ICAgile Agile Fundamentals Certification - Study Notes

July 3, 2025 by kenn in Ebooks - Leave a comment

Free Download ICAgile Agile Certification - Study Notes: 500 Study Notes for Agile Fundamentals Certification Success by Steve Brown
English | 11, | ISBN: N/A | ASIN: B0DQ9C9FCR | 110 pages | | 1.07 Mb
Prepare for your ICAgile Agile Fundamentals Certification with efficiency and ease using this concise and study guide. "ICAgile Agile Fundamentals Certification - Study Notes" distills the vast information of Agile methodologies into the most elements you need to pass the exam. This book is your ultimate time-saving , designed to streamline your study process without compromising on the depth of knowledge required for success.
Read more

Fundamentals of Software Architecture A Modern Engineering Approach

July 3, 2025 by kenn in Ebooks - Leave a comment

Free Download of Software : A Modern Engineering Approach by Mark Richards, Neal Ford
English | April 22, 2025 | ISBN: 1098175514 | 543 pages | | 21 Mb
Salary surveys worldwide regularly place software architect in the top 10 best jobs, yet no real guide exists to help developers become architects. Until now. This updated edition provides a overview of software architecture's many , with five new chapters covering the latest insights from the . Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming architecture, , , AI, team topologies, and many other topics.
Read more

Fundamentals of Machine Learning a Simplified Approach

July 3, 2025 by kenn in Ebooks - Leave a comment

Free Download of Machine Learning: a Simplified Approach
English | 2025 | ISBN: 9789364183444 | 312 pages | (True) | 1.57 MB
This book aims to serve as a introduction to the principles, algorithms, and applications of machine learning, with a particular emphasis on both foundational and cutting-edge techniques. It is designed for students, researchers, and practitioners who wish to deepen their understanding of machine learning , explore their applications, and grasp the underlying frameworks.
Read more