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Curriculum for the course AI Foundations Course – Python, Machine Learning, Deep Learning, Data Science Learn about machine learning and AI with this comprehensive 11-hour course from @LunarTech_ai. This is not just a crash course. This course covers everything from fundamental concepts to advanced algorithms, complete with real-world case studies in recommender systems and predictive analytics. This course goes beyond theory to provide hands-on implementation experience, career guidance, and great insights from industry professionals. It also includes a career guide on how to build a data science career, launch a startup, and prepare for interviews. ⭐️ Contents ⭐️ ⌨️ (00:00:00) Introduction ⌨️ (00:00:02) Machine Learning Roadmap for 2024 ⌨️ (00:49:53) ML Basics (Supervised vs. Unsupervised, Regression vs. Classification) ⌨️ (01:05:10) Machine Learning Bias-Variance Trade-off ⌨️ (01:12:22) Machine Learning Overfitting Regularization ⌨️ (01:41:11) Machine Learning Linear Regression

Curriculum for the course Contributing To Open Source – Beginner's Guide This course covers everything you need to contribute meaningfully to existing open-source software projects. This course is taught by James Pearce (https://github.com/jamesgpearce). He is the former Head of Open Source at Meta, the company that invented React, Hack, and PyTorch, along with 100s of other popular projects. After 10+ years at Facebook (Meta), James became an expert instructor at joinTaro.com and created his own open source project, TinyBase: https://github.com/tinyplex/tinybase. Watch the interview with James here: https://youtu.be/D3WGcLyFvaY. Slides can be found here: https://www.jointaro.com/course/become-an-open-source-master/ Watch other courses from Taro at https://www.joinTaro.com/courses/ ⭐️ Contents ⭐️ ⌨️ (0:00:00) Course Introduction ⌨️ (0:05:42) Instructor + Outcomes ⌨️ (0:09:46) What is Open Source? ⌨️ (0:14:10) Projects, Repos, Issues, Pull Requests ⌨️ (0:19:06) The Benefits

Curriculum for the course Open Source is Wild – The craziest things The Changelog has seen in 15 years [Podcast #148] On this week's episode of the podcast, freeCodeCamp founder Quincy Larson interviews Adam Stachoviac and Jerod Santo co-hosts of The Changelog – the longest-running software podcast in world. They interview devs about Open Source projects, and they also have a weekly news episode that I always listen to. 5 years ago, I interviewed them for their 10th anniversary episode, and now I'm back catching up on what they've been doing for the past 5 years. We talk about: - How open source is changing - Open data and open LLM models - Self-reliance and self-hosted infrastructure - The business of running a developer community Can you guess what song I'm playing in the intro? Also, I want to thank the 10,993 kind people who support our charity each month, and who make this podcast possible. You can join them and support our mission at: https://www.freecodeca