Explainable AI for Practitioners Designing and Implementing Explainable ML Solutions
Michael Munn, David Pitman
Published 2022
259 pages
The most popular data science books of 2022
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.
Results
Applied Edge AI Concepts, Platforms, and Industry Use Cases
Pethuru Ray
Published 2022
318 pages
Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence
Romil Rawat, Vinod Mahor, Shrikant Telang, Kiran Pachlasiya
Published 2022
281 pages
Application of Machine Learning in Agriculture
Mohammad Ayoub Khan, Rijwan Khan, Mohammad Aslam Ansari
Published 2022
330 pages
Practical Simulations for Machine Learning Using Synthetic Data for AI
Paris Buttfield-Addison, Jon Manning, Mars Buttfield-Addison, Tim Nugent
Published 2022
313 pages
Essential Math for Data Science Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
Thomas Nield
Published 2022
332 pages
CBRNE
Deeph Chana, Peter D.E. Biggins
2022 · 2023 edition
235 pages
Algorithms for Decision Making
Mykel J. Kochenderfer, Tim A. Wheeler, Kyle H. Wray
Published 2022
700 pages
Practical Linear Algebra for Data Science From Core Concepts to Applications Using Python
Mike X. Cohen
Published 2022
311 pages
Edge Networking Internet of Edges
Khaldoun Al Agha, Pauline Loygue, Guy Pujolle
Published 2022
272 pages
Deep Learning for Robot Perception and Cognition
Anastasios Tefas, Alexandros Iosifidis
Published 2022
634 pages
Data Forecasting and Segmentation Using Microsoft Excel Perform Data Grouping, Linear Predictions, and Time Series Machine Learning Statistics Without Using Code
Fernando Roque
Published 2022
324 pages
Data Structure and Algorithm
Nikhat Raza Khan, Manmohan Singh, Piyush Kumar Shukla
Published 2022
340 pages
A Textbook of Data Structures and Algorithms, Volume 3 Mastering Advanced Data Structures and Algorithm Design Strategies
G. A. Vijayalakshmi Pai
2022 · 2023 edition
368 pages
Algorithms and Methods in Structural Bioinformatics
Nurit Haspel, Filip Jagodzinski, Kevin Molloy
Published 2022
114 pages
Meta-Learning Theory, Algorithms and Applications
Lan Zou
Published 2022
402 pages
Machine Learning Algorithms and Applications in Engineering
Prasenjit Chatterjee, Morteza Yazdani, Francisco Fernández-Navarro, Javier Pérez-Rodríguez
2022 · 2023 edition
314 pages
Evaluation Complexity of Algorithms for Nonconvex Optimization Theory, Computation, and Perspectives
Coralia Cartis, Nicholas I, Philippe L. Toint
Published 2022
531 pages
Algorithms and Solutions Based on Computer Technology 5th Scientific International Online Conference Algorithms and Solutions based on Computer Technology (ASBC 2021)
Carlos Jahn, Igor Ilin, László Ungvári
Published 2022
401 pages
A Textbook of Data Structures and Algorithms, Volume 1 Mastering Linear Data Structures
G. A. Vijayalakshmi Pai
2022 · 2023 edition
288 pages
Heterogeneous Graph Representation Learning and Applications
Chuan Shi, Xiao Wang, Philip S. Yu
Published 2022
318 pages
Machine Learning in Bioinformatics of Protein Sequences Algorithms, Databases and Resources for Modern Protein Bioinformatics
Lukasz Kurgan
2022 · 2023 edition
359 pages
AI 2022
Haris Aziz, Débora Corrêa, Tim French
Published 2022
817 pages
Smart Data Intelligence
R. Asokan, Diego P. Ruiz, Zubair A. Baig, Selwyn Piramuthu
2022 · 2023 edition
615 pages