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Free Download The Complete AI Guide: ChatGPT, Midjourney, DALL-E 2 + More
Published 3/2023
Created by Julian Melanson,Benza Maman
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 175 Lectures ( 7h 51m ) | Size: 7.1 GB

Free Download Midjourney AI: From Zero To Hero – Create Unique Images With AI
Content Source:https://www.skillshare.com/en/classes/Midjourney-AI-From-Zero-To-Hero-Create-Unique-Images-With-AI/1856770676?via=search-layout-grid
Genre / Category: Drawing & Painting , Art
File Size :747MB
With Midjourney you can show the world your creative imagination.

Free Download Use Ai To Create Youtube Videos And More...
Published 2/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 657.14 MB | Duration: 0h 33m
Unleashing Your Creativity: Using AI to Elevate Your YouTube Video Production

Free Download Demystifying ChatGPT and AI to Supercharge Your Marketing an
Published 2/2023
Created by Ken Burke
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 11 Lectures ( 50m ) | Size: 905 MB

Free Download Mastering AI Conversations: ChatGPT 2023 Masterclass
Published 2/2023
Created by Robert Young
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 20 Lectures ( 31m ) | Size: 253 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