Implementing Enterprise Observability for Success Strategically Plan and Implement Observability Using Real-Life Examples
Manisha Agrawal, Karun Krishnannair
Published 2023
164 pages
The most popular data science books of 2023
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 2023.
Results
Building Solutions with the Microsoft Power Platform Solving Everyday Problems in the Enterprise
Jason Rivera
Published 2023
339 pages
AI Startup Strategy A Blueprint to Building Successful Artificial Intelligence Products from Inception to Exit
Adhiguna Mahendra
Published 2023
428 pages
Critical Data Literacies Rethinking Data and Everyday Life
Neil Selwyn, Luci Pangrazio
Published 2023
216 pages
Machine Learning in Pure Mathematics and Theoretical Physics
Yang-Hui He
Published 2023
420 pages
Introduction to Python for Humanists
William Mattingly
Published 2023
340 pages
Managing IT Projects How to Pragmatically Deliver Projects for External Customers
Marcin Dąbrowski
Published 2023
211 pages
Buck's 2023 Step-By-Step Medical Coding
Elsevier
Published 2023
832 pages
Rise of the Data Lakehouse Building the Data Lakehouse
Bill Inmon, Ranjeet Srivastava
Published 2023
250 pages
Learning Airtable Building Database-Driven Applications with No-Code
ELLIOTT ADAMS
Published 2023
379 pages
MongoDB Data Modeling and Schema Design
Steve Hoberman, Pascal Desmarets, Daniel Coupal
Published 2023
356 pages
Telling Stories with Data With Applications in R
Rohan Alexander
Published 2023
598 pages
Graph Data Modeling in Python A Practical Guide to Curating, Analyzing, and Modeling Data with Graphs
Gary Hutson, Matt Jackson
Published 2023
236 pages
Learning Snowflake SQL and Scripting Generate, Retrieve, and Automate Snowflake Data
Alan Beaulieu
Published 2023
398 pages
Neuro-Symbolic AI Design Transparent and Trustworthy Systems That Understand the World As You Do
Alexiei Dingli, David Farrugia
Published 2023
196 pages
Data Engineering with Dbt A Practical Guide to Building a Cloud-Based, Pragmatic, and Dependable Data Platform with SQL
Roberto Zagni
Published 2023
578 pages
Mobile DevOps Playbook A Practical Guide for Delivering High-Quality Mobile Applications Like a Pro
Moataz Nabil
Published 2023
384 pages
SQL Query Design Patterns and Best Practices A Practical Guide to Writing Readable and Maintainable SQL Queries Using Its Design Patterns
Steve Hughes, Dennis Neer, Ram Babu Singh
Published 2023
270 pages
Next-Level Instructional Design Master the Four Competencies Shared by Professional Instructional Designers
Susan Nelson Spencer
Published 2023
124 pages
Machine Learning in Microservices Productionizing Microservices Architecture for Machine Learning Solutions
Omar Ahmed, Mohamed Abouahmed
Published 2023
270 pages
The Android Malware Handbook Detection and Analysis by Human and Machine
Qian Han, Sai Deep Tetali, Salvador Mandujano, Sebastian Porst, V.S. Subrahmanian
Published 2023
328 pages
Hands-On Computer Vision with Detectron2 Develop Object Detection and Segmentation Models with a Code and Visualization Approach
Van Vung Pham, Tommy Dang
Published 2023
318 pages
Digitalization of Financial Services in the Age of Cloud Considerations for Your Organization's Cloud Strategy
Jamil Mina, Armin Warda, Rafael Marins, Russ Miles
Published 2023
111 pages
Nanopore Sequencing Methods and Protocols
Kazuharu Arakawa
Published 2023
324 pages