Linkedin AI Fundamentals for Data Professionals gt [ FreeCourseWeb ] Torrent Download LocationsAdded 1 Year+ | ||
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| Torrent Info | |
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| Name: | Linkedin AI Fundamentals for Data Professionals gt [ FreeCourseWeb ] |
| Usenet: | Downloads Anonymously to Unlimited data Access! Get Usenet Free Trial |
| Hash: | ED25583D406A7CF8D7D8C98E5E7E87694130FECE |
| Category: | Other |
| Peers: | Seeds: 6 & Leechers: 1 |
| Size: | 197.19 MB |
| Stream: | Watch Full HD Movies @ LimeMovies |
| Date: | 1 January 2024 |
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Torrent Files Size: 197.19 MB |
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 [ FreeCourseWeb.com ] Linkedin - AI Fundamentals for Data Professionals Get Bonus Downloads Here.url - 183 bytes ~Get Your Files Here ! 01 - Introduction/01 - Introduction.mp4 - 5.77 MB  01 - Introduction/01 - Introduction.srt - 1.91 KB 02 - 1. Introduction to AI and Machine Learning/01 - AI and machine learning overview.mp4 - 13.83 MB 02 - 1. Introduction to AI and Machine Learning/01 - AI and machine learning overview.srt - 6.13 KB 02 - 1. Introduction to AI and Machine Learning/02 - Types of machine learning.mp4 - 12.28 MB 02 - 1. Introduction to AI and Machine Learning/02 - Types of machine learning.srt - 5.8 KB 02 - 1. Introduction to AI and Machine Learning/03 - Popular AI and ML tools.mp4 - 12.38 MB 02 - 1. Introduction to AI and Machine Learning/03 - Popular AI and ML tools.srt - 5.53 KB 02 - 1. Introduction to AI and Machine Learning/04 - AI applications and use cases.mp4 - 8.89 MB 02 - 1. Introduction to AI and Machine Learning/04 - AI applications and use cases.srt - 4.29 KB 03 - 2. Data and Feature Engineering/01 - Data types and sources.mp4 - 9.95 MB 03 - 2. Data and Feature Engineering/01 - Data types and sources.srt - 5.4 KB 03 - 2. Data and Feature Engineering/02 - Exploratory data analysis (EDA).mp4 - 9.07 MB 03 - 2. Data and Feature Engineering/02 - Exploratory data analysis (EDA).srt - 4.9 KB 03 - 2. Data and Feature Engineering/03 - Data preprocessing techniques.mp4 - 8.9 MB 03 - 2. Data and Feature Engineering/03 - Data preprocessing techniques.srt - 4.5 KB 03 - 2. Data and Feature Engineering/04 - Feature engineering.mp4 - 9.14 MB 03 - 2. Data and Feature Engineering/04 - Feature engineering.srt - 4.73 KB 04 - 3. High-Level Machine Learning Techniques/01 - Supervised learning overview.mp4 - 9.11 MB 04 - 3. High-Level Machine Learning Techniques/01 - Supervised learning overview.srt - 5.84 KB 04 - 3. High-Level Machine Learning Techniques/02 - Unsupervised learning overview.mp4 - 9.08 MB 04 - 3. High-Level Machine Learning Techniques/02 - Unsupervised learning overview.srt - 4.85 KB 04 - 3. High-Level Machine Learning Techniques/03 - Reinforcement learning overview.mp4 - 13.32 MB 04 - 3. High-Level Machine Learning Techniques/03 - Reinforcement learning overview.srt - 6.14 KB 04 - 3. High-Level Machine Learning Techniques/04 - Deep learning overview Part 1.mp4 - 14.34 MB 04 - 3. High-Level Machine Learning Techniques/04 - Deep learning overview Part 1.srt - 6.36 KB 04 - 3. High-Level Machine Learning Techniques/05 - Deep learning overview Part 2.mp4 - 10.92 MB 04 - 3. High-Level Machine Learning Techniques/05 - Deep learning overview Part 2.srt - 5.6 KB 05 - 4. Implementation and Future Trends/01 - Model evaluation and validation.mp4 - 8.73 MB 05 - 4. Implementation and Future Trends/01 - Model evaluation and validation.srt - 5.05 KB 05 - 4. Implementation and Future Trends/02 - AI project lifecycle.mp4 - 9.81 MB 05 - 4. Implementation and Future Trends/02 - AI project lifecycle.srt - 5.3 KB 05 - 4. Implementation and Future Trends/03 - AI ethics and bias Part 1.mp4 - 12.06 MB 05 - 4. Implementation and Future Trends/03 - AI ethics and bias Part 1.srt - 6.54 KB 05 - 4. Implementation and Future Trends/04 - AI ethics and bias Part 2.mp4 - 10.51 MB 05 - 4. Implementation and Future Trends/04 - AI ethics and bias Part 2.srt - 5.43 KB 06 - Conclusion/01 - Bring it all together.mp4 - 9 MB 06 - Conclusion/01 - Bring it all together.srt - 4.83 KB  Bonus Resources.txt - 386 bytes |
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