Hypothesis Testing An Intuitive Guide for Making Data Driven Decisions
Jim Frost
2020 · 2024 edition
390 pages
The most popular artificial intelligence books of 2020
Books on artificial intelligence explain machines that learn and reason. How the technology works, what it can and cannot do, and what it means for jobs, creativity and society are all explored. You will find clear introductions for general readers and technical texts for people building these systems. This list shows the ones first published in 2020.
Results
AI and Humanity
Illah Reza Nourbakhsh, Jennifer Keating
Published 2020
160 pages
Representation Learning for Natural Language Processing
Zhiyuan Liu, Yankai Lin, Maosong Sun
2020 · 2023 edition
521 pages
Hands-On Machine Learning with ML.NET
Jarred Capellman
Published 2020
296 pages
The Robotic Process Automation Handbook
Tom Taulli
Published 2020
344 pages
Artificial Intelligence and Robotics
Peter Bentley
Published 2020
192 pages
Process Mining in Action
Lars Reinkemeyer
2020 · 2021 edition
232 pages
Machine Learning with R, the tidyverse, and mlr
Hefin I. Rhys
Published 2020
536 pages
Make Your First GAN With PyTorch
Tariq Rashid
Published 2020
208 pages
Learn Amazon SageMaker
Julien Simon
Published 2020
490 pages
Enterprise AI For Dummies
Zachary Jarvinen
Published 2020
352 pages
Introducing Machine Learning
Dino Esposito, Francesco Esposito
Published 2020
400 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
Slate Star Codex Essays
Alexander Scott
Published 2020
428 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
Intelligent Automation
Pascal Bornet, Ian Barkin, Jochen Wirtz
2020 · 2021 edition
432 pages
Rights for Robots Artificial Intelligence, Animal and Environmental Law
Joshua C. Gellers
2020 · 2022 edition
190 pages
Classification in the Wild The Science and Art of Transparent Decision Making
Ozgur Simsek, Marcus Buckmann, Gerd Gigerenzer, Konstantinos V. Katsikopoulos
2020 · 2021 edition
200 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
Practical Machine Learning in JavaScript TensorFlow.js for Web Developers
Charlie Gerard
Published 2020
323 pages
Ethics of Artificial Intelligence
S. Matthew Liao
Published 2020
544 pages
Practical Synthetic Data Generation Balancing Privacy and the Broad Availability of Data
Khaled El Emam, Lucy Mosquera, Richard Hoptroff
Published 2020
151 pages
Python for Linguists
Michael Hammond
Published 2020
310 pages