Social Media Marketing 2020 4 BOOKS IN 1 - Social Media for Beginners, Instagram Marketing to Become an Influencer, Facebook Advertising, Google AdWords (Analytics, SEO and ADS for Your Business)
Jeremy Preace
Published 2020
788 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
Why AI/Data Science Projects Fail
Joyce Weiner
2020 · 2025 edition
71 pages
JK's Quick Start Guide to Amazon Ads Marketing
J. K. Lincoln
Published 2020
66 pages
Learn Azure Administration Solve Your Cloud Administration Issues Relating to Networking, Storage, and Identity Management Speedily and Efficiently
Kamil Mrzygłód
Published 2020
452 pages
SAP Interactive Forms by Adobe
Timo Ortiz
2020 · 2022 edition
724 pages
Machine Learning For Beginners A Comprehensive Guide To Understand Machine Learning. How It Works And How Is Correlated To Artificial Intelligence And Deep Learning
Chris Neil
Published 2020
188 pages
Virtual Reality Recent Advancements, Applications and Challenges
Lila Bozgeyikli, Ren Bozgeyikli
2020 · 2022 edition
235 pages
Data Literacy Fundamentals Understanding the Power & Value of Data
Ben Jones
2020 · 2025 edition
308 pages
Data Mining and Data Warehouse
Robert Method Karamagi
Published 2020
820 pages
People Skills for Analytical Thinkers
Gilbert Eijkelenboom
Published 2020
166 pages
Big Deal Notebook
Wild Pages Press
Published 2020
100 pages
Machine Learning
Samuel Hack
Published 2020
220 pages
Uninterrupted Knowledge Creation
Kaj U. Koskinen, Reiner Breite
Published 2020
120 pages
Predictive Analytics in Human Resource Management
Shivinder Nijjer, Sahil Raj
Published 2020
260 pages
Advancement of Machine Intelligence in Interactive Medical Image Analysis
Om Prakash Verma, Sudipta Roy, Subhash Chandra Pandey, Mamta Mittal
Published 2020
329 pages
Contemporary Experimental Design, Multivariate Analysis and Data Mining Festschrift in Honour of Professor Kai-Tai Fang
Jianqing Fan, Jianxin Pan
Published 2020
386 pages
Maintaining the Competitive Advantage in Artificial Intelligence and Machine Learning
Rand Waltzman, Lillian Ablon, Christian Curriden, Gavin S. Hartnett, Maynard A. Holliday
Published 2020
54 pages
Machine Learning and Data Science Blueprints for Finance From Building Trading Strategies to Robo-advisors Using Python
Hariom Tatsat, Sahil Puri, Brad Lookabaugh
Published 2020
409 pages
Digital Finance Big Data, Start-ups, and the Future of Financial Services
Perry H. Beaumont
Published 2020
191 pages
Advances in Neural Signal Processing
Ramana Vinjamuri
Published 2020
142 pages
Data Engineering with Python Work with Massive Datasets to Design Data Models and Automate Data Pipelines Using Python
Paul Crickard
Published 2020
356 pages
Data Sketches
Nadieh Bremer, Shirley Wu
Published 2020
300 pages
Data Science for Mathematicians
NATHAN. CARTER
Published 2020
542 pages
Telling Your Data Story Data Storytelling for Data Management
Scott Taylor
Published 2020
196 pages