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Machine learning in Python: the top programming language

Phyton’s most notable points are: -Is a great library ecosystem (Scikit-learn, Pandas, Matplotlib, NLTK, Scikit-image, PyBrain, Caffe, StatsModels, TensorFlow, Keras, etc). -Growing popularity. -Has a low entry barrier, has flexibility, is a platform independence, has readability, good visualization options, good community support and growing popularity.
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Python for Everybody: Exploring Data in Python 3

Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet. (Dr. Charles R….
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Natural Language Processing Succinctly

AI assistants represent a significant frontier for development. But the complexities of such systems pose a significant barrier for developers. In Natural Language Processing Succinctly, author Joseph Booth will guide readers through designing a simple system that can interpret and provide reasonable responses to written…
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Natural Language Processing with Python

This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library.
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Scikit-Learn

Scikit-Learn Tutorial (Materials for my scikit-learn tutorial) By Jake VanderPlas who is the director of Open Software at the University of Washington’s eScience institute, and researches and teaches in a variety of areas, including Astronomy, Astrostatistics, Machine Learning, and Scalable Computation.
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Neural Networks with JavaScript Succinctly

Although most concepts are relatively simple, there are many of them, and they interact with each other in unobvious ways, which is a major challenge of neural networks. But you can learn all important neural network concepts by running and examining the code in this…
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La era de los datos | 🇬🇧 The Age of Data

La era de los datos | 🇬🇧 The Age of Data «Diecinueve grandes expertos de todo el mundo esbozan las reformas ambiciosas y radicales necesarias para encarar los desafíos de la era de los datos». | 🇬🇧 «Nineteen leading experts from all over the world…
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