Epython Lab

TensorFlow and Scikit-learn If you're interested in solving machine learning questions, two of the most popular open-source libraries in the world for solving these problems are TensorFlow and Scikit-learn. TensorFlow and Scikit-learn, provide any data scientist the ability to use the most advanced techniques in supervised and unsupervised machine learning easily, and for a variety of situations. You can expect that TensorFlow and Scikit-learn will continue to be used for machine learning in both industry and academia for the foreseeable future. @epythonlab #keynote #tensorflow #scikitlearn

Barriers to Deep Learning Unfortunately, deep learning is not the solution to every problem. It has three major barriers: 1. It requires enough data- Deep learning requires a lot of data 2. It requires much computing power- for example:- Google's DeepMind AlphaGo required 1,202 CPUs and 176 GPUs. 3. You probably won't understand why certain decisions were being made, given the complexity and flexibility of these algorithms. Application of machine learning is one that requires deep learning. @epythonlab #keynote #deeplearning #machinelearning

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Best Neural Networks and Deep Learning Books [Book] https://github.com/manjunath5496/Neural-Networks-Books @epythonlab #books

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Natural Language Processing in Python book Link:https://www.nltk.org/book/ @epythonlab #books

Natural Language Processing in Python book Link:https://www.nltk.org/book/ @epythonlab #books

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#CODE_CHALLENGE #PYTHON_LIST #LOOPS #FUNCTIONS 1. Write a function called delete_starting_evens() that has a parameter named lst. The function should remove elements from the front of lst until the front of the list is not even. The function should then return lst. For example if lst started as [4, 8, 10, 11, 12, 15], then delete_starting_evens(lst) should return [11, 12, 15]. Make sure your function works even if every element in the list is even! POST YOUR SOLUTION @Pydiscussion

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Transforming XML document into pandas dataframe in Python https://youtu.be/qAaVKCi3wu0

⚙️ Graph Operations in Python https://www.pythonforbeginners.com/data-structures/graph-operations-in-python @epythonlab #article

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