learning_ The Art and Science of Algorithms that Make Sense of Data_Peter Flach.pdf
Machine Learning_ The Basics (Machine Learning_ Foundations, Methodologies, and Applications)_Alexander Jung.pdf
Machine Learning_Zhou, Zhi-Hua, .pdf
Make_ Elektronik. Lernen durch Entdecken_Charles Platt.pdf
Making Sense of AI_ Our Algorithmic World_Anthony Elliott.pdf
Managing AI in the Enterprise_ Succeeding with AI Projects and MLOps to Build Sustainable AI Organizations_Klaus Haller.pdf
Master Machine Learning Algorithms - Discover How They Work And Implement Them From Scratch_Jason Brownlee.pdf
Master Machine Learning Algorithms - Discover how they work_Jason Brownlee.pdf
Mastering Azure Machine Learning_ Execute large-scale end-to-end machine learning with Azure, 2nd Edition_Christoph Korner, Marcel Alsdorf.pdf
Mastering Machine Learning with scikit-learn 2nd edition_Gavin Hackeling.pdf
Mastering PyTorch_ Build powerful neural network architectures using advanced PyTorch 1.x features_Ashish Ranjan Jha.pdf
Math and Architectures of Deep Learning (MEAP V10)_Krishnendu Chaudhury, Ananya Ashok, Sujay Narumanchi, Devashish Shankar.pdf
Math for Deep Learning_ What You Need to Know to Understand Neural Networks_Ronald T. Kneusel.pdf
Mathematical Theories of Machine Learning - Theory and Applications_Bin Shi, S. S. Iyengar.pdf
MATLAB Deep Learning_ With Machine Learning, Neural Networks and Artificial Intelligence_Phil Kim.pdf
Microsoft Word - A-fy.doc_Administrator.pdf
Natural language processing for social media_Atefeh Farzindar; Diana Inkpen.pdf
Natural Language Processing Projects_ Build Next-Generation NLP Applications Using AI Techniques_Akshay Kulkarni, Adarsha Shivananda, Anoosh Kulkarni.pdf
Natural Language Processing Recipes_ Unlocking Text Data with Machine Learning and Deep Learning using Python_Akshay Kulkarni, Adarsha Shivananda.pdf
Natural Language Processing_ A Machine Learning Perspective_Yue Zhang, Westlake University & Zhiyang Teng, Westlake University.pdf
Neural Networks and Deep Learning_ A Textbook_Charu C. Aggarwal.pdf
New Patterns of Power and Profit_ A Strategist's Guide to Competitive Advantage in the Age of Digital Transformation_Eric K. Clemons.pdf
Object Detection and Recognition in Digital Images_ Theory and Practice_Boguslaw Cyganek(auth.).pdf
OCR with OpenCV, Tesseract, and Python - Intro to OCR_Adrian Rosebrock.pdf
OpenCV 3和Qt5计算机视觉应用开发_阿敏·艾哈迈迪·泰.pdf
OpenCV 4 for Secret Agents – Second Edition_Joseph Howse.pdf
OpenCV 4计算机视觉 Python语言实现(原书第3版)_作者[加] 约瑟夫·豪斯（Joseph Howse）[爱尔兰] 乔·米尼奇诺（Joe Minichino） 译者刘冰高博.pdf
OpenCV实例精解_ OpenCV By Example_普拉蒂克·乔希; 大卫·米兰·埃斯克里瓦; 维尼修斯·戈多伊.pdf
Pattern Recognition and Machine Learning_Christopher M. Bishop.pdf
Personalized Machine Learning_Julian McAuley.pdf
Practical AI for Cybersecurity_Ravi Das.pdf
Practical Explainable AI Using Python_ Artificial Intelligence Model Explanations Using Python-based Libraries, Extensions, and Frameworks_Pradeepta Mishra.pdf
Practical Full Stack Machine Learning_ A Guide to Build Reliable, Reusable, and Production-Ready Full Stack ML Solutions_Kumar, Alok.pdf
Practical Python and OpenCV_Adrian Rosebrock.pdf
Practical Recommender Systems_Kim Falk.pdf
