📚Access a visual overview of machine learning on r2d3.
💻Learn coding and Jupyter notebook on Open Tech School.
🔬Start with Kaggle's introduction to machine learning course.
🌐Advance to Google's machine learning course.
📝Explore TensorFlow tutorials and run them in Google Colab.
Where can I learn coding and Jupyter notebook?
—You can learn coding and Jupyter notebook for free on Open Tech School.
What are some recommended machine learning courses?
—You can start with Kaggle's introduction to machine learning course and then move on to Google's machine learning course.
Where can I learn math for machine learning?
—You can watch Professor Robert Grist's comprehensive math tutorials on YouTube. If you prefer books, you can use 'Mathematics for Machine Learning' or explore online resources.
Are there any resources on probability and statistics?
—You can visit a superb website for a gentle introduction to probability and statistics. Additionally, 'Statistics Done Wrong' by Alex Reinhardt provides insights on common statistical mistakes.
Where can I find support and help on my machine learning journey?
—You can join the friendly communities on Stack Exchange and ask questions on the Cross-Validated Stack and the Data Science tag.
00:00Access a visual overview of machine learning on r2d3.
00:03Learn coding and Jupyter notebook on Open Tech School.
00:10Start with Kaggle's introduction to machine learning course.
00:15Advance to Google's machine learning course.
00:18Explore TensorFlow tutorials and run them in Google Colab.
01:09Watch Professor Robert Grist's comprehensive math tutorials on YouTube.
01:21Use 'Mathematics for Machine Learning' for in-depth math study.
01:42Visit a superb website for a gentle introduction to probability and statistics.
