Before Machine Learning Volume

Before Machine Learning Volume 1 - Linear Algebra: The Fundamental Mathematics for Data Science and Artificial Intelligence

Before Machine Learning Volume 1 - Linear Algebra: The Fundamental Mathematics for Data Science and Artificial Intelligence by Jorge Brasil
English | May 18, 2023 | ISBN: 9798393173104 | True PDF | 151 pages | 4.8 MB
Before Machine Learning Volume 1 - Linear Algebra: The Fundamental Mathematics for Data Science and Artificial Intelligence

Before Machine Learning Volume 1 - Linear Algebra: The Fundamental Mathematics for Data Science and Artificial Intelligence by Jorge Brasil
English | May 18, 2023 | ISBN: 9798393173104 | True PDF | 151 pages | 4.8 MB

Before Machine Learning Volume 1 - Linear Algebra for A.I  eBooks & eLearning

Posted by hill0 at May 28, 2024
Before Machine Learning Volume 1 - Linear Algebra for A.I

Before Machine Learning Volume 1 - Linear Algebra for A.I:
The fundamental mathematics for Data Science and Artificial Inteligence

English | 2023 | ASIN : B0BZWN26WJ | 164 Pages | EPUB | 5 MB

Before Machine Learning, Volume 1: Linear Algebra for A.I  eBooks & eLearning

Posted by readerXXI at March 12, 2024
Before Machine Learning, Volume 1: Linear Algebra for A.I

Before Machine Learning, Volume 1: Linear Algebra for A.I: The fundamental mathematics for Data Science and Artificial Inteligence
by Jorge Brasil
English | 2023 | ASIN: B0C5P5888Z | 151 Pages | PDF | 2.04 MB

Before Machine Learning, Volume 2 - Calculus for A.I  eBooks & eLearning

Posted by readerXXI at March 12, 2024
Before Machine Learning, Volume 2 - Calculus for A.I

Before Machine Learning, Volume 2 - Calculus for A.I: The fundamental mathematics for Data Science and Artificial Intelligence
by Jorge Brasil
English | 2023 | ASIN: B0CPXWRSDZ | 314 Pages | PDF | 4.82 MB

Before Machine Learning Volume 1 - Linear Algebra for A.I  eBooks & eLearning

Posted by hill0 at May 28, 2024
Before Machine Learning Volume 1 - Linear Algebra for A.I

Before Machine Learning Volume 1 - Linear Algebra for A.I:
The fundamental mathematics for Data Science and Artificial Inteligence

English | 2023 | ASIN : B0BZWN26WJ | 164 Pages | EPUB | 5 MB
Before Machine Learning Volume 3 - Probability and Statistics for A.I: The fundamental mathematics for Data Science

Machine Learning for Business: A Simple Guide to Data Driven Technologies using Machine Learning and Deep Learning
by George Pain

English | 2024 | ISBN: 9798338609415 | 385 pages | True PDF | 17.92 MB

Hands-On Quantum Machine Learning With Python: Volume 1: Get Started  eBooks & eLearning

Posted by yoyoloit at July 10, 2021
Hands-On Quantum Machine Learning With Python: Volume 1: Get Started

Hands-On Quantum Machine Learning With Python: Volume 1: Get Started
by Frank Zickert

English | 2021 | ISBN: NA | 435 Pages | PDF | 5.2 MB

Improving Classifier Generalization: Real-Time Machine Learning based Applications  eBooks & eLearning

Posted by AvaxGenius at Oct. 3, 2022
Improving Classifier Generalization: Real-Time Machine Learning based Applications

Improving Classifier Generalization: Real-Time Machine Learning based Applications by Rahul Kumar Sevakula, Nishchal K. Verma
English | EPUB (True) | 2022 (2023 Edition) | 181 Pages | ISBN : 9811950725 | 19.9 MB

This book elaborately discusses techniques commonly used to improve generalization performance in classification approaches. The contents highlight methods to improve classification performance in numerous case studies: ranging from datasets of UCI repository to predictive maintenance problems and cancer classification problems.
"Artificial Intelligence in Medicine and Surgery - Volume 2" ed. by Stanislaw P. Stawicki, Andries Engelbrecht

"Artificial Intelligence in Medicine and Surgery - An Exploration of Current Trends, Potential Opportunities, and Evolving Threats - Volume 2" ed. by Stanislaw P. Stawicki, Andries Engelbrecht
ITexLi | 2024 | ISBN: 0850140706 9780850140705 0850140692 9780850140699 0850140714 9780850140712 | 199 pages | PDF | 9 MB

This book discusses both current trends and future developments in AI/ML across healthcare, with a focus on the transformational impact of this emerging technological domain on enhancing the access, accuracy, education, equity, quality, safety, and value of modern care delivery.