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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 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_ 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
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
Training Data for Machine Learning (Third Early Release)_Anthony Sarkis.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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