Fusion of Machine Learning

Fusion of Machine Learning Paradigms: Theory and Applications (Intelligent Systems Reference Library, 236)

Fusion of Machine Learning Paradigms: Theory and Applications (Intelligent Systems Reference Library, 236) by Ioannis K. Hatzilygeroudis, George A. Tsihrintzis, Lakhmi C. Jain
English | February 7, 2023 | ISBN: 3031223705 | 205 pages | MOBI | 16 Mb
Fusion of Machine Learning Paradigms: Theory and Applications (Intelligent Systems Reference Library, 236)

Fusion of Machine Learning Paradigms: Theory and Applications (Intelligent Systems Reference Library, 236) by Ioannis K. Hatzilygeroudis, George A. Tsihrintzis, Lakhmi C. Jain
English | February 7, 2023 | ISBN: 3031223705 | 205 pages | MOBI | 16 Mb

Fusion of Machine Learning Paradigms: Theory and Applications  eBooks & eLearning

Posted by hill0 at Feb. 7, 2023
Fusion of Machine Learning Paradigms: Theory and Applications

Fusion of Machine Learning Paradigms: Theory and Applications
English | 2023 | ISBN: 3031223705 | 333 Pages | PDF EPUB (True) | 27 MB

Data Science Fusion: Integrating Maths, Python, and Machine Learning  eBooks & eLearning

Posted by Free butterfly at Oct. 1, 2024
Data Science Fusion: Integrating Maths, Python, and Machine Learning

Data Science Fusion: Integrating Maths, Python, and Machine Learning by Nibedita Sahu
English | August 1, 2023 | ISBN: 822368621X | 396 pages | PDF | 1.40 Mb

Data Science Fusion: Integrating Maths, Python, and Machine Learning  eBooks & eLearning

Posted by Free butterfly at Oct. 1, 2024
Data Science Fusion: Integrating Maths, Python, and Machine Learning

Data Science Fusion: Integrating Maths, Python, and Machine Learning by Nibedita Sahu
English | August 1, 2023 | ISBN: 822368621X | 396 pages | PDF | 1.40 Mb
Microservices for Machine Learning: Design, implement, and manage high-performance ML systems with microservices

Microservices for Machine Learning: Design, implement, and manage high-performance ML systems with microservices (English Edition) by Rohit Ranjan
English | April 20, 2024 | ISBN: 9355516886 | 394 pages | MOBI | 1.14 Mb
Microservices for Machine Learning: Design, implement, and manage high-performance ML systems with microservices

Microservices for Machine Learning: Design, implement, and manage high-performance ML systems with microservices (English Edition) by Rohit Ranjan
English | April 20, 2024 | ISBN: 9355516886 | 394 pages | MOBI | 1.14 Mb
Content-Based Image Classification : Efficient Machine Learning Using Robust Feature Extraction Techniques

Content-Based Image Classification :
Efficient Machine Learning Using Robust Feature Extraction Techniques

by Rik Das
English | 2021 | ISBN: 036737160X | 196 Pages | True ePUB | 8.6 MB
"Machine Learning: Advanced Techniques and Emerging Applications" ed. by Hamed Farhadi

"Machine Learning: Advanced Techniques and Emerging Applications" ed. by Hamed Farhadi
ITexLi | 2018 | ISBN: 178923753X 9781789237535 1789237521 9781789237528 1838814183 9781838814182 | 219 pages | PDF | 22 MB

This book covers recent advances of machine learning techniques in a broad range of applications in smart cities, automated industry, and emerging businesses.

Decoding the Quant Market: A Guide to Machine Learning in Trading  eBooks & eLearning

Posted by First1 at April 23, 2023
Decoding the Quant Market: A Guide to Machine Learning in Trading

Decoding the Quant Market: A Guide to Machine Learning in Trading by Gautier Marti
English | April 16th, 2023 | ISBN: B0C1J5GT4X | 282 pages | True AZW3 | 0.38 MB

In the ever-changing world of finance and trading, the search for a competitive edge has been a constant driver of innovation. Over the last few decades, the field of quantitative trading has emerged as a powerful force, pushing the boundaries of what is possible and reshaping the way we approach the market. At the heart of this transformation lies the fusion of cutting-edge technology, data-driven insights, and the unwavering curiosity of the human mind. It is this intersection of disciplines that forms the foundation for ”Decoding the Quant Market: A Guide to Machine Learning in Trading.”