Video Training → Power BI Essentials 2020 Introduction to Microsoft Power BI

Published by: voska89 on 16-10-2020, 17:38 | 0

Video Training → Options Trading for Rookies Understand Options Completely

Published by: voska89 on 16-10-2020, 17:34 | 0

Video Training → O'Reilly Infrastructure & Ops Superstream Series Security Edition [9/23/2020]

Published by: voska89 on 16-10-2020, 17:31 | 0

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 5 Lessons (3h 13m) | Size: 4.78 GB
About the Infrastructure & Ops Superstream Series: This four-part series of half-day online events covers the most challenging and promising topics facing those working in infrastructure and operations today: site reliability engineering, security, Kubernetes, and microservices.

Video Training → Node.js CLI Build Node.js Command-line Automation Dev-tools

Published by: voska89 on 16-10-2020, 17:30 | 0

Video Training → Nessus Malware and Vulnerability Assessment

Published by: voska89 on 16-10-2020, 17:29 | 0

Video Training → Motivation Mastery Find Motivation When Ever You want to !

Published by: voska89 on 16-10-2020, 17:27 | 0

MP4 | Video: h264, 1280x720 | Audio: AAC, 48 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 9 lectures (35 mins) | Size: 789 MB
Learn the secrets of Motivation to Crush your goals and achieve Your Dreams; Ignite Your Motivation With this Course !

Video Training → Microsoft Excel Training Learn Essential Excel Skills

Published by: voska89 on 16-10-2020, 17:26 | 0

Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 3.27 GB
Genre: eLearning Video | Duration: 63 lectures (7 hour, 24 mins) | Language: English
All Exercise Files are Included

Video Training → Meet the Expert Dean Wampler on Scaling MLAI Applications with Ray

Published by: voska89 on 16-10-2020, 17:24 | 0

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 57m | Size: 1.76 GB
Modern ML and AI applications require a lot of compute power, which usually means distribution over a cluster of machines, as well as management of distributed state, such as the model parameters being trained. Ray, a high-performance distributed execution framework developed by UC Berkeley's RISELab, is targeted at large-scale machine learning and reinforcement learning applications. Ray's features make it suitable for any Python-based application that needs cluster-wide scalability.