Deep Learning: The Big Picture

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Foundations of Deep Learning (Machine Learning: Foundations, Methodologies, and Applications)  eBooks & eLearning

Posted by Free butterfly at Sept. 11, 2025
Foundations of Deep Learning (Machine Learning: Foundations, Methodologies, and Applications)

Foundations of Deep Learning (Machine Learning: Foundations, Methodologies, and Applications) by Fengxiang He, Dacheng Tao
English | February 2, 2025 | ISBN: 9811682321 | 306 pages | MOBI | 43 Mb
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Deep Learning With Python Illustrated Guide For Beginners And Intermediates  eBooks & eLearning

Posted by readerXXI at Nov. 4, 2021
Deep Learning With Python Illustrated Guide For Beginners And Intermediates

Deep Learning With Python Illustrated Guide For Beginners And Intermediates :
The Future Is Here!
by William Sullivan
English | 2018 | ISBN: 1729388159 | 198 Pages | PDF/ePub | 3.76 MB
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Big Data and Machine Learning in Quantitative Investment  eBooks & eLearning

Posted by roxul at Dec. 13, 2018
Big Data and Machine Learning in Quantitative Investment

Tony Guida, "Big Data and Machine Learning in Quantitative Investment"
English | ISBN: 1119522196 | 2019 | 296 pages | PDF | 8 MB
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Deep Learning with Real World Projects  eBooks & eLearning

Posted by naag at July 18, 2019
Deep Learning with Real World Projects

Deep Learning with Real World Projects
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 20 Hours 49M | 7.66 GB
Genre: eLearning | Language: English
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Big Data and Machine Learning in Quantitative Investment  eBooks & eLearning

Posted by naag at Oct. 26, 2024
Big Data and Machine Learning in Quantitative Investment

Big Data and Machine Learning in Quantitative Investment
English | 2018 | ISBN: B07LC5RGK4 | Pages: 296 | EPUB (True) | 4.87 MB
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Big Data and Machine Learning in Quantitative Investment (Wiley Finance)  eBooks & eLearning

Posted by First1 at Jan. 21, 2019
Big Data and Machine Learning in Quantitative Investment (Wiley Finance)

Big Data and Machine Learning in Quantitative Investment (Wiley Finance) by Tony Guida
English | December 22nd, 2018 | ISBN: 1119522196 | 296 pages | EPUB | 10.67 MB

Get to know the ‘why’ and ‘how’ of machine learning and big data in quantitative investment
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Big Data and Machine Learning in Quantitative Investment  eBooks & eLearning

Posted by igor_lv at Jan. 23, 2019
Big Data and Machine Learning in Quantitative Investment

Big Data and Machine Learning in Quantitative Investment by Tony Guida
English | 2018 | ASIN: B07LC5RGK4, ISBN: 1119522196 | AZW3 | 296 pages | 15 Mb
Investments & Securities
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Udemy - Deep Learning Prerequisites: Logistic Regression in Python (Updated)  eBooks & eLearning

Posted by ParRus at April 29, 2020
Udemy - Deep Learning Prerequisites: Logistic Regression in Python (Updated)

Udemy - Deep Learning Prerequisites: Logistic Regression in Python
WEBRip | English | MP4 | 1280 x 720 | AVC ~78 kbps | 10 fps
AAC | 192 Kbps | 48.0 KHz | 2 channels | Subs: English (.srt) | ~6 hours | 1.25 GB
Genre: eLearning Video / Development, Data Science, Deep Learning

Data science techniques for professionals and students - learn the theory behind logistic regression and code in Python
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Generative AI - From Big Picture, To Idea, To Implementation  eBooks & eLearning

Posted by naag at Nov. 29, 2024
Generative AI - From Big Picture, To Idea, To Implementation

Generative AI - From Big Picture, To Idea, To Implementation
English | 2024 | ISBN: B0CYWW1FYN | Pages: 318 | EPUB (True) | 597.51 KB
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Guide to Deep Learning Basics: Logical, Historical and Philosophical Perspectives (Repost)  eBooks & eLearning

Posted by AvaxGenius at Feb. 3, 2020
Guide to Deep Learning Basics: Logical, Historical and Philosophical Perspectives (Repost)

Guide to Deep Learning Basics: Logical, Historical and Philosophical Perspectives by Sandro Skansi
English | PDF | 2020 | 144 Pages | ISBN : 3030375900 | 2.5 MB

This stimulating text/reference presents a philosophical exploration of the conceptual foundations of deep learning, presenting enlightening perspectives that encompass such diverse disciplines as computer science, mathematics, logic, psychology, and cognitive science. The text also highlights select topics from the fascinating history of this exciting field, including the pioneering work of Rudolf Carnap, Warren McCulloch, Walter Pitts, Bulcsú László, and Geoffrey Hinton.
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