{"id":21743525,"url":"https://github.com/heyvaldemar/machine-learning-deep-learning-courses","last_synced_at":"2025-03-21T01:33:01.871Z","repository":{"id":237442178,"uuid":"755203262","full_name":"heyvaldemar/machine-learning-deep-learning-courses","owner":"heyvaldemar","description":"Machine Learning and Deep Learning Courses on YouTube","archived":false,"fork":false,"pushed_at":"2025-01-17T16:44:12.000Z","size":10,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-25T22:20:41.251Z","etag":null,"topics":["computer-vision","computer-vision-ai","computer-vision-algorithms","computer-vision-datasets","computer-vision-tools","deep-learning","deep-learning-algorithms","deep-learning-framework","deep-learning-tutorial","machine-learning","machine-learning-algorithms","machine-learning-api","machine-learning-coursera","machine-learning-interview","machine-learning-library","machine-learning-models","machine-learning-practice","machine-learning-projects","machine-learning-tutorials","ml"],"latest_commit_sha":null,"homepage":"https://www.heyvaldemar.com","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/heyvaldemar.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":".github/FUNDING.yml","license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null},"funding":{"github":"heyvaldemar","patreon":"heyvaldemar","ko_fi":"heyvaldemar","custom":["paypal.com/paypalme/heyValdemarCOM","buymeacoffee.com/heyValdemar","ko-fi.com/heyValdemar"]}},"created_at":"2024-02-09T16:34:31.000Z","updated_at":"2025-01-17T16:44:14.000Z","dependencies_parsed_at":"2024-05-01T22:37:41.551Z","dependency_job_id":null,"html_url":"https://github.com/heyvaldemar/machine-learning-deep-learning-courses","commit_stats":null,"previous_names":["heyvaldemar/machine-learning-deep-learning-courses"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/heyvaldemar%2Fmachine-learning-deep-learning-courses","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/heyvaldemar%2Fmachine-learning-deep-learning-courses/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/heyvaldemar%2Fmachine-learning-deep-learning-courses/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/heyvaldemar%2Fmachine-learning-deep-learning-courses/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/heyvaldemar","download_url":"https://codeload.github.com/heyvaldemar/machine-learning-deep-learning-courses/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244721720,"owners_count":20499004,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["computer-vision","computer-vision-ai","computer-vision-algorithms","computer-vision-datasets","computer-vision-tools","deep-learning","deep-learning-algorithms","deep-learning-framework","deep-learning-tutorial","machine-learning","machine-learning-algorithms","machine-learning-api","machine-learning-coursera","machine-learning-interview","machine-learning-library","machine-learning-models","machine-learning-practice","machine-learning-projects","machine-learning-tutorials","ml"],"created_at":"2024-11-26T07:08:20.733Z","updated_at":"2025-03-21T01:33:01.850Z","avatar_url":"https://github.com/heyvaldemar.png","language":null,"funding_links":["https://github.com/sponsors/heyvaldemar","https://patreon.com/heyvaldemar","https://ko-fi.com/heyvaldemar","paypal.com/paypalme/heyValdemarCOM","buymeacoffee.com/heyValdemar","ko-fi.com/heyValdemar","https://www.patreon.com/heyvaldemar","https://www.paypal.com/paypalme/heyvaldemarCOM","https://www.buymeacoffee.com/heyvaldemar"],"categories":[],"sub_categories":[],"readme":"# Machine Learning and Deep Learning Courses on YouTube\n\nExplore a curated selection of YouTube courses designed to deepen your understanding of machine learning and deep learning, ranging from foundational concepts to specialized applications in various fields.\n\n## Foundational Machine Learning Courses\n\n1. Explore the basics of machine learning with the [Introduction to Machine Learning (Tübingen)](https://www.youtube.com/playlist?list=PL05umP7R6ij35ShKLDqccJSDntugY4FQT), offering insights into regression, classification, and more.\n2. Dive into [Statistical Machine Learning (Tübingen)](https://www.youtube.com/playlist?list=PL05umP7R6ij2XCvrRzLokX6EoHWaGA2cC) to understand algorithms and paradigms in statistical learning.