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 figuring out where to start. With the increasing availability of free resources, we end up spending a lot of time figuring out the best resources to hone our skills. We have compiled a list of the top youtube channels for machine-learning that offers valuable insights, tips, and tutorials.
Sentdex
If you’re looking for a friendly guide to navigate the complex landscape of machine learning, Sentdex is your go-to companion. With an uncanny ability to demystify intricate concepts, Sentdex’s YouTube channel, created by Harrison Kinsley is a treasure trove for learners of all levels. From beginners taking their first steps into the world of Python programming to seasoned data scientists tackling advanced neural networks, Sentdex’s tutorials offer a supportive hand at every stage.
Kaggle
Kaggle is one of the most renowned platforms for data scientists and machine learning practitioners to polish their skills. This youtube channel not only covers various tutorials for beginners and intermediate-level audiences but also features interviews with industry gurus. They also share winning solutions of the Kaggle competitions that help the audience to learn from the experts.
3Blue1Brown
As the saying goes, a picture is worth a thousand words. 3Blue1Brown takes this to heart by using captivating visualizations to explain complex mathematical and machine-learning concepts. Dive into linear algebra, calculus, and neural networks with an artistic twist that transforms abstract theories into tangible insights.
StatQuest with Josh Starmer
This channel provides educational content on statistics, data science, and machine learning. He breaks down the major methodologies and concepts into easy-to-understand pieces. This channel also focuses on the mathematical underpinnings of the famous machine-learning algorithms which can help the viewers get a more intuitive understanding of how these algorithms work and how to apply them effectively to real-world problems.
Data School
Kevin Markham is a data science educator and the founder of dataschool.io. This channel provides in-depth tutorials, webinars, and resources to help individuals build the skills they need to succeed in their professional careers. His channels are famous for clear, concise, and step-by-step explanations of complex concepts.
Jeremy Howard
He is a data scientist who has an educational background in philosophy but later out of the curiosity he harnessed himself with the knowledge of stats and programming to build the most effective and easy-to-use library for deep learning tasks fastai. Making deep learning models was never that easy before fast.ai came into the picture. If you are someone who wants to build deep learning models that complete the task in the field of computer vision like image segmentation, image classification, image restoration with the minimal coding, and maximum results then the fast.ai is suitable for you.
YouTube is an excellent learning resource to learn machine learning (and almost any technical topic). But there’s the caveat of passively consuming content—watching one tutorial after another—without learning effectively. It is only when you do things you actually learn and understand. So when you’re working through video tutorials, remember to set up these youtube channels for machine learning.
