https://github.com/heyvaldemar/machine-learning-deep-learning-courses
Machine Learning and Deep Learning Courses on YouTube
https://github.com/heyvaldemar/machine-learning-deep-learning-courses
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
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Machine Learning and Deep Learning Courses on YouTube
- Host: GitHub
- URL: https://github.com/heyvaldemar/machine-learning-deep-learning-courses
- Owner: heyvaldemar
- Created: 2024-02-09T16:34:31.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2025-01-17T16:44:12.000Z (about 1 year ago)
- Last Synced: 2025-01-25T22:20:41.251Z (about 1 year ago)
- 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
- Homepage: https://www.heyvaldemar.com
- Size: 9.77 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
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README
# Machine Learning and Deep Learning Courses on YouTube
Explore 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.
## Foundational Machine Learning Courses
1. 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.
2. Dive into [Statistical Machine Learning (Tübingen)](https://www.youtube.com/playlist?list=PL05umP7R6ij2XCvrRzLokX6EoHWaGA2cC) to understand algorithms and paradigms in statistical learning.
3. 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.
4. 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.
5. For practical application, [Applied Machine Learning](https://www.youtube.com/playlist?list=PL2UML_KCiC0UlY7iCQDSiGDMovaupqc83) teaches widely used techniques including optimization and regularization.
## Deep Learning Exploration
1. 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.
2. The [Deep Learning: CS 182](https://www.youtube.com/playlist?list=PL_iWQOsE6TfVmKkQHucjPAoRtIJYt8a5A) course covers techniques from error analysis to imitation learning.
3. [Neural Networks: Zero to Hero](https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ) by Andrej Karpathy provides an in-depth look into neural networks.
4. Discover the intersection of creativity and AI with [MIT: Deep Learning for Art, Aesthetics, and Creativity](https://www.youtube.com/playlist?list=PLCpMvp7ftsnIbNwRnQJbDNRqO6qiN3EyH).
5. Engage with [Deep Unsupervised Learning](https://www.youtube.com/playlist?list=PLwRJQ4m4UJjPiJP3691u-qWwPGVKzSlNP) to learn about latent variable models and self-supervised learning techniques.
## Specialized Courses in Machine Learning
1. For healthcare applications, [MIT 6.S897: Machine Learning for Healthcare (2019)](https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyCTDU1Q5j) introduces ML in clinical contexts.
2. The [Machine Learning with Graphs (Stanford)](https://www.youtube.com/playlist?list=PLoROMvodv4rPLKxIpqhjhPgdQy7imNkDn) course delves into techniques like PageRank and graph neural networks.
3. 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.
## Practical and Real-World Applications
1. 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/).
2. [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.
## Exploring Computer Vision and Reinforcement Learning
1. 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.
2. 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.
This 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.
## Author
hey everyone,
💾 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!
💛 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.
🚀 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.
🐳 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.
Let’s do this together!
## My 2D Portfolio
🕹️ 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.
## My Courses
🎓 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.
🔑 [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.
## My Services
💼 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!
## Patreon Exclusives
🏆 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.
## My Recommendations
📕 Check out my collection of [essential DevOps books](https://kit.co/heyvaldemar/essential-devops-books)\
🖥️ Check out my [studio streaming and recording kit](https://kit.co/heyvaldemar/my-studio-streaming-and-recording-kit)\
📡 Check out my [streaming starter kit](https://kit.co/heyvaldemar/streaming-starter-kit)
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## Community of IT Experts
👾 [Discord](https://discord.gg/AJQGCCBcqf)
## Refill My Coffee Supplies
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