Udemy - Machine Learning - Data Science Product Management Made Easy

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[ DevCourseWeb.com ] Udemy - Machine Learning - Data Science Product Management Made Easy
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 01 - Introduction
    • 001 Course Introduction!.mp4 (17.1 MB)
    • 001 Course Introduction!_en.srt (2.1 KB)
    • 002 MACHINE-LEARNING-TRAINING-MODULE-SHORT-NOTES.docx (179.6 KB)
    • 002 When ML is not the best approach!.mp4 (24.1 MB)
    • 002 When ML is not the best approach!_en.srt (3.1 KB)
    • 003 Main Takeway Preview!.mp4 (54.5 MB)
    • 003 Main Takeway Preview!_en.srt (7.3 KB)
    02 - Machine Learning Basics
    • 001 Major ML Use Cases.mp4 (38.1 MB)
    • 001 Major ML Use Cases_en.srt (4.0 KB)
    • 002 Basic Premise of ML.mp4 (19.4 MB)
    • 002 Basic Premise of ML_en.srt (1.9 KB)
    • 003 Three major types of ML.mp4 (2.7 MB)
    • 003 Three major types of ML_en.srt (0.2 KB)
    • 004 Supervised Learning.mp4 (6.0 MB)
    • 004 Supervised Learning_en.srt (0.5 KB)
    • 005 Unsupervised Learning.mp4 (27.9 MB)
    • 005 Unsupervised Learning_en.srt (2.5 KB)
    • 006 Semi-supervised Learning.mp4 (4.4 MB)
    • 006 Semi-supervised Learning_en.srt (0.5 KB)
    • 007 Reinforcement Learning.mp4 (10.4 MB)
    • 007 Reinforcement Learning_en.srt (1.6 KB)
    • 008 Overfitting and Underfitting.mp4 (39.8 MB)
    • 008 Overfitting and Underfitting_en.srt (3.5 KB)
    • external-assets-links.txt (0.2 KB)
    03 - Data Science Loop
    • 001 Data Science Process.mp4 (9.1 MB)
    • 001 Data Science Process_en.srt (0.8 KB)
    • 002 Data Science Loop.mp4 (16.2 MB)
    • 002 Data Science Loop_en.srt (3.3 KB)
    • 003 Data Science Loop Specifically.mp4 (65.7 MB)
    • 003 Data Science Loop Specifically_en.srt (5.2 KB)
    • 004 Ex2 Map out the Data Science Loop for your product!.mp4 (8.4 MB)
    • 004 Ex2 Map out the Data Science Loop for your product!_en.srt (0.7 KB)
    • 005 Comparing ML and Data Analysis.mp4 (43.4 MB)
    • 005 Comparing ML and Data Analysis_en.srt (6.1 KB)
    • 006 Limitations of ML.mp4 (36.6 MB)
    • 006 Limitations of ML_en.srt (4.3 KB)
    • external-assets-links.txt (0.1 KB)
    04 - Algorithms Overview and Linear Regression Deep Dive
    • 001 Algorithms Overview.mp4 (16.4 MB)
    • 001 Algorithms Overview_en.srt (3.6 KB)
    • 002 Linear Regression Overview.mp4 (43.2 MB)
    • 002 Linear Regression Overview_en.srt (4.5 KB)
    • 003 Linear Regression Pros and Cons.mp4 (19.5 MB)
    • 003 Linear Regression Pros and Cons_en.srt (2.2 KB)
    • 004 Linear Regression Coding Notebook - Case Study in Predicting Housing Prices.mp4 (182.4 MB)
    • 004 Linear Regression Coding Notebook - Case Study in Predicting Housing Prices_en.srt (28.0 KB)
    • external-assets-links.txt (0.1 KB)
    05 - Success Metrics
    • 001 Classification success metrics.mp4 (131.0 MB)
    • 001 Classification success metrics_en.srt (19.6 KB)
    • 002 General success metrics.mp4 (33.4 MB)
    • 002 General success metrics_en.srt (2.3 KB)
    • 003 Ex3 Post success metrics for your product!.mp4 (7.8 MB)
    • 003 Ex3 Post success metrics for your product!_en.srt (1.1 KB)
    • external-assets-links.txt (0.1 KB)
    06 - Deep Learning Intro
    • 001 Introduction to deep learning (convolutional neural networks).mp4 (19.0 MB)
    • 001 Introduction to deep learning (convolutional neural networks)_en.srt (2.0 KB)
