Deep Learning with TensorFlow and Keras Build and Deploy Supervised, Unsupervised, Deep, and Reinforcement Learning Models
Antonio Gulli, Amita Kapoor, Sujit Pal, François Chollet
Published 2022
698 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
Hands-On Financial Modeling with Excel for Microsoft 365 Build Your Own Practical Financial Models for Effective Forecasting, Valuation, Trading, and Growth Analysis
Shmuel Oluwa
Published 2022
346 pages
Hands-On Data Preprocessing in Python
Roy Jafari
Published 2022
602 pages
Data Storytelling with Google Looker Studio A hands-on guide to using Looker Studio for building compelling and effective dashboards
Sireesha Pulipati
Published 2022
464 pages
Anomaly Detection and Complex Event Processing Over IoT Data Streams
Fatos Xhafa, Patrick Schneider
Published 2022
406 pages
Infrastructure as Code with Azure Bicep
Yaser Adel Mehraban, John Downs, Edmondo Rosini
Published 2022
230 pages
Python for Finance Cookbook Over 80 powerful recipes for effective financial data analysis
Eryk Lewinson
Published 2022
740 pages
Data Science in Context
Peter Norvig, Chris Wiggins, Alfred Z. Spector, Jeannette M. Wing
Published 2022
336 pages
Analytics for Retail
Rhoda Okunev
Published 2022
170 pages
Getting Started with Grafana
Ronald McCollam
Published 2022
466 pages
Operating AI Bridging the Gap Between Technology and Business
Ulrika Jagare
Published 2022
272 pages
Technologies and Applications for Big Data Value
Edward Curry, Andreas Metzger, Sonja Zillner, Sören Auer, S�ren Auer, Arne J. Berre, Maria S. Perez
Published 2022
568 pages
Financial Modelling in Power BI Forecasting Business Intelligently
Liam Bastick, Jonathan Liau
Published 2022
338 pages
Data Science
Monika Freunek Muller
2022 · 2026 edition
250 pages
Design of Web Based Data Structure
Sahasrabuddhe Dhanashri Vinay
2022 · 2023 edition
130 pages
Quantum Computing for the Brain
Melanie Swan, Frank Witte, Mikhail Lebedev, Renato P Dos Santos, Mikhail A. Lebedev
Published 2022
552 pages
Metalearning Applications to Automated Machine Learning and Data Mining
Joaquin Vanschoren, Pavel Brazdil, Jan N. van Rijn, Carlos Soares
Published 2022
346 pages
Human-Centric Smart Computing
Siddhartha Bhattacharyya, Jyoti Sekhar Banerjee, Mario Köppen
2022 · 2025 edition
500 pages
Advanced Network Technologies and Intelligent Computing
Isaac Woungang, Sanjay Kumar Dhurandher, Kiran Kumar Pattanaik, Anshul Verma, Pradeepika Verma
2022 · 2025 edition
489 pages
MATLAB for ENGINEERING and EXPERIMENTAL SCIENCES
Perez
Published 2022
207 pages
Divided Differences, Falling Factorials, and Discrete Splines Another Look at Trend Filtering and Related Problems
Ryan J. Tibshirani
Published 2022
174 pages
Latent Factor Analysis for High-dimensional and Sparse Matrices A particle swarm optimization-based approach
Ye Yuan, Xin Luo
Published 2022
92 pages
Comet for Data Science Enhance Your Ability to Manage and Optimize the Life Cycle of Your Data Science Project
Angelica Lo Duca, Gideon Mendels
Published 2022
402 pages
Sparse Polynomial Approximation of High-dimensional Functions
Ben Adcock, Simone Brugiapaglia, Clayton G. Webster
Published 2022
292 pages