\n3. Grasp the fundamentals with [Machine Learning Lecture (Stefan Harmeling)](https://www.youtube.com/playlist?list=PLzrCXlf6ypbxS5OYOY3EN_0u2fDuIT6Gt), covering key concepts from Bayes' rule to Gaussian Processes.\n4. The [Caltech CS156: Learning from Data](https://www.youtube.com/playlist?list=PLD63A284B7615313A) course provides a comprehensive introduction, from the learning problem to support vector machines.\n5. For practical application, [Applied Machine Learning](https://www.youtube.com/playlist?list=PL2UML_KCiC0UlY7iCQDSiGDMovaupqc83) teaches widely used techniques including optimization and regularization.\n\n## Deep Learning Exploration\n\n1. Begin your deep learning journey with [Introduction to Deep Learning (MIT)](https://www.youtube.com/playlist?list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI), a fundamental course for beginners.\n2. The [Deep Learning: CS 182](https://www.youtube.com/playlist?list=PL_iWQOsE6TfVmKkQHucjPAoRtIJYt8a5A) course covers techniques from error analysis to imitation learning.\n3. [Neural Networks: Zero to Hero](https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ) by Andrej Karpathy provides an in-depth look into neural networks.\n4. Discover the intersection of creativity and AI with [MIT: Deep Learning for Art, Aesthetics, and Creativity](https://www.youtube.com/playlist?list=PLCpMvp7ftsnIbNwRnQJbDNRqO6qiN3EyH).\n5. Engage with [Deep Unsupervised Learning](https://www.youtube.com/playlist?list=PLwRJQ4m4UJjPiJP3691u-qWwPGVKzSlNP) to learn about latent variable models and self-supervised learning techniques.\n\n## Specialized Courses in Machine Learning\n\n1. For healthcare applications, [MIT 6.S897: Machine Learning for Healthcare (2019)](https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyCTDU1Q5j) introduces ML in clinical contexts.\n2. The [Machine Learning with Graphs (Stanford)](https://www.youtube.com/playlist?list=PLoROMvodv4rPLKxIpqhjhPgdQy7imNkDn) course delves into techniques like PageRank and graph neural networks.\n3. In the realm of NLP, [CS224N: Natural Language Processing with Deep Learning](https://www.youtube.com/playlist?list=PLoROMvodv4rOSH4v6133s9LFPRHjEmbmJ) offers a comprehensive exploration of deep learning-based NLP.\n\n## Practical and Real-World Applications\n\n1. Learn about building applications with large language models through [LLMOps: Building Real-World Applications With Large Language Models](https://www.comet.com/site/llm-course/).\n2. [Full Stack Deep Learning](https://www.youtube.com/playlist?list=PL1T8fO7ArWlcWg04OgNiJy91PywMKT2lv) teaches how to bring deep learning models into production, covering everything from infrastructure to web deployment.\n\n## Exploring Computer Vision and Reinforcement Learning\n\n1. Stanford's [CS231N: Convolutional Neural Networks for Visual Recognition](https://www.youtube.com/playlist?list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv) is a landmark course for those interested in computer vision.\n2. Delve into the dynamics of decision-making systems with [Reinforcement Learning (Polytechnique Montreal, Fall 2021)](https://www.youtube.com/playlist?list=PLImtCgowF_ES_JdF_UcM60EXTcGZg67Ua), covering everything from multi-armed bandits to Monte Carlo methods.\n\nThis selection of YouTube courses offers a comprehensive pathway for learners at various stages of their machine learning and deep learning journey, from foundational knowledge to advanced applications and real-world problem-solving.\n\n## Author\n\nhey everyone,\n\n💾 I’ve been in the IT game for over 20 years, cutting my teeth with some big names like [IBM](https://www.linkedin.com/in/heyvaldemar/), [Thales](https://www.linkedin.com/in/heyvaldemar/), and [Amazon](https://www.linkedin.com/in/heyvaldemar/). These days, I wear the hat of a DevOps Consultant and Team Lead, but what really gets me going is Docker and container technology - I’m kind of obsessed!\n\n💛 I have my own IT [blog](https://www.heyvaldemar.com/), where I’ve built a [community](https://discord.gg/AJQGCCBcqf) of DevOps enthusiasts who share my love for all things Docker, containers, and IT technologies in general. And to make sure everyone can jump on this awesome DevOps train, I write super detailed guides (seriously, they’re foolproof!) that help even newbies deploy and manage complex IT solutions.\n\n🚀 My dream is to empower every single person in the DevOps community to squeeze every last drop of potential out of Docker and container tech.