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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  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  Face recognition is used for everything from automatically tagging pictures to unlocking cell phones. And with recent advancements in deep learning, the accuracy of face recognition has improved. In this course, learn how to develop a face recognition system that can detect faces in images, identify the faces, and even modify faces with "digital makeup" like you've experienced in popular mobile apps. Find out how to set up a development environment. Discover tools you can leverage for face recognition. See how a machine learning model can be trained to analyze images and identify facial landmarks. Learn the steps involved in coding facial feature detection, representing a face as a set of measurements, and encoding faces. Additionally, learn how to repurpose and adjust pre-existing systems. Duration: 1h 25m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 284 MB Level: Intermediate | Genre: eLearning | Language: English Free Download Linkedin - Deep Learning: Face Recognition  jаvascript developers can use the TensorFlow framework to create a machine learning (ML) project. This course introduces you to ML basics, and demonstrates how to set up and use TensorFlow to train a model and generate live results. Emmanuel Henri shows how to create a new project; how to work with different tensor types, variables, models, and layers; how to import a project and explore datasets; how TensorFlow executes model training; how to convert a saved model for the web; and more. Duration: 57m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 162 MB Level: Intermediate | Genre: eLearning | Language: English Free Download Learning TensorFlow with jаvascript  Learning a new parenting language that will help your anxious child Last updated 02/2023 Duration: 1h 41m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 1.39 GB Genre: eLearning | Language: English[Auto]  Learn the Basics of Jupyter Notebook, Data Manipulation, Visualization, and Collaboration in Python Environment Published 2/2023 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 1.08 GB | Duration: 1h 29m  Learn Fortinet NSE7 Version 7 SD-WAN with Step by Step Lab Workbook Last updated 2/2023 Created by Ahmad Ali MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch  Build Doctor Appointment Booking Application From Scratch using React , Firebase and ANTD Published 2/2023 Created by K.Sathyaprakash Reddy MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch  DNS configuration Published 2/2023 Created by GBENGA KESHINRO MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch  ChatGPT To Dramatically Improve Productivity + Unusual Time Mgmt. Tips. ChatGPT Work, ChatGPT Automation, ChatGPT 2023! Last updated 02/2023 Duration: 3h 19m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 3.5 GB Genre: eLearning | Language: English[Auto] |
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