[UdemyCourseDownloader] Machine Learning and AI Foundations Predictive Modeling Strategy at Scale

• [UdemyCourseDownloader] Machine Learning and AI Foundations Predictive Modeling Strategy at Scale
• 01 - Scaling machine learning initiatives.en.srt 2.9 KB
• 01 - Scaling machine learning initiatives.mp4 6.2 MB
• 02 - Defining terms.en.srt 3.1 KB
• 02 - Defining terms.mp4 3.5 MB
• 03 - Data and supervised machine learning.en.srt 3.6 KB
• 03 - Data and supervised machine learning.mp4 3.7 MB
• 04 - The nine big data bottlenecks.en.srt 6.4 KB
• 04 - The nine big data bottlenecks.mp4 5.9 MB
• 05 - The stages of predictive analytics data.en.srt 5.1 KB
• 05 - The stages of predictive analytics data.mp4 6.6 MB
• 06 - Why you might have too little data.en.srt 2.9 KB
• 06 - Why you might have too little data.mp4 2.8 MB
• 07 - How much data do I need.en.srt 3.7 KB
• 07 - How much data do I need.mp4 3.8 MB
• 08 - Balancing.en.srt 3.3 KB
• 08 - Balancing.mp4 3.2 MB
• 09 - Who truly has big data.en.srt 5.9 KB
• 09 - Who truly has big data.mp4 6.4 MB
• 10 - Assessing data.en.srt 5.9 KB
• 10 - Assessing data.mp4 8.9 MB
• 11 - Selecting Data that should be left out.en.srt 3.6 KB
• 11 - Selecting Data that should be left out.mp4 3.5 MB
• 12 - Seasonality and time alignment.en.srt 7 KB
• 12 - Seasonality and time alignment.mp4 6.9 MB
• 13 - Data and the data scientist.en.srt 4.7 KB
• 13 - Data and the data scientist.mp4 7.9 MB
• 14 - Aggregate and restructure.en.srt 3.4 KB
• 14 - Aggregate and restructure.mp4 3.4 MB
• 15 - Dummy coding.en.srt 3.7 KB
• 15 - Dummy coding.mp4 3.1 MB
• 16 - Feature engineering.en.srt 5 KB
• 16 - Feature engineering.mp4 4.2 MB
• 17 - Understanding the modeling process.en.srt 5.3 KB
• 17 - Understanding the modeling process.mp4 4.7 MB
• 18 - Slow algorithms Brute force.en.srt 3.2 KB
• 18 - Slow algorithms Brute force.mp4 2.9 MB
• 19 - Slow algorithms More calculations.en.srt 2.8 KB
• 19 - Slow algorithms More calculations.mp4 3 MB
• 20 - Slow algorithms More models.en.srt 4 KB
• 20 - Slow algorithms More models.mp4 3.7 MB
• 21 - How to sample properly.en.srt 4.3 KB
• 21 - How to sample properly.mp4 4.2 MB
• 22 - Modeling with missing data.en.srt 6 KB
• 22 - Modeling with missing data.mp4 8.3 MB
• 23 - Scoring traditional ML models.en.srt 5 KB
• 23 - Scoring traditional ML models.mp4 4.8 MB
• 24 - Scoring a black box model.en.srt 5.1 KB
• 24 - Scoring a black box model.mp4 8 MB
• 25 - Scoring an ensemble.en.srt 3.1 KB
• 25 - Scoring an ensemble.mp4 4.4 MB
• 26 - Batch vs. real-time scoring.en.srt 7.9 KB
• 26 - Batch vs. real-time scoring.mp4 9.5 MB
• 27 - Data prep and scoring.en.srt 5.4 KB
• 27 - Data prep and scoring.mp4 4.7 MB
• 28 - Combining batch and real-time scoring.en.srt 2.9 KB
• 28 - Combining batch and real-time scoring.mp4 3.8 MB
• 29 - What is model monitoring.en.srt 7.4 KB
• 29 - What is model monitoring.mp4 11.1 MB
• 30 - How often should you rebuild.en.srt 7 KB
• 30 - How often should you rebuild.mp4 8.9 MB
• 31 - Next steps.en.srt 1.6 KB
• 31 - Next steps.mp4 1.7 MB
• Udemy Course downloader.txt 94 B

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