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	Podcast:		Talk Python To Me - Python conversations for passionate developers
	Episode:		#131 Top 10 machine learning libraries
	Category:		Technology
	Duration:		00:53:30
	Publish Date:		2017-09-26 03:00:00
	Description:		Data science has been one of the major driving forces behind the explosion of Python in recent years. It's now used for AI research, controls some of the most powerful telescopes in the world, tracks crop growth and prediction and so much more. But with all this growth, there is an explosion of data science and machine learning libraries. That's why I invited Pete Garcin onto the show. He's going to share his top 10 machine learning libraries. After this episode, you should be able to pick the right one for the job. Links from the show: Pete on Twitter: @rawktron Pete on GitHub: github.com/rawktron ActivePython: activestate.com/activepython NeuroBlast AI Game: github.com/ActiveState/neuroblast The 10 Machine Learning Libraries Numpy/Scipy: numpy.org Scikit-Learn: scikit-learn.org Keras: keras.io TensorFlow: tensorflow.org Theano: deeplearning.net/software/theano Pandas: pandas.pydata.org Caffe/Caffe 2: caffe.berkeleyvision.org Jupyter: jupyter.org CNTK: microsoft.com/en-us/cognitive-toolkit NLTK: nltk.org
	Total Play:		0