
Artificial Intelligence
Aboul Ella Hassanien, Mona Soliman
Published 2022
153 pages
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 2022.

Aboul Ella Hassanien, Mona Soliman
Published 2022
153 pages

Fanny Ip, Jeremiah Crowley, Tom Torlone
Published 2022
376 pages

Sonali Vyas, Vinod Kumar Shukla, Shaurya Gupta, Ajay Prasad
Published 2022
286 pages

Michael Walker
Published 2022
542 pages

Michael Kaufmann, Thomas Dohmke, Donovan Brown
Published 2022
540 pages

Mamta Mittal; Gopi
Published 2022
271 pages

Asif Qumer Gill
Published 2022
244 pages

Ganji Purnachandra Nagaraju, Sarfraz Ahmad
Published 2022
468 pages

James Maivald
Published 2022
512 pages

Long Yuan, Shiyu Yang, Ruixuan Li, Evangelos Kanoulas, Xiang Zhao
Published 2022
764 pages

Albert Rutherford, Jae H. Kim PhD, Jae H. Kim, Jae H. Kim (Ph. D.)
Published 2022
209 pages

Felix Scholkmann, Joseph LaManna, Ursula Wolf
Published 2022
446 pages

Flavia Vischi Winck
Published 2022
201 pages

Zeeshan Jawed Shah
Published 2022
486 pages

Lei Zhang, Guoyin Wang, Fei Teng, Tianrui Li, Rui Mao
Published 2022
150 pages

Alan Bernardo Palacio
Published 2022
314 pages

Tiffany-Anne Timbers, Tomas Beuzen
Published 2022
222 pages

Jonas Rashedi
2022 · 2023 edition
136 pages

Robert Harles
Published 2022
256 pages

Shaopeng Zhong, Daniel (Jian) Sun
Published 2022
280 pages

Antoine Jacquier, Oleksiy Kondratyev, Alexander Lipton, Marcos Lopez de Prado
Published 2022
442 pages

Mark Asch
Published 2022
832 pages

Farzad Pour Rahimian, Saeed Banihashemi, Hamed Golizadeh
Published 2022
170 pages

Zhaohao Sun
Published 2022
456 pages