Neural Machine Translation
Philipp Koehn
Published 2020
406 pages
The most popular data science books of 2020
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 2020.
Results
The Patient Equation The Precision Medicine Revolution in the Age of COVID-19 and Beyond
Glen de Vries, Jeremy Blachman
Published 2020
288 pages
Hands-On Simulation Modeling with Python
Giuseppe Ciaburro
Published 2020
346 pages
Building an Anonymization Pipeline Creating Safe Data
Luk Arbuckle, Khaled El Emam
Published 2020
148 pages
Machine Learning Engineering
Andriy Burkov
Published 2020
282 pages
The Art of Feature Engineering Essentials for Machine Learning
Pablo Duboue
Published 2020
284 pages
Sales with SAP S/4HANA Business Processes and Configuration
Christian van Helfteren
Published 2020
766 pages
Azure Storage, Streaming, and Batch Analytics A guide for data engineers
Richard L. Nuckolls
Published 2020
448 pages
Data Mining and Machine Learning Fundamental Concepts and Algorithms
Mohammed Zaki, Wagner Meira, Jr
Published 2020
776 pages
Hands-On One-shot Learning with Python
Shruti Jadon, Ankush Garg
2020 · 4393 edition
156 pages
Learn Helm
Andrew Block, Austin Dewey
2020 · 4399 edition
344 pages
Mastering Azure Machine Learning
Christoph Korner, Kaijisse Waaijer
Published 2020
436 pages
Mastering Reinforcement Learning with Python
Enes Bilgin
Published 2020
544 pages
Deep Learning with JavaScript
Shanqing Cai, Stanley Bileschi, Eric D. Nielsen, François Chollet
Published 2020
560 pages
Hands-On Graph Analytics with Neo4j
Estelle Scifo
Published 2020
510 pages
Mastering Machine Learning Algorithms
Giuseppe Bonaccorso
Published 2020
798 pages
Advanced Deep Learning with TensorFlow 2 and Keras
Rowel Atienza
Published 2020
512 pages
Analytics Best Practices
Prashanth H. Southekal
Published 2020
Data Analytics Applied to the Mining Industry
Ali Soofastaei
2020 · 2023 edition
254 pages
It's All Analytics!
Scott Burk, Gary D. Miner
2020 · 2022 edition
308 pages
Efficient Processing of Deep Neural Networks
Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, Joel Emer
Published 2020
342 pages
Mastering AWS CloudFormation Plan, Develop, and Deploy Your Cloud Infrastructure Effectively Using AWS CloudFormation
Karen Tovmasyan
Published 2020
300 pages
Learn Data Mining Through Excel A Step-By-Step Approach for Understanding Machine Learning Methods
Hong Zhou
Published 2020
219 pages
Introduction to Python Programming for Business and Social Science Applications
Frederick Kaefer, Paul Kaefer
Published 2020
365 pages