AI Fundamentals Explained! Machine Learning Full Course | Stanford Online (CS229)- Andrew Ng (Pt 2)

Andrew Ng’s renowned Machine Learning University Course continues to gain significance as the profound impact of machine learning becomes increasingly evident in modern applications. What sets this course apart is Ng’s ability to break down complex concepts with clarity and precision, enabling learners to grasp fundamental ideas intuitively. His structured and insightful teaching approach makes advanced topics accessible, ensuring both depth and clarity in learning. Recognizing the course’s enduring value, we have made this material available to provide broader access to this exceptional educational resource. We extend our sincere gratitude to Andrew Ng and the Stanford School of Engineering for their remarkable contribution to the field. This marks the second installment of a distinguished three-part series, meticulously curated to offer a rigorous and structured learning experience. We invite you to support Andrew Ng and the Stanford School of Engineering by exploring the links below. Part 1 - https://www.youtube.com/watch?v=sSGygYqnp10 Part 2 - https://www.youtube.com/watch?v=W8wSJna_QRk Part 3 - https://www.youtube.com/watch?v=vE3UEh8U-n4 Andrew Ng - https://www.andrewng.org/ Support Stanford School of Engineering: https://engineering.stanford.edu/get-involved/support-engineering Coursera - http://coursera.org/ Deeplearning.ai - http://deeplearning.ai/ Timestamps 00:00:00 - Introduction to Machine Learning University Course - Part 2 00:00:25 - Lesson 8: Support Vector Machines, Kernels, Soft margin, SMO algorithm 01:17:41 - Lesson 9: Learning Theory, Bias/variance trade-off, Empirical risk minimization, Uniform convergence 02:32:00 - Lesson 10: Learning Theory, VC Dimension, Bias/variance trade-off 03:44:55 - Lesson 11: Bayesian statistics and regularization, How to apply ML algorithms in real-world 05:07:13 - Lesson 12: Unsupervised Learning, Clustering (k-means), Mixture of gaussians, Jensen's inequality 06:21:34 - Lesson 13: EM Algorithm, Mixture of gaussians, Mixture of naive-bayes model, Factor analysis 07:36:33 - Lesson 14: Factor analysis, EM steps, Principal component analysis (PCA) Apply to AI Engineering Bootcamp Here: https://www.lunartech.ai/bootcamp/ai-engineering-bootcamp Powered by: https://lunartech.ai/ Business Inquiries Email: [email protected] Email: [email protected] Offerings AI Engineering Bootcamp: https://www.lunartech.ai/bootcamp/ai-engineering-bootcamp Data Science Bootcamp: https://www.lunartech.ai/bootcamp/data-science-bootcamp LunarTech Academy: https://academy.lunartech.ai/courses Phoenix AI Assistants:https://phoenix.lunartech.ai/ Lens: https://lens.lunartech.ai/ Free Resources: Six Figure Data Science eBook: https://downloads.tatevaslanyan.com/six-figure-data-science-ebook How to Land Your Dream Data Science Internship: https://join.lunartech.ai/data-science-internship--4e6b5 Mastering Data Science and Analytics Handbook: https://join.lunartech.ai/comprehensive-data-science-guide The Complete Data Science Roadmap [2024]: https://join.lunartech.ai/complete-datascience-roadmap Machine Learning Fundamentals Handbook: https://join.lunartech.ai/machine-learning-fundamentals About LunarTech LunarTech: https://lunartech.ai/ Co-Founder Tatev Aslanyan: https://www.linkedin.com/in/tatev-karen-aslanyan Co-Founder Vahe Aslanyan: https://nl.linkedin.com/in/vahe-aslanyan About LunarTech: https://www.lunartech.ai/why-choose-us Success Stories: https://www.lunartech.ai/success-stories Enterprise Solutions: https://www.lunartech.ai/enterprises Government Solutions: https://www.lunartech.ai/enterprises/government-solutions Corporate Training: https://www.lunartech.ai/enterprises/enterprises-corporate-training Open Source: https://www.lunartech.ai/open-source Our Gear Apple 2024 Macbook Air https://amzn.to/3DMyMJE Apple Watch Series 10 https://amzn.to/41X1vFR Apple iPhone 16 Pro Max https://amzn.to/49WIQMr Samsung Galaxy S24 Ultra https://amzn.to/3W1R7ZF Prime: https://amzn.to/4gZl1FN Beats Studio Pro https://amzn.to/3ZUKMQZ DJI Mic 2 https://amzn.to/3DzgaNt Starship: https://amzn.to/3ZQDspe Blue Yeti https://amzn.to/40gg99W Shure SM7B Microphone https://amzn.to/3ZQragM SAMSUNG 49" Odyssey NEO https://amzn.to/4fDumCf Shure Over-Ear Wired Headphones https://amzn.to/3BHhXiW Logitech MX Keys https://amzn.to/4a4jjRl Logitech MX Mouse https://amzn.to/3BRwisX NEEWER 660 LED Video Light https://amzn.to/4gsypCF' Partner with LunarTech Partnership Application: https://forms.fillout.com/t/rwxPjUc84ius Course Creator Application: https://forms.fillout.com/t/hGiuTPa7zGus Writer Application: https://forms.fillout.com/t/gUXPfas5fvus Podcast Application: https://forms.fillout.com/t/2rcTkYHQHYus ____________ LIKE.SHARE.SUBSCRIBE. Give this video a thumbs up if you enjoyed watching 👍 #machinelearning #ai #course Thanks for watching the video AI Fundamentals Explained! Machine Learning Full Course | Stanford Online (CS229)- Andrew Ng (Pt 2)