To me, Machine Learning is a great deal of rising demand and popularity of growing industries. Machine learning is tapping in all field of industries like healthcare, retail, manufacturing, transportation, finance and more.

I’m glad to invite machine learning. It’s never easy to get a start with machine learning. In addition to structured resources, there is also a vast number of incredible, free resources available around the web. Here I have listed resources:

1. Start with some cool tutorials on Youtube. Read a couple of books and blog articles. For example, have you read Automate the Boring Stuff with Python by Al Sweigart, best book for Python programming language.
2. Learn the first differentiate subfield of artificial intelligence. For example, what is machine learning, data science, deep learning, natural language processing, computer vision, robotics? how they differentiate?
3. Set your goals precisely for what do you require to learn. And then, go and take a free course on Coursera course or edx.
4. Learn Mathematics for machine learning. Because maths must be known for analyzing datasets, model a problem and error handlings. You can learn Mathematics chapters like linear algebra, calculus, probability, statistics and integrals. The best resource is Khan Academy.
5. **Follow excellent blogs **— Towards Data Science, KDnuggets, Machine learning mastery, Analytics India Magazine and The Startup.
6. Join forums or communities for clarifying doubt and chances to interact with masters. list of communities is LinkedIn, Reddit-Machine learning, Kaggle and Hackernoon.

#data-science #programming #artificial-intelligence #python #machine-learning