\n\n🐳 As a [Docker Captain](https://www.docker.com/captains/vladimir-mikhalev/), I’m stoked to share my knowledge, experiences, and a good dose of passion for the tech. My aim is to encourage learning, innovation, and growth, and to inspire the next generation of IT whizz-kids to push Docker and container tech to its limits.\n\nLet’s do this together!\n\n## My 2D Portfolio\n\n🕹️ Click into [sre.gg](https://www.sre.gg/) — my virtual space is a 2D pixel-art portfolio inviting you to interact with elements that encapsulate the milestones of my DevOps career.\n\n## My Courses\n\n🎓 Dive into my [comprehensive IT courses](https://www.heyvaldemar.com/courses/) designed for enthusiasts and professionals alike. Whether you're looking to master Docker, conquer Kubernetes, or advance your DevOps skills, my courses provide a structured pathway to enhancing your technical prowess.\n\n🔑 [Each course](https://www.udemy.com/user/heyvaldemar/) is built from the ground up with real-world scenarios in mind, ensuring that you gain practical knowledge and hands-on experience. From beginners to seasoned professionals, there's something here for everyone to elevate their IT skills.\n\n## My Services\n\n💼 Take a look at my [service catalog](https://www.heyvaldemar.com/services/) and find out how we can make your technological life better. Whether it's increasing the efficiency of your IT infrastructure, advancing your career, or expanding your technological horizons — I'm here to help you achieve your goals. From DevOps transformations to building gaming computers — let's make your technology unparalleled!\n\n## Patreon Exclusives\n\n🏆 Join my [Patreon](https://www.patreon.com/heyvaldemar) and dive deep into the world of Docker and DevOps with exclusive content tailored for IT enthusiasts and professionals. As your experienced guide, I offer a range of membership tiers designed to suit everyone from newbies to IT experts.\n\n## My Recommendations\n\n📕 Check out my collection of [essential DevOps books](https://kit.co/heyvaldemar/essential-devops-books)\\\n🖥️ Check out my [studio streaming and recording kit](https://kit.co/heyvaldemar/my-studio-streaming-and-recording-kit)\\\n📡 Check out my [streaming starter kit](https://kit.co/heyvaldemar/streaming-starter-kit)\n\n## Follow Me\n\n🎬 [YouTube](https://www.youtube.com/channel/UCf85kQ0u1sYTTTyKVpxrlyQ?sub_confirmation=1)\\\n🐦 [X / Twitter](https://twitter.com/heyvaldemar)\\\n🎨 [Instagram](https://www.instagram.com/heyvaldemar/)\\\n🐘 [Mastodon](https://mastodon.social/@heyvaldemar)\\\n🧵 [Threads](https://www.threads.net/@heyvaldemar)\\\n🎸 [Facebook](https://www.facebook.com/heyvaldemarFB/)\\\n🧊 [Bluesky](https://bsky.app/profile/heyvaldemar.bsky.social)\\\n🎥 [TikTok](https://www.tiktok.com/@heyvaldemar)\\\n💻 [LinkedIn](https://www.linkedin.com/in/heyvaldemar/)\\\n📣 [daily.dev Squad](https://app.daily.dev/squads/devopscompass)\\\n🧩 [LeetCode](https://leetcode.com/u/heyvaldemar/)\\\n🐈 [GitHub](https://github.com/heyvaldemar)\n\n## Community of IT Experts\n\n👾 [Discord](https://discord.gg/AJQGCCBcqf)\n\n## Refill My Coffee Supplies\n\n💖 [PayPal](https://www.paypal.com/paypalme/heyvaldemarCOM)\\\n🏆 [Patreon](https://www.patreon.com/heyvaldemar)\\\n💎 [GitHub](https://github.com/sponsors/heyvaldemar)\\\n🥤 [BuyMeaCoffee](https://www.buymeacoffee.com/heyvaldemar)\\\n🍪 [Ko-fi](https://ko-fi.com/heyvaldemar)\n\n🌟 **Bitcoin (BTC):** bc1q2fq0k2lvdythdrj4ep20metjwnjuf7wccpckxc\\\n🔹 **Ethereum (ETH):** 0x76C936F9366Fad39769CA5285b0Af1d975adacB8\\\n🪙 **Binance Coin (BNB):** bnb1xnn6gg63lr2dgufngfr0lkq39kz8qltjt2v2g6\\\n💠 **Litecoin (LTC):** LMGrhx8Jsx73h1pWY9FE8GB46nBytjvz8g\n\n\u003cdiv align=\"center\"\u003e\n\n### Show some 💜 by starring some of the [repositories](https://github.com/heyValdemar?tab=repositories)!\n\n![octocat](https://user-images.githubusercontent.com/10498744/210113490-e2fad07f-4488-4da8-a656-b9abbdd8cb26.gif)\n\n\u003c/div\u003e\n\n![footer](https://user-images.githubusercontent.com/10498744/210157572-1fca0242-8af2-46a6-bfa3-666ffd40ebde.svg)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fheyvaldemar%2Fmachine-learning-deep-learning-courses","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fheyvaldemar%2Fmachine-learning-deep-learning-courses","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fheyvaldemar%2Fmachine-learning-deep-learning-courses/lists"}