    • 002 Deep Learning Coding Notebook - Case Study in Predicting Dog and Cat Images!.mp4 (217.4 MB)
    • 002 Deep Learning Coding Notebook - Case Study in Predicting Dog and Cat Images!_en.srt (22.6 KB)
    • external-assets-links.txt (0.1 KB)
    07 - User Experience and Research Considerations for ML Products!
    • 001 UX Issues in ML.mp4 (43.3 MB)
    • 001 UX Issues in ML_en.srt (4.8 KB)
    • 002 Ex4 Post UX considerations for your ML product.mp4 (16.1 MB)
    • 002 Ex4 Post UX considerations for your ML product_en.srt (1.4 KB)
    • 003 Testing mockups of your ML product.mp4 (31.8 MB)
    • 003 Testing mockups of your ML product_en.srt (4.1 KB)
    • 004 Testing concept diagrams of your ML Product.mp4 (29.2 MB)
    • 004 Testing concept diagrams of your ML Product_en.srt (4.0 KB)
    • 005 Demographic and Psychographic Factors to Consider.mp4 (52.1 MB)
    • 005 Demographic and Psychographic Factors to Consider_en.srt (6.0 KB)
    • 006 A Research roadmap for you ML Product.mp4 (41.4 MB)
    • 006 A Research roadmap for you ML Product_en.srt (12.3 KB)
    • 007 Ex5 Post a roadmap of your ML product!.mp4 (6.8 MB)
    • 007 Ex5 Post a roadmap of your ML product!_en.srt (0.9 KB)
    • external-assets-links.txt (0.3 KB)
    08 - Key Questions to Ask and Roadmap Template for your ML Product
    • 001 ML Disclaimer Again!.mp4 (8.7 MB)
    • 001 ML Disclaimer Again!_en.srt (1.1 KB)
    • 002 Key questions to ask your team.mp4 (93.4 MB)
    • 002 Key questions to ask your team_en.srt (15.9 KB)
    • 002 UdemyRoadmapMaterials-1.5.22.pptx (1.9 MB)
    • 003 Checklist of Key Sections for you ML Product Roadmap.mp4 (23.0 MB)
    • 003 Checklist of Key Sections for you ML Product Roadmap_en.srt (2.5 KB)
    • 004 Please fill out the end of the course survey! httpsforms.glezhrCaPGY8LJrQFy2.mp4 (4.1 MB)
    • 004 Please fill out the end of the course survey! httpsforms.glezhrCaPGY8LJrQFy2_en.srt (1.1 KB)
    • 005 Thank you for attending the course!.mp4 (18.8 MB)
    • 005 Thank you for attending the course!_en.srt (3.4 KB)
    • 006 Bonus lecture - connect with us for consulting learn about free edtech apps!.mp4 (14.7 MB)
    • 006 Bonus lecture - connect with us for consulting learn about free edtech apps!_en.srt (3.9 KB)
    • external-assets-links.txt (1.0 KB)
    • Bonus Resources.txt (0.4 KB)

Description

Machine Learning / Data Science Product Management Made Easy



https://DevCourseWeb.com

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 39 lectures (2h 55m) | Size: 1.06 GB

Learn product management and UX centric concepts in machine learning and data science from animals and Python notebooks!

What you'll learn
How to product manage and roadmap your A.I. project
Basics of ML in easy doggy and kitty format :D
How best to interact and extract key information from machine learning engineers
How to research your A.I. project for usability and product / market fit
UX design practices for your A.I. project
Exposure to simple coding notebooks for deep learning and linear regression

Requirements
None - designed for non-technical people.



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Udemy - Machine Learning - Data Science Product Management Made Easy


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1.4 GB
seeders:6
leechers:15
Udemy - Machine Learning - Data Science Product Management Made Easy


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