Free Download vSphere 7 Foundations 1 - Configure and Manage vSphere and ESXi 7
Released 3/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 1h 55m | Size: 333 MB
VMware vSphere is everywhere. Non-virtualized data centers are a thing of the past, and in order to stay relevant you must understand vSphere. This series of courses with VMware Certified Instructor Rick Crisci is ideal for anyone who wants to learn vSphere, including absolute beginners. In this first course, Rick focuses on configuration and installation of vSphere 7. Rick starts out with an introduction to virtualization, covering the basics of what a virtual machine is, and the ESXi hosts that the virtual machines run on. He then explains the roles of the vCenter and the Platform Services Controller, before moving onto a series of demos, showing you how to install ESXi 7 using the interactive installation, deploy the vCenter Server Appliance, add ESXi hosts to vCenter inventory, and more. Whether you're looking to pass the vSphere 7 Foundations Exam, or an administrator wanting to learn more about vSphere 7, this course can help you get started.

Free Download Machine Learning and AI Foundations: Value Estimations
Duration: 1h 4m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 155 MB
Level: Beginner + Intermediate | Genre: eLearning | Language: English
Value estimation—one of the most common types of machine learning algorithms—can automatically estimate values by looking at related information. For example, a website can determine how much a house is worth based on the property's location and characteristics. In this project-based course, discover how to use machine learning to build a value estimation system that can deduce the value of a home. Follow Adam Geitgey as he walks through how to use sample data to build a machine learning model, and then use that model in your own programs. Although the project featured in this course focuses on real estate, you can use the same approach to solve any kind of value estimation problem with machine learning.
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Free Download Foundations Of An Empowered And Authentic Relationship
Published 3/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.47 GB | Duration: 4h 10m
Create Deep Connection - where you are cherished, loved and respected for ALL of who YOU are

Free Download DevOps Foundations: Value Stream Management
Released 3/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 1h 19m | Size: 181 MB
Built on the lean manufacturing principles that revolutionized productivity in manufacturing in the latter half of the 20th century, value stream management brings lean thinking to software development. Value stream management helps businesses plan, organize, and optimize their activities to create the most value for their customers. In this course, technology strategist Peter Maddison guides you through value stream management in the context of DevOps. Learn how lean, agile, DevOps, and ITSM principles contribute to value stream management. Find out how to identify value streams and how they interconnect. Explore using mapping techniques to show value streams visually, and how models and methods, like Cynefin and Theory of Constraints, can be used to help you determine how and where to improve. Plus, learn how your DevOps toolchains can be used to extract the data needed to power value stream management.

Free Download Customer Service Foundations (2023)
Released 2/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Beginner | Genre: eLearning | Language: English + srt | Duration: 1h 11m | Size: 877 MB
Do your customers feel valued? When they do, they keep coming back. When they don't, your business suffers. In this course, customer service expert Jeff Toister teaches you the three crucial skill sets needed to deliver outstanding customer service and increase customer loyalty. Learn how to build winning relationships, provide the right assistance at the right times, and effectively handle angry customers. He also shares ways to find out what your customers really think about your service, and use their feedback to improve.

Linkedin Learning - Cisco Networking Foundations IP Addressing
English | Tutorial | Size: 224.51 MB

Many data science specialists are looking to pivot toward focusing on machine learning. This course covers the essentials of machine learning, including predictive analytics and working with decision trees. Explore several popular tree algorithms and learn how to use reverse engineering to identify specific variables. Demonstrations of using the IBM SPSS Modeler are included so you can understand how decisions trees work. This course is designed to give you a solid foundation on which to build more advanced data science skills.
Duration: 1h 16m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 191 MB
Level: Intermediate | Genre: eLearning | Language: English
Free Download Machine Learning and AI Foundations: Decision Trees with SPSS

Unsupervised learning is a type of machine learning where algorithms parse unlabeled data. The focus is not on sorting data into known categories but uncovering hidden patterns. Unsupervised learning plays a big role in modern marketing segmentation, fraud detection, and market basket analysis. This course shows how to use leading machine-learning techniques—cluster analysis, anomaly detection, and association rules—to get accurate, meaningful results from big data.
Instructor Keith McCormick reviews the most common clustering algorithms: hierarchical, k-means, BIRCH, and self-organizing maps (SOM). He uses the same algorithms for anomaly detection, with additional specialized functions available in IBM SPSS Modeler. He closes the course with a review of association rules and sequence detection, and also provides some resources for learning more.
All exercises are demonstrated in IBM SPSS Modeler and IBM SPSS Statistics, but the emphasis is on concepts, not the mechanics of the software.
Duration: 3h 22m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 532 MB

Having a solid understanding of linear regression—a method of modeling the relationship between one dependent variable and one to several other variables—can help you solve a multitude of real-world problems. Applications areas involve predicting virtually any numeric value including housing values, customer spend, and stock prices. This course reveals the concepts behind the most important linear regression techniques and how to use them effectively. Throughout the course, instructor Keith McCormick uses IBM SPSS Statistics as he walks through each concept, so some exposure to that software is assumed. But the emphasis will be on understanding the concepts and not the mechanics of the software. SPSS users will have the added benefit of being exposed to virtually every regression feature in SPSS.
Instructor Keith McCormick covers simple linear regression, explaining how to build effective scatter plots and calculate and interpret regression coefficients. He also dives into the challenges and assumptions of multiple regression and steps through three distinct regression strategies. To wrap up, he discusses some alternatives to regression, including regression trees and time series forecasting.
Duration: 3h 57m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 627 MB
Level: Intermediate | Genre: eLearning | Language: English

Learn how to amplify the best parts of you.
Last updated 9/2021
Created by Vinh Giang
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch