Summary
Keywords
Full Transcript
In this video, we have covered the various aspects of Machine Learning. Share your thoughts, experiences, or questions in the comments below. I love hearing from you! ============================ Do you want to learn from me? Check my affordable mentorship program at : https://learnwith.campusx.in/s/store ============================ PDF: https://drive.google.com/file/d/1N_9GqQjWSWzX4BDXUJK-q4FwuEVuEKtn/view?usp=share_link YouTube Playlist - https://www.youtube.com/playlist?list=PLKnIA16_RmvbAlyx4_rdtR66B7EHX5k3z 📱 Grow with us: CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official CampusX on Instagram for daily tips: https://www.instagram.com/campusx.official My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789 Discord: https://discord.gg/PsWu8R87Z8 E-mail us at [email protected] ⌚Time Stamps⌚ 00:00 - Intro 00:20 - Schedule 06:30 - What is Machine Learning 15:00 - History of Machine Learning 21:11 - AI vs ML vs DL 36:52 - Types of Machine Learning 01:04:12 - How are ML models trained? 01:15:30 - Online Machine Learning 01:34:30 - Instance based learning vs Model based learning 01:50:58 - Challenges in Machine Learning 02:14:08 - Machine Learning Development Life Cycle 02:38:42 - Jobs and Roles in Machine Learning 03:04:42 - Framing a Machine Learning Problem 03:25:00 - Outro
