Plamen Parvanov Angelov, "Handbook on Computer Learning and Intelligence: Explainable Ai and Supervised Learning / Deep Learning, Intelligent Cont Ed 2"
English | ISBN: 9811245142 | 2022 | 990 pages | PDF | 90 MB
The Handbook on Computer Learning and Intelligence is a second edition which aims to be a one-stop-shop for the various aspects of the broad research area of computer learning and intelligence. This field of research evolved so much in the last five years that it necessitates this new edition of the earlier Handbook on Computational Intelligence.This two-volume handbook is divided into five parts. Volume 1 covers Explainable AI and Supervised Learning. Volume 2 covers three parts: Deep Learning, Intelligent Control, and Evolutionary Computation. The chapters detail the theory, methodology and applications of computer learning and intelligence, and are authored by some of the leading experts in the respective areas. The fifteen core chapters of the previous edition have been written and significantly refreshed by the same authors. Parts of the handbook have evolved to keep pace with the latest developments in computational intelligence in the areas that span across Machine Learning and Artificial Intelligence. The Handbook remains dedicated to applications and engineering-orientated aspects of these areas over abstract theories.Related Link(s)

Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms by Joe Papa
English | June 21, 2022 | ISBN: 149208218X | 387 pages | MOBI | 6.14 Mb
We're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception to power our push toward creating self-driving vehicles, defeating human experts at a variety of difficult games including Go, and even generating essays with shockingly coherent prose. But deciphering these breakthroughs often takes a PhD in machine learning and mathematics.

Hemachandran K Machine Learning for Business Analytics Real-Time Data 2023 | 3.25 MB
English | 191 Pages

Title: Machine Learning for Business Analytics; Real-Time Data Analysis for Decision-Making
Author: Hemachandran K.
Year: 2022

and expand your skills
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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
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Basetti V Artificial Intelligence and Machine Learning Smart City Planning 2023 | 16.26 MB
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Linkedin Learning - Cisco DevNet Associate Exam Preparation 6 Network Fundamentals
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Chelouah R Optimization and Machine Learning 2022 Fix | 12.58 MB
English | 255 Pages

Title: Optimization and Machine Learning
Author: Chelouah, Rachid;Siarry, Patrick;
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Michael Meyer, "The Road to Sleeping Dragon: Learning China from the Ground Up"
English | ISBN: 1632869357 | 2017 | 320 pages | EPUB | 7 MB
From the highly praised author of The Last Days of Old Beijing, a brilliant portrait of China today and a memoir of coming of age in a country in transition.

The Kaggle Workbook
by Konrad Banachewicz, Luca Massaron
English | 2023 | ISBN: 1804611212 | 172 pages | True PDF EPUB | 29.7 MB

Rethy K. Chhem, Kathryn M. Hibbert, Teresa van Deven, "Radiology Education: The Scholarship of Teaching and Learning"
English | 2008 | pages: 305 | ISBN: 3540689877, 364208852X | PDF | 5,3 mb
This is a book about scholarship in the broadest sense. The writing of this book has shown how through scholarship we can bring together academics, practitioners, scientists, radio logists, and administrators from around the world to begin the kinds of conversations that promise to move us to a new way of thinking about and enacting radiology education. Over the past century, we have witnessed tremendous change in biomedical science and the scope of this change has demanded new approaches to medical education. The most significant of the changes in medical education has been a fundamental paradigm shift from a teacher-centered approach to a student-centered approach. This shift, c- bined with the explosion of knowledge, has pressed medical schools to undertake major curricular and institutional reform. At the same time, progress in medical education research methods has led to innovative approaches to support the improvement of learning methods and evaluation. Over the past several years there has also been a shift toward thinking about and planning for medical education beyond the undergraduate level to include postgraduate and continuing medical education, but also to consider learning within the professional environment and the development of professional continuous education. Viewing medical education as a continuum that spans from the first year of medical school until retirement introduces new ways to conceptualize the teaching and learning needs that address lifelong learning demands that extend over 30 or 40 years.