Smart Systems for E-Health
Hanen Idoudi, Thierry Val
Published 2021
247 pages
The most popular data science books of 2021
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 2021.
Results
Transfer Learning for Multiagent Reinforcement Learning Systems
Felipe Leno da Silva
2021 · 2022 edition
111 pages
Artificial Intelligence and Data Mining for Mergers and Acquisitions
Debasis Chanda
Published 2021
188 pages
Visualizing Dynamic Systems Volumetric and Holographic Display
Mojgan Haghanikar
Published 2021
87 pages
Data Protection Officer
Filip Johnssén, Sofia Edvardsen
Published 2021
Fault-Tolerant Distributed Transactions on Blockchain
Suyash Gupta, Jelle Hellings, Mohammad Sadoghi
Published 2021
268 pages
Redis® Deep Dive Explore Redis - Its Architecture, Data Structures and Modules like Search, JSON, AI, Graph, Timeseries
Suyog Dilip Kale, Chinmay Kulkarni
Published 2021
228 pages
Rollout, Policy Iteration, and Distributed Reinforcement Learning
Dimitri Bertsekas
Published 2021
498 pages
Excel 2021 The Key to Becoming an Excel Master in Less Than 30 Minutes a Day | a Complete Step-By-Step Guide from Beginner to Expert Thanks to Unique Smart Method + Practical Examples
Eugene Gates
Published 2021
205 pages
Privacy and Data Protection Challenges in the Distributed Era
Eugenia Politou, Efthimios Alepis, Maria Virvou, Constantinos Patsakis
Published 2021
185 pages
Data Analytics for Absolute Beginners
Oliver Theobald
Published 2021
160 pages
Data Visualization Guide Clear Guide to Data Science and Visualization
Alex Campbell
Published 2021
194 pages
Data Science and Big Data Analytics A Step by Step Guide to Learn Data Science from Scratch with Python Machine Learning and Big Data
Andrew Park
Published 2021
124 pages
Recent Advances in Technology Acceptance Models and Theories
Mostafa Al-Emran, Khaled Shaalan
Published 2021
520 pages
Python for Data Science A Guide to Learn in Depth This Programming Language to Reorder Data While Remaining Focused on Your Specific Purposes
Dylan Penny
Published 2021
94 pages
Risk Analytics From Concept to Deployment
Edward H. K. Ng
Published 2021
243 pages
DATA MINING. The CRISP-DM METHODOLOGY. The CLEM language and IBM SPSS MODELER
Perez
Published 2021
163 pages
Forecasting Time Series Data with Facebook Prophet Build, Improve, and Optimize Time Series Forecasting Models Using the Advanced Forecasting Tool
Greg Rafferty
Published 2021
270 pages
Kanban Six Sigma - Startup - Enterprise - Analytics 5s Methodologies. Exploits Kaizen System for Perpetual Improvement. Exploits Kanban System for Optimize Workflow.
Ross Pypkin
Published 2021
112 pages
Modern Nonconvex Nondifferentiable Optimization
Jong-Shi Pang, Ying Cui
2021 · 2022 edition
756 pages
Mastering Python for Bioinformatics How to Write Flexible, Documented, Tested Python Code for Research Computing
Ken Youens-Clark
Published 2021
429 pages
Artificial Intelligence A Textbook
Charu C. Aggarwal
Published 2021
Artificial Intelligence in Healthcare
Lalit Garg, Sebastian Basterrech, Chitresh Banerjee, Tarun K. Sharma
2021 · 2022 edition
Mastering Python for Bioinformatics
Ken Youens-Clark
Published 2021
800 pages