(2) What needs to be applied in data analysis also needs to be mastered, but it is not something that helps you do data analysis from scratch on the Internet, but something related to data mining or data science, such as knowing how to mine data in a computer and related data mining tools.
Only by supplementing the above basic knowledge of mathematics and data mining can we formally learn the principle of machine learning algorithm.
③ The algorithm needs to master some basic frameworks: python, spark, mllib, scikit-learning, pytorch, TensorFlow, and the data needs to know HQL, numpy and Panda. If you are background development, app development, data analysis and project management, it is a plus item for learning algorithms.
Finally, we need to have a global understanding of artificial intelligence, including two modules of machine learning and deep learning, the mastery, derivation and application of related algorithm principles, and the most important algorithm ideas.
You can also directly watch the free open class of artificial intelligence in the rookie nest. Chris, their Ali algorithm expert, said the above, and you can keep it private if necessary. Or you can just search the rookie's lair, official website.