Practical Simulations for Machine Learning (Fourth Early Release)_Paris Buttfield-Addison, Jon Manning, Mars Buttfield-Addison, Tim Nugent.pdf
Probabilistic Machine Learning_ Advanced Topics - Draft_Kevin P. Murphy.pdf
Probabilistic Machine Learning_ An Introduction_Kevin P. Murphy.pdf
Problemás resueltos de inteligencia artificial (e-book)_Severino Fernández.pdf
Python 3 for Machine Learning_Oswald Campesato [Campesato, Oswald].pdf
Python for Probability, Statistics, and Machine Learning_José Unpingco.pdf
Python Machine Learning for Beginners_ The Essential Beginners Guide to Numpy, Pandas, Matplotlib, Seaborn, SKlearn_,.pdf
Python Machine Learning_ A Step-by-Step Guide to Scikit-Learn and TensorFlow (Includes a Python Programming Crash Course)_Konnor Cluster.pdf
Python Machine Learning_ Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow_Sebastian Raschka, Vahid Mirjalili.pdf
Python Machine Learning_Sebastian Raschka.pdf
Python NumPy for Beginners_ NumPy Specialization for Data Science (Python for Beginners in Data Science and Data Analysis Book 1)_Publishing, AI.pdf
Python Pandas for Beginners_ Pandas Specialization for Data Scientist_AI Publishing.pdf
Python Programming For Beginners_ The Absolute Complete Beginner’s Guide to Learn and Apply Python Programming Language Using Best Practices and Advanced Features._Herron, James.pdf
Python_ Machine Learning Projects_MOUSAIF, YASSINE.pdf
Python机器学习（原书第2版） (数据科学与工程技术丛书)【文字版！！！】_塞巴斯蒂安·拉施卡（Sebastian Raschka） & 瓦希德·米尔贾利利（Vahid Mirjalili）.pdf
Python机器学习基础教程_[德]Andreas C. Müller,[美]Sarah Guido.pdf
Python机器学习经典实例_图灵程序设计丛书.pdf
Python深度学习_Francois Chollet.pdf
Python神经网络编程 Make Your Own Neural Network_塔里克·拉希德（Tariq Rashid）,林赐.pdf
Python神经网络编程（异步图书）_塔里克·拉希德(Tariq Rashid).pdf
Python数据分析基础_Brownley, Clinton.pdf
Python与机器学习实战_决策树、集成学习、支持向量机与神经网络算法详解及编程实现_何宇健.pdf
Python自然语言处理实战_[ YIN ] LA JIE SHEN · A LU MU GAN ( Rajesh Arumugam ) , YANG HANG YI.pdf
python自然语言处理实战_核心技术与算法_涂铭，刘祥，刘树春.pdf
PyTorch Artificial Intelligence Fundamentals_Jibin Mathew.pdf
PyTorch生成对抗网络编程_塔里克·拉希德(Tariq Rashid).pdf
Recent Advances in Big Data and Deep Learning_ Proceedings of the INNS Big Data and Deep Learning Conference INNSBDDL2019.pdf
Recent Trends and Advances in Artificial Intelligence and Internet of Things Valentina E. Balas, Raghvendra Kumar, Rajshree Srivastava.pdf
Recommender System for Improving Customer Loyalty_Katarzyna Tarnowska, Zbigniew W. Ras, Lynn Daniel.pdf
Recommender Systems Handbook_Francesco Ricci, Lior Rokach, Bracha Shapira (eds.).pdf
Recurrent Neural Networks_ From Simple to Gated Architectures_Fathi M. Salem.pdf
Recurrent Neural Networks_Xiaolin Hu, P. Balasubramaniam.pdf
Reinforcement learning and Optimal Control - Draft version_Dmitri Bertsekas.pdf
Reinforcement Learning and Stochastic Optimization _ A Unified Framework for Sequential Decisions_Warren B. Powell.pdf
Reinforcement learning_ an introduction_Richard S. Sutton, Andrew G. Barto.pdf
Representation Learning for Natural Language Processing_Zhiyuan Liu, Yankai Lin, Maosong Sun.pdf
Scikit-Learn Cookbook_ Over 80 Recipes for Machine Learning in Python With Scikit-Learn_Julian Avila.pdf
