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Should i start with a book(if yes which one), or with a machine learning library or with a project or with complete machine learning algorithm implementation in python.
Please provide me step by step guide which i should follow (with the source links and references[if possible]) to learn machine learning in one or two months.
You might find Andrew Ng's Stanford Coursera course a good place to start. https://www.coursera.org/learn/machine-learning/home/info.
Also, rather than learning ML in 2 months (which is a very unfocussed and unattainable goal) -- try to narrow it down to some problem domain. You'd get better recommendations if you are more specific.
Machine Learning is a sub-field of computer science and an area of intense current research. It has nothing to do with Python (a programming language) except that some machine learning algorithms might be implemented in Python. You might find Andrew Ng's Stanford Coursera course a good place to start. https://www.coursera.org/learn/machine-learning/home/info .
edit: +1 to Andrew Ng's Coursera course though!
I don't think that's necessarily something one can (or ought to) expect to order up on Hacker News.
Machine Learning is a sub-field of computer science and an area of intense current research. It has nothing to do with Python (a programming language) except that some machine learning algorithms might be implemented in Python. You might find Andrew Ng's Stanford Coursera course a good place to start. https://www.coursera.org/learn/machine-learning/home/info .
ISL is an excellent, free book, introducing you to ML, you can go deeper, but, to me this is where I wish I'd started. I am taking the Data Science track at Coursera (on Practical Machine Learning now) and I am kicking myself that I didn't start with ISL instead.
Now, I know you specifically asked about Python, but the concepts are bigger than the implementation. All of these techniques are available in Python's ML stack, scikit-learn, NumPy, pandas, etc. I don't know of the equivalent of ISL for Python, but if you learn the concepts and you're a programmer of any worth, you will be able to move from R to Python. Maybe take/read ISL, but do the labs in Python, that might be a fun way to go.
Lastly, to go along with ISL, "Elements of Statistical Learning" also by Hastie et al is available for free to dive deeper [3]
[1] -- http://www-bcf.usc.edu/~gareth/ISL/
[2] -- https://lagunita.stanford.edu/courses/HumanitiesandScience/S...
http://www.amazon.com/Artificial-Intelligence-Modern-Approac...
Has plenty of examples in Python. You can also look at different Udacity courses. They have a couple dealing with ML with Python.
Peter Norvig's Artificial Intelligence: http://www.amazon.com/Artificial-Intelligence-Modern-Approac... Has plenty of examples in Python. You can also look at different Udacity courses. They have a couple dealing with ML with Python.