The world of machine learning is vast and ever-growing. There are a ton of resources out there to help you learn about this fascinating subject. YouTube is a great place to start, and there are tons of great channels that can introduce you to the basics of machine learning.
If you’re looking to get started in machine learning, or even if you’re already experienced, there are some great YouTube channels out there that can help you learn. Here are LIST of 10 of the best:
- Google Developers – This channel features videos from Google’s own developers on a variety of topics, including machine learning.
- Siraj Raval – Siraj Raval is a popular YouTuber in the tech world, and his channel covers everything from artificial intelligence to programming tutorials.
- Two-Minute Papers – As the name suggests, this channel focuses on concise, informative videos about cutting-edge research in various fields, including machine learning.
- Neural Network TV – This channel offers a more visual approach to machine learning, with 3D animations and infographics explaining complex concepts.
- Data School – Data School is run by Kevin Markham, and it’s all about data science and Python programming tutorials. If you’re just getting started with machine learning, his Introduction to Machine Learning course is a great place to start. And if you’re already familiar with some machine learning concepts but want to learn more about how to use Python for data science, Kevin’s your guy! If you want to learn more about data science and machine learning specifically, Data School is a great resource. They offer both free and paid courses.
- Andrew Ng’s Machine Learning Course – If you’re looking for a more traditional educational approach, Andrew Ng’s Coursera course is one of the best out there and is available on YouTube.
- 3Blue1Brown This channel is run by Grant Sanderson, and it’s all about visualizing math concepts.
- Machine Learning With Phil
If you’re looking to get started with machine learning, there’s no better person to learn from than Phil. Machine learning is a branch of artificial intelligence that deals with the creation of algorithms that can learn from data and improve their performance over time.
Machine learning has been used in a variety of fields such as image recognition, speech recognition, and predictive analytics. Phil has been working in the field of machine learning for over 10 years. He has a PhD in computer science from Stanford University and he’s currently a research scientist at Google.
Whether you’re just getting started with machine learning or you’re already familiar with the basics, Phil is the perfect person to learn from. His clear explanations and code examples will help you quickly master this powerful technology.
10. Andrej Karpathy: Andrej Karpathy is a legendary AI researcher, engineer, and educator. He’s the former director of AI at Tesla, a founding member of OpenAI, and an educator at Stanford.
Does Youtube Have Machine Learning?
Yes, YouTube has machine learning. Machine learning is a process of teaching computers to learn from data. YouTube uses machine learning algorithms to improve the quality of its videos and recommendations.
Which Youtube Channel is Best for Learning Data Science?
There are a lot of great channels out there for learning data science, but it really depends on your specific needs and interests. If you’re looking for a comprehensive channel that covers all the basics of data science, then I would recommend Data School.
However, if you’re interested in more specialized topics within data science, then I would recommend subscribing to channels like PythonProgramming.net or R-Bloggers.
Whichever channel you choose, make sure to watch multiple videos from different instructors to get a well-rounded education in data science!
What is the Most Popular Machine Learning?
There are a few ways to answer this question, but the most common machine-learning algorithm is probably the support vector machine (SVM). SVMs are a type of supervised learning algorithm that can be used for both classification and regression tasks. The main advantage of SVMs is that they can be effective with relatively small datasets.
What are the 7 Stages of Machine Learning?
There are 7 stages of machine learning: data preprocessing, feature engineering, model selection, training, validation, testing, and deployment.
1. Data Preprocessing: This stage involves cleaning and preparing the data for modeling. This step is important because it can make or break the success of a machine-learning model.
Inadequate data preprocessing can lead to inaccurate results and poor performance.
2. Feature Engineering: This stage involves creating features from the data that will be used in modeling. Features are mathematical representations of the raw data that can be used by algorithms to learn and make predictions.
Good feature engineering can improve the accuracy of machine learning models significantly.
3. Model Selection: This stage involves choosing the right algorithm or combination of algorithms for the task at hand. There is no single best algorithm for all tasks, so it is important to experiment with different models before settling on one final choice.
4. Training: This stage involves fitting the chosen model to the training data. The goal here is to find the set of parameters that results in the best performance on the training set while avoiding overfitting.
Best Youtube Channel for Artificial Intelligence
There are a lot of great YouTube channels out there that focus on artificial intelligence. However, finding the best one for you can be tough. That’s why we’ve done the work for you and compiled a list of the best AI YouTube channels around.
Whether you’re looking to learn more about AI or just want to keep up with the latest news and developments, this website is sure to have something for you. So check them out and bookmark to your favorites today!
Best Youtube Channel for Data Science And Machine Learning
If you’re looking for the best Youtube channel for data science and machine learning, look no further than Data School. With over 200,000 subscribers, Data School is one of the most popular data science channels on YouTube. The channel is run by Kevin Markham, a data scientist and software engineer who has been working with data for over 10 years.
Data School covers a wide range of topics related to data science and machine learning, from beginner tips to more advanced techniques. Whether you’re just getting started with data science or you’re already an experienced practitioner, you’ll find something of interest on Data School. And if you’re not sure where to start, check out Kevin’s top 10 videos for getting started in data science.
Conclusion
We tried to cover biggest names in machine learning, as well as tutorial series of their machine learning tasks. We hope you guys found helpfull!
