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Machine learning is a rapidly growing field with immense potential to revolutionize various industries. Learning machine learning can be complicated, and we often need help understanding where to start. As free resources become available, you’ll spend a lot of time finding the best ones to hone your skills. With this in mind, we’ve compiled a list of the top 15 machine learning channels that provide valuable insights, tips, and tutorials.
Whether you’re a beginner looking to get the basics right or a professional looking to deepen your knowledge and stay on top of the latest trends, these channels offer a wealth of information from the world’s top minds and biggest brands. information. Community/community.
Here is the list of the top 15 YouTube channels for learning machine learning in 2023.
1. Sendex
Subscribers: 1.2M, Videos: 1,234, Views: 107M, Link: Sentdex
The channel’s owner, Harrison Kinsley, creates a wide range of programming tutorials on machine learning, Python, finance, data analytics, robotics, and more. These tutorials are intended for beginner to intermediate programmers. If you want to learn machine learning from scratch, this channel is a very good starting point to start your ML journey.
2. Deep learning AI
Subscribers: 195,000 Videos: 326 Views: 13 million Links: DeepLearningAI
DeepLearningAI was founded by Andrew Ng, a prominent AI researcher who founded Google Brain. His Deep at Coursera His learning expertise has a huge following around the world. The channel offers a variety of educational content, including video lectures and tutorials, interviews with subject matter experts, and live Q&A sessions. It also provides viewers with the latest trends in the fields of machine learning and deep learning.
3. Artificial intelligence — all-in-one
Subscribers: 155,000 Videos: 525 Views: 17 million Links: Artificial Intelligence – All in One
This is a comprehensive resource that provides a one-stop-shop for all things artificial intelligence. It includes tutorials, videos, and other resources about the fundamentals of AI, machine learning, deep learning, computer vision, natural language processing, and more. Content is designed to be accessible to individuals from a wide range of backgrounds and skill levels, from novices to experts.
4. Paper for 2 minutes
Subscribers: 1.4M, Videos: 753, Views: 1.15M, Links: Two Minute Papers
This is a great channel hosted by Konrad Kording that provides an overview of the latest research papers in the form of short videos. This video describes the research’s main findings, contributions, and implications. This channel is especially useful for practitioners, researchers, or anyone who wants to stay up to date on the latest developments.
5. Kaggle
Subscribers: 120,000, Videos: 349, Views: 3M, Link: Kaggle
Kaggle is one of the most popular platforms for data scientists and machine learning practitioners to hone their skills. This YouTube channel not only covers a variety of tutorials for beginner and intermediate audiences, but also features interviews with industry leaders. We also share Kaggle contest winning solutions that help viewers learn from the experts.
6. Siraj Raval
Subscribers: 722K, Videos: 446, Views: 46M, Link: Siraj Raval
Siraj Raval is a well-known figure in the field of machine learning. On his YouTube channel he covers topics related to machine learning, deep learning, his vision of computers, natural processing languages, and more. His fun and engaging approach to teaching makes his content unique and easy to understand.
7. Jeremy Howard
Subscribers: 71.3K, Videos: 163, Views: 6M, Link: Jeremy Howard
Jeremy Howard is the co-founder of fast.ai and is well known for his contributions to the field of deep learning. His channel aims to make AI accessible to everyone regardless of background. Therefore, his video lectures are easy to understand and easy to follow.
8. Applied AI Course
Subscribers: 82.8K, Videos: 519, Views: 13M, Link: Applied AI Course
As the name suggests, this channel focuses on practical knowledge rather than theoretical rigor. It teaches the core ideas of machine learning and engages in real-world case studies that enable individuals to address real-world business problems and build AI solutions.
9. Krish Naik
Subscribers: 711K, Videos: 1610, Views: 69M, Link: Krish Naik
Krish Naik is the co-founder of iNeuron and a sought-after educator with over a decade of industry experience. He discusses various topics in machine learning, deep learning, and AI with many real-world problem scenarios. His main goal is to make everyone familiar with ML and AI.
10. StatQuest with Josh Sturmer
Subscribers: 868K, Videos: 237, Views: 44M, Link: StatQuest with Josh Starmer
This channel offers educational content about statistics, data science, and machine learning. He breaks down key methodologies and concepts into easy-to-understand pieces. The channel also focuses on the mathematical underpinnings of well-known machine learning algorithms, giving viewers a more intuitive understanding of how these algorithms work and how they can be effectively applied to real-world problems. help you understand it.
11. Daniel Burke
Subscribers: 139K, Videos: 296, Views: 6M, Links: Daniel Bourke
Daniel Bourke is an instructor for one of Udemy’s best-selling courses, PyTorch: Zero to Mastery for Deep Learning in 2023. He is a self-taught machine learning engineer who has worked in a wide range of industries. Daniel takes you step by step from absolute beginner to master in the field of machine learning.
12. Data School
Subscribers: 211,000 Videos: 139 Views: 10 million Links: Data School
Kevin Markham is a data science educator and founder of dataschool.io. This channel offers in-depth tutorials, webinars, and resources to help individuals build the skills they need to succeed in their professional careers. His channel is famous for his clear and concise step-by-step explanation of complex concepts.
13. 3 blue 1 brown
Subscribers: 4.93 million, Videos: 127, Views: 3.18 million, Links: 3Blue1Brown
This channel by Grant Sanderson is known for explaining complex math and machine learning concepts through engaging and intuitive animations. The channel is aimed at a wider audience and he is considered one of the best channels for math, data science and ML.
14. Jeff Heaton
Subscribers: 73.2K, Videos: 534, Views: 5.6M, Links: Jeff Heaton
Jeff Heaton is the author of one of several popular books you can find here. He uses real-world examples to illustrate complex concepts. He teaches concepts related to machine learning, deep learning, AI, and more. This is a great primer for beginners before diving deeper.
15. Machine Learning Street Talk
Subscribers: 41.3 K, Videos: 97, Views: 1.8 M, Link: Machine Learning Street Talk
This channel is maintained by Tim Scarf. Keith Duggar and Yannick Kilcher make regular cameos. This channel covers the latest developments in the AI and ML space. We provide high-quality content and invite leading thinkers in the AI space to cover current AI issues with in-depth analysis.
In conclusion, we’ve put together a great list of top YouTube channels for learning. However, it’s important to remember that practice is just as important as theory. We encourage our readers to not only watch the videos and learn from these channels, but also put that knowledge into practice by building projects and experimenting with different techniques. Also, let us know in the comments section what you found helpful in your machine learning efforts and what other YouTube channels you recommend.
Kanwal Mereen An aspiring software developer with a strong interest in AI applications in data science and medicine. Kanwal has been named his Google Generation Scholar 2022 for the APAC region. Kanwal loves writing articles and sharing technical knowledge on her trending topics and she is passionate about improving female representation in the tech industry.
