62Y.NET

Mathematics revision for Machine Learning, IIM CAT and GMAT
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 622 MB
Genre: eLearning Video | Duration: 24 lectures (1 hour, 34 mins) | Language: English
Mathematics, Statistics, Probability, Quant for Machine Learning, IIM CAT, GMAT and other competitive exams

Learning Path: Django: Modern Web Development with Django
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 1.38 GB
Genre: eLearning Video | Duration: 135 lectures (14 hour, 44 mins) | Language: English
Complete featured guide to help you build real-world scalable, and secure web applications using the finest tools of Dja

Create Deep Learning Computer Vision Apps using Python 2020
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 1.72 GB
Genre: eLearning Video | Duration: 22 lectures (3 hour, 7 mins) | Language: English
Control Computer using Hand Gestures | Machine Learning Hand Gestures Recognition System | Image Processing Applications

English | PDF | 2020 | 124 Pages | ASIN : B07TKYBGJD | 4.46 MB

This book will guide you on your journey to deeper Machine Learning understanding by developing algorithms in Python from scratch! Learn why and when Machine learning is the right tool for the job and how to improve low performing models!

English | ISBN: 9781838988722 | 294 pages | September 2020 | EPUB | 47.19 MB

2018 | ISBN: 9783319674667 | English | 146 pages | PDF + EPUB | 5,5 + 2,2 MB

English | 2020 | ISBN-13: 978-1484262306 | 367 Pages | PDF, EPUB | 40.33 MB

English | 2019 | ASIN: B07NRVL21R | 127 Pages | PDF/EPUB/AZW3/MOBi | 21.9 MB

English | 2020 | ISBN-13 : 9781617297717 | 471 Pages | True (PDF, EPUB, MOBI) | 44.47 MB

English | PDF,EPUB (True)| 2019 | 78 Pages | ISBN : 3030105458 | 10.3 MB

This Springerbrief presents a deep reinforcement learning approach to wireless systems to improve system performance. Particularly, deep reinforcement learning approach is used in cache-enabled opportunistic interference alignment wireless networks and mobile social networks. Simulation results with different network parameters are presented to show the effectiveness of the proposed scheme.