A power-up from reactive IT operationsUnlock the future of ITOps with no-code ML.Issued by ITR TechnologyJohannesburg, 23 Jul 2025More content from eBooksMachine learning models: A power-up from ...

With so many books on Python machine learning, making a choice is becoming increasingly difficult. You’re investing both your time and money to learn something that can open new career paths for ...

Springer Nature has retracted a book, Mastering Machine Learning: From Basics to Advanced by Govindakumar Madhavan, ...

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...

Machine Learning: A Practitioner’s Approach. The book is authored by Vinod Chandra and Anand Hareendran S. The book’s target demography is largely the aspiring computer science engineering graduates.

Also to be able to read books and papers and to understand the theory behind machine learning you will need to have some knowledge of math. In particular, the following topics would be very useful ...

Deep learning and natural language processing with Excel. Learn Data Mining Through Excel shows that Excel can even express advanced machine learning algorithms. There’s a chapter that delves ...

This is an advanced course on machine learning and data science for business. In this course, students learn how to analyze, design and develop machine learning techniques and tools for business ...