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1. Data Science

1.1 Natural Language Processing

1.2 Deep Learning

1.3 Machine Learning

1.3.1 Interpretable Machine Learning

1.4 Data Visualization

1.5 Data Mining

1.6 Bioinformatics & Cheminformatics

1.7 Graph Neural Networks & Graph relates

1.Data Science

Title Author(s) Edition Link
Ultimate Guide to Data Science Interviews: Go From a Job Hunt to Accepting An Offer www.springboard.com Telegram Link

1.1 Natural Language Processing

Title Author(s) Edition Link
Practical Natural Language Processing: A Pragmatic Approach to Processing and Analyzing Language Data Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, Harshit Surana 1st Telegram Link
Hands-On Natural Language Processing with Python: A practical guide to applying deep learning architectures to your NLP applications Rajesh Arumugam, Rajalingappaa Shanmugamani 1st Telegram Link
FastText Quick Start Guide: Get started with Facebook's library for text representation and classification Joydeep Bhattacharjee Paperback Edition Telegram Link
Speech and Language Processing Daniel Jurafsky, James Martin 3rd Telegram Link

1.2 Deep Learning

Title Author(s) Edition Link
Deep Learning Ian Goodfellow, Yoshua Bengio, Aaron Courville Illustrated Edition Telegram Link
Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD Jeremy Howard, Sylvain Gugger 1st Edition Telegram Link
Deep Learning with Python François Chollet 1st Telegram Link
Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools Eli Stevens, Luca Antiga, Thomas Viehmann 1st Telegram Link
Dive into Deep Learning Authors Online Available Link
Deep Learning for the Life Sciences: Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More Bharath Ramsundar, Peter Eastman, Patrick Walters, Vijay Pande 1st Telegram Link
The Deep Learning Revolution Terrence J. Sejnowski Hardcover Illustrated Telegram Link

1.3 Machine Learning

Title Author(s) Edition Link
Introduction to Machine Learning Ethem Alpaydin 3rd Telegram Link
The Hundred-Page Machine Learning Book Andriy Burkov Telegram Link
The Elements of Statistical Learning Trevor Hastie, Robert Tibshirani, Jerome Friedman 2nd Telegram Link
Machine Learning Yearning Andrew Ng Draft Version Telegram Link
Ensemble Methods: Foundations and Algorithms Zhi-Hua Zhou 1st Edition Telegram Link
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems Aurélien Géron 2nd Telegram Link
Python Machine Learning Sebastian Raschka, Vahid Mirjalili 2nd Telegram Link
机器学习 周志华 1st Telegram Link
统计学习方法 李航 1st Telegram Link
统计学习方法 李航 2nd Telegram Link
Pattern Recognition and Machine Learning (Information Science and Statistics) Christopher M. Bishop 1st Telegram Link
Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked Examples, and Case Studies John D. Kelleher, Brian Mac Namee, Aoife D'Arcy 2nd Telegram Link
Pragmatic AI: An Introduction to Cloud-Based Machine Learning (Addison Wesley Data & Analytics) Noah Gift 1st Telegram Link
Programming Collective Intelligence: Building Smart Web 2.0 Applications Toby Segaran 1st Telegram Link
Learning from Data Yaser Abu-Mostafa, Malik Magdon-Ismail, Hsuan-Tien Lin Hardcover Telegram Link

1.3.1 Interpretable Machine Learning

Title Author(s) Edition Link
Interpretable Machine Learning Christoph Molnar Paperback Telegram Link

1.4 Data Visualization

Title Author(s) Edition Link
Storytelling with Data: A Data Visualization Guide for Business Professionals Cole Nussbaumer Knaflic Paperback – Illustrated Telegram Link
Storytelling with Data: Let's Practice Cole Nussbaumer Knaflic PaperBack Telegram Link

1.5 Data Mining

Title Author(s) Edition Link
Mining of Massive Datasets Jure Leskovec, Anand Rajaraman, Jeffrey David Ullman 3rd Telegram Link

1.6 Bioinformatics & Cheminformatics

Title Author(s) Edition Link
Computational Approaches in Cheminformatics and Bioinformatics Rajarshi Guha, Andreas Bender 1st Telegram Link

1.7 Graph Neural Networks & Graph Relates

Title Author(s) Edition Link
Graph Representation Learning William L. Hamilton 1st Telegram Link
Networks, Crowds, and Markets: Reasoning About a Highly Connected World David Easley, Jon Kleinberg Telegram Link
Network Science Albert-László Barabási