Society 5.0 A People-centric Super-smart Society
Hitachi and The University of Tokyo Lab
Published 2020
177 pages
The most popular data science books of 2020
Data science books show you how to learn from data. Statistics, databases, visualization and machine learning are taught through practical examples, usually with code. Beginners will find gentle introductions and working analysts will find deeper references. Good reading for a career change, too. This list shows the ones first published in 2020.
Results
Make Your First GAN With PyTorch
Tariq Rashid
Published 2020
208 pages
China's Quest for Foreign Technology
William C. Hannas, Didi Kirsten Tatlow
Published 2020
350 pages
Learn Amazon SageMaker
Julien Simon
Published 2020
490 pages
Enterprise AI For Dummies
Zachary Jarvinen
Published 2020
352 pages
Blueprints for Text Analysis Using Python Machine Learning-based Solutions for Common Real World (NLP) Applications
Jens Albrecht, Sidharth Ramachandran, Christian Winkler
Published 2020
401 pages
Introducing Machine Learning
Dino Esposito, Francesco Esposito
Published 2020
400 pages
Mastering Apex Programming
Paul Battisson, Mike Wheeler
Published 2020
368 pages
Google Data Studio for Beginners
Grant Kemp
Published 2020
123 pages
97 Things About Ethics Everyone in Data Science Should Know
Bill Franks
Published 2020
509 pages
Python for Finance Cookbook
Eryk Lewinson
Published 2020
432 pages
Hands-On Explainable AI (XAI) with Python Interpret, Visualize, Explain, and Integrate Reliable AI for Fair, Secure, and Trustworthy AI Apps
Denis Rothman
Published 2020
454 pages
The Phantom Pattern Problem The Mirage of Big Data
Gary Smith, Jay Cordes
Published 2020
240 pages
Driving Digital Transformation Through Data and AI A Practical Guide to Delivering Data Science and Machine Learning Products
Alexander Borek, Nadine Borek-Prill
Published 2020
264 pages
Practical Synthetic Data Generation Balancing Privacy and the Broad Availability of Data
Khaled El Emam, Lucy Mosquera, Richard Hoptroff
Published 2020
151 pages
Basketball Data Science
Paola Zuccolotto, Marica Manisera
Published 2020
219 pages
AWS Penetration Testing
Jonathan Helmus
2020 · 4416 edition
330 pages
Practical Fairness
Aileen Nielsen
Published 2020
347 pages
Kubernetes and Docker - An Enterprise Guide
Scott Surovich, Marc Boorshtein
Published 2020
526 pages
VBA Automation for Excel 2019 Cookbook
Mike Van Niekerk
Published 2020
362 pages
Interactive Web-based Data Visualization With R, Plotly, And Shiny
Carson Sievert
Published 2020
12 pages
Digital Marketing Analytics
Kevin Hartman
Published 2020
263 pages
Classic Computer Science Problems in Java
David Kopec
2020 · 2021 edition
264 pages
The AI Ladder Accelerate Your Journey to AI
Rob Thomas, Paul Zikopoulos
Published 2020
209 pages