Data Quality Engineering in Financial Services Applying Manufacturing Techniques to Data
Brian Buzzelli
Published 2022
174 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
Practical Deep Learning at Scale with MLflow Bridge the Gap Between Offline Experimentation and Online Production
Yong Liu, Matei Zaharia
Published 2022
288 pages
Microsoft Certified Azure Data Fundamentals (Exam DP-900) Certification Guide The Comprehensive Guide to Passing the DP-900 Exam on Your First Attempt
Marcelo Leite
Published 2022
300 pages
Mastering Financial Pattern Recognition Finding and Back-testing Candlestick Patterns with Python
Sofien Kaabar
Published 2022
288 pages
Automating Salesforce Marketing Cloud Reap All the Benefits of the SFMC Platform and Increase Your Productivity with the Help of Real-World Examples
Greg Gifford, Jason Hanshaw
Published 2022
456 pages
Pro DAX and Data Modeling in Power BI Creating the Perfect Semantic Layer to Drive Your Dashboard Analytics
Adam Aspin
Published 2022
465 pages
Big Data for Big Decisions Building a Data-driven Organization
Krishna Pera
Published 2022
250 pages
MuleSoft for Salesforce Developers A Practical Guide to Deploying MuleSoft APIs and Integrations for Salesforce Enterprise Solutions
Arul Christhuraj Alphonse, Alexandra Martinez, Akshata Sawant
2022 · 2025 edition
518 pages
Managing Kubernetes Resources Using Helm Simplifying How to Build, Package, and Distribute Applications for Kubernetes
Andrew Block, Austin Dewey, Rimantas Mocevicius “rimusz”
Published 2022
310 pages
Coding All-in-One For Dummies
Chris Minnick
Published 2022
912 pages
Rapid Application Development with OutSystems
Ricardo Pereira
Published 2022
402 pages
Finding Ghosts in Your Data
Kevin Feasel
Published 2022
469 pages
Graph Data Processing with Cypher A Practical Guide to Building Graph Traversal Queries Using the Cypher Syntax on Neo4j
Ravindranatha Anthapu
Published 2022
332 pages
The Handbook of Data Science and AI Generate Value from Data with Machine Learning and Data Analytics
Katherine Munro, Danko Nikolić, Stefan Papp, Zoltan Toth, Annalisa Cadonna
Published 2022
573 pages
Patterns, Predictions, and Actions Foundations of Machine Learning
Moritz Hardt, Benjamin Recht
Published 2022
320 pages
Circuits, Packets, and Protocols Entrepreneurs and Computer Communications, 1968-1988
Andrew L. Russell, James L. Pelkey, Loring G. Robbins
Published 2022
632 pages
Smart Proxy Modeling Artificial Intelligence and Machine Learning in Numerical Simulation
Shahab D. Mohaghegh
Published 2022
190 pages
TensorFlow in Action
Thushan Ganegedara
Published 2022
680 pages
Designing Data Spaces The Ecosystem Approach to Competitive Advantage
Stefan Wrobel, Boris Otto, Michael ten Hompel
Published 2022
580 pages
Digitizing Talent Creative Strategies for the Digital Recruiting Age
Jessica Miller-Merrell
2022 · 2023 edition
310 pages
The Theory and Practice of Enterprise AI Recipes and Reference Implementations for Marketing, Supply Chain, and Production Operations
Ilya Katsov
Published 2022
576 pages
Elegant Design A Designer’s Guide to Harnessing Aesthetics
Luca Iandoli, Giuseppe Zollo
Published 2022
200 pages
Machine Learning on Kubernetes A Practical Handbook for Building and Using a Complete Open Source Machine Learning Platform on Kubernetes
Ross Brigoli, Faisal Masood
Published 2022
384 pages
SQL Pocket Primer
Oswald Campesato
Published 2022
292 pages