Sparks - Editable Text Effect - 12784604
AI EPS | 64 Mb
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Team management skills for leading Hybrid, Remote / Virtual teams
Published 2/2023
Created by John Hinchliffe
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
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The Complete Java Course. Learn Java From Scratch and Go From Beginner To Advanced In Java.
Duration: 54m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 303 MB
Genre: eLearning | Language: English[Auto]
Free Download The Java Course - Learn From Scratch
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The Most Powerful Communication Mechanism For Agile Product Creation
Published 2/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 7.55 GB | Duration: 9h 16m
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Pipeline Stress Analysis course following ASME B31.8/ASME B31.4 using Caesar II
Published 2/2023
Created by Anup Kumar Dey
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
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Geometrical, Wave, Physical, Quantum & Modern Optics: Famous Experiments, Effects, Applications & Mathematical Models
Published 2/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.07 GB | Duration: 17h 22m
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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
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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
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YT Downloader 7.22.5
File size: 47.67 MB
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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
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