Signal Processing and Machine Learning for Brain–Machine Interfaces_Toshihisa Tanaka, Mahnaz Arvaneh.pdf
Smarter Than Us_ The Rise of Machine Intelligence_Stuart Armstrong.pdf
Speech and Language Processing An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition_Dan Jurafsky and James H. Martin.pdf
State Estimation for Robotics_Timothy D. Barfoot.pdf
Statistical Methods for Machine Learning_ Discover How to Transform Data into Knowledge with Python_Jason Brownlee.pdf
Statistics for Machine Learning_ Implement Statistical methods used in Machine Learning using Python _Singh, Himanshu.pdf
TensorFlow深度学习 = Deep learning with TensorFlow_Giancarlo Zaccone; Ahmed Menshawy; Md. Rezaul Karim.pdf
Text Mining in Practice with R_Ted Kwartler.pdf
The Hundred-Page Machine Learning Book_Andriy Burkov.pdf
The hundred-page machine learning book_Burkov, Andriy.pdf
The Machine Learning Solutions Architect Handbook_ Create machine learning platforms to run solutions in an enterprise setting_David Ping.pdf
The Myth of Artificial Intelligence_ Why Computers Can’t Think the Way We Do_Erik J. Larson.pdf
The Principles of Deep Learning Theory_Daniel A. Roberts, Sho Yaida, Boris Hanin.pdf
The Statistical Physics of Data Assimilation and Machine Learning_Henry D. I. Abarbanel.pdf
The StatQuest Illustrated Guide to Machine Learning!!!_Josh Starmer.pdf
The TensorFlow Workshop_ A hands-on guide to building deep learning models from scratch using real-world datasets_ANTHONY. MOOCARME MADDALONE (MATTHEW. SO, ANTHONY.).pdf
Time Series Analysis on AWS_ Learn how to build forecasting models and detect anomalies in your time series data_Michael Hoarau.pdf
Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence_Nikola K. Kasabov.pdf
TinyML Cookbook_Gian Marco Iodice.pdf
Trading Decoded - Artificial Intelligence Applications In Finance_ Machine Learning for Algorithmic Quantitative trading_Avirath Kakkar Arvin Sahni Rajalingappaa Shanmugamani.pdf
Training Data for Machine Learning (Third Early Release)_Anthony Sarkis.pdf
Transactional Machine Learning with Data Streams and AutoML_ Build Frictionless and Elastic Machine Learning Solutions with Apache Kafka in the Cloud Using Python_Sebastian Maurice.pdf
Transfer Learning for Natural Language Processing_Paul Azunre.pdf
Transfer Learning_Qiang Yang, Yu Zhang, Wenyuan Dai, Sinno Jialin Pan.pdf
Transformers for Natural Language Processing_ Build, train and fine-tune deep neural network architectures, 2nd Edition_Denis Rothman.pdf
Tree-Based Convolutional Neural Networks_ Principles and Applications_Lili Mou, Zhi Jin.pdf
Unity Artificial Intelligence Programming_ Add powerful, believable and fun AI entities in your game, 5th Edition_Davide Aversa.pdf
[图灵程序设计丛书].深度学习的数学_[图灵程序设计丛书].深度学习的数学.pdf
[图灵程序设计丛书]白话机器学习的数学_立石贤吾.pdf
[图灵程序设计丛书]精通特征工程【文字版】_爱丽丝•郑 阿曼达•卡萨丽.pdf
Введение в машинное обучение с помощью Python. Руководство для специалистов по работе с данными_А. Мюллер, С. Гвидо.pdf
Машинное обучение с использованием Python. Сборник рецептов_Крис Элбон.pdf
Машинное обучение. Наука и искусство построения алгоритмов, которые извлекают знания из данных_Флах П..pdf
白话机器学习算法_[新加坡] 黄莉婷,苏川集,武传海(译).pdf
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