Artificial Intelligence Applications and Innovations
Rashmi Priyadarshini, R M Mehra, Amit Sehgal, Prabhu Jyot Singh
Published 2022
276 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
Signal Processing and Machine Learning with Applications
Michael M. Richter, Sheuli Paul
Published 2022
607 pages
Practical Gradient Boosting
Guillaume Saupin
Published 2022
208 pages
Efficient Routing and Storage Management in Intermittently Connected Mobile Networks
A. Subitha
Published 2022
132 pages
Building Big Data Pipelines with Apache Beam Use a Single Programming Model for Both Batch and Stream Data Processing
Jan Lukavsky
Published 2022
342 pages
Practical Machine Learning with Spark Uncover Apache Spark's Scalable Performance with High-Quality Algorithms Across NLP, Computer Vision and ML
Gourav Gupta, Manish Gupta, Inder Singh Gupta
Published 2022
500 pages
A Definitive Guide to Apache ShardingSphere Transform Any DBMS Into a Distributed Database with Sharding, Scaling, Encryption Features, and More
Trista Pan, Liang Zhang, Yacine Si Tayeb
Published 2022
466 pages
Production-Ready Applied Deep Learning Learn How to Construct and Deploy Complex Models in Pytorch and TensorFlow Deep Learning Frameworks
Tomasz Palczewski, Jaejun (Brandon) Lee, Lenin Mookiah
Published 2022
322 pages
Intelligent Document Processing with AWS AI/ML A Comprehensive Guide to Building IDP Pipelines with Applications Across Industries
Sonali Sahu
Published 2022
246 pages
Data Engineering with Alteryx Helping Data Engineers Apply DataOps Practices with Alteryx
Paul Houghton
Published 2022
366 pages
Applied Informatics for Industry 4.0
N. H. Siddique
2022 · 2023 edition
338 pages
Applying Data Science and Learning Analytics Throughout a Learner's Lifespan
Goran Trajkovski, Marylee Demeter, Heather Hayes
Published 2022
344 pages
Big Data Applications in Industry 4.0
P. Kaliraj, Devi Thirupathi
Published 2022
422 pages
Machine Learning Techniques for Text Apply Modern Techniques with Python for Text Processing, Dimensionality Reduction, Classification, and Evaluation
Nikos Tsourakis
Published 2022
448 pages
Understanding Artificial Intelligence Fundamentals and Applications
Albert Chun-Chen Liu, Oscar Ming Kin Law, Iain Law
Published 2022
224 pages
Application of Big Data in Petroleum Streams
Jay Gohil, Manan Shah
Published 2022
168 pages
Applying Reinforcement Learning on Real-World Data with Practical Examples in Python
Philip Osborne, Kajal Singh, Matthew E. Taylor
Published 2022
92 pages
Applied Intelligence for Industry 4.0
N. H. Siddique
2022 · 2023 edition
260 pages
Scanning and Sniffing
Digby Nguyen
Published 2022
94 pages
AI 2022
Published 2022
844 pages
Machine Learning Under Resource Constraints - Applications
Katharina Morik, Jörg Rahnenführer, Christian Wietfeld, Jens Buß, Andreas Becker
2022 · 2023 edition
478 pages
A Unifying Tutorial on Approximate Message Passing
Oliver Y. Feng, Ramji Venkataramanan, Cynthia Rush, Richard J. Samworth
Published 2022
216 pages
Genomics in Azure
Colby T. Ford
Published 2022
250 pages
Deep Neural Network Applications
Hasmik Osipyan, Bosede Edwards, Adrian David Cheok
Published 2022
158 pages