Architecting Data and Machine Learning ⁢Platforms: Enable Analytics and AI-Driven Innovation‌ in the Cloud

Explore our⁤ collection sharing the knowledge of experts. ⁢O’Reilly’s mission is to change ⁣the world by sharing the knowledge of innovators. For over 40 years, we’ve inspired companies and‍ individuals to innovate and improve through essential skills and understanding. This 359-page paperback is essential for those eager to advance analytics and AI, allowing innovations that propel the‌ world forward.

SEE IT AT AMAZON

Fundamentals of Machine Learning for Predictive Data Analytics, second edition: Algorithms, Worked‌ Examples, and Case Studies

This comprehensive volume spans 856 pages and is published by The ‌MIT Press.⁣ Released on October 20, 2020,⁢ it is available in hardcover and weighs 2.31 pounds. With dimensions of 7.88 x 1.44 x 9.56 inches, it is both accessible and rich in content, underscoring its value for anyone looking to master machine learning.

SEE IT AT ⁤AMAZON

——————————————————————————————

Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R

From the‌ brand: Galit Shmueli

• Publisher: Wiley; 2nd edition ‍(March 8, 2023)
• Language: ⁢English
• Hardcover: 688 pages
• ISBN-10: 1119835178
• ISBN-13: 978-1119835172
• Item Weight: 3.6 pounds
• Dimensions: ​7.3 ‌x 1.4 x 10.3 inches

SEE IT‌ AT AMAZON

Data Mining‌ for Business Analytics: Concepts, Techniques and Applications​ in Python

From the brand: Galit Shmueli
Publisher: ⁣ Wiley;⁤ 1st‍ edition (November 5, 2019)
Language: ‍ English
Hardcover: ⁣ 608 pages
ISBN-10: 1119549841
ISBN-13: 978-1119549840
Item ⁢Weight: ‍ 2.5 pounds
Dimensions: 7.2 x 1.2 x 10.1 inches

SEE IT ‌AT AMAZON

________________________________________________________________

Becoming a Data Head: How to Think, Speak, and⁢ Understand Data Science, Statistics, and Machine Learning

This insightful guide equips readers to:

• Demystify data science concepts and terminology
• Build foundational‌ skills in statistics and machine learning
• Enhance analytical ⁢thinking in business and everyday life

Learn to confidently grasp complex data ⁢ideas and empower your professional journey with practical knowledge.

SEE IT AT AMAZON

—