& AI
This is a Notes to learn Machine Learning and Artificial Intelligence.
- Programming Language to learn AI ML then Python is always recommended.
- Why - Easy to Learn
- There are some packages like TensorFlow, Scikit learn, Keras, etc which are very useful and also PyTorch libraries which helps you a lot.
- Learn NumPy and Pandas basics. It is very Crucial in AI ML.
- For NumPy basics read NumPy Quick Start guides. Don’t go so much deep just learn basics and ND Array.
- Now you should learn Pandas so much that at least you know how to manipulate a data in a CSV File.
- After that you should know tha Statistics and also Linear Algebra also. Also you should know what is Probability.
- Refer the book Probability and Statistics in Engineering by William W. Hines.
- After all this Learn Linear Regression, Gradient Descent, Learn all algorithm of Supervised Learning and Unsupervised Learning (A Book named Mining of Massive Datasets by Jure Leskovec Refer this).
- Learn Clustering and implement the algorithm using Scikit Learn (A Book named Hands on Machine Learning with Scikit Learn, Keras and TensorFlow by Aurelien Geron also a Book named Python For Data Analysis: Data Wrangling with Pandas, NumPy and Jupyter by Wes McKinney)
So, Basically follow the Below Path to Learn the All About Machine Learning and Artificial Intelligence
- Learn PYTHON
- After that Learn DATA SCIENCE
- After these things come to SCIKIT LEARN and TENSORFLOW.
- Create Lot of PROJECTS with the help of What you have Learned.