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  2. Learn Python machine learning with these essential books and ...

    www.aol.com/learn-python-machine-learning...

    Teaching yourself Python machine learning can be a daunting task if you don’t know where to start. Fortunately, there are plenty of good introductory books and online courses that teach you the ...

  3. scikit-learn - Wikipedia

    en.wikipedia.org/wiki/Scikit-learn

    scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...

  4. Machine learning - Wikipedia

    en.wikipedia.org/wiki/Machine_learning

    Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]

  5. Artificial Intelligence: A Guide for Thinking Humans - Wikipedia

    en.wikipedia.org/wiki/Artificial_Intelligence:_A...

    Mitchell finds the book empowering, stating that the things we may see as human flaws help to make us intelligent in ways computers can't match, and that Mitchell's insights help to validate Warner's own handpicked book recommendations despite the existence of automated Amazon recommendations. [8]

  6. TensorFlow - Wikipedia

    en.wikipedia.org/wiki/TensorFlow

    Google JAX is a machine learning framework for transforming numerical functions. [ 71 ] [ 72 ] [ 73 ] It is described as bringing together a modified version of autograd (automatic obtaining of the gradient function through differentiation of a function) and TensorFlow's XLA (Accelerated Linear Algebra).

  7. Natural Language Toolkit - Wikipedia

    en.wikipedia.org/wiki/Natural_Language_Toolkit

    It is accompanied by a book that explains the underlying concepts behind the language processing tasks supported by the toolkit, [6] plus a cookbook. [ 7 ] NLTK is intended to support research and teaching in NLP or closely related areas, including empirical linguistics , cognitive science , artificial intelligence , information retrieval , and ...

  8. The Master Algorithm - Wikipedia

    en.wikipedia.org/wiki/The_Master_Algorithm

    The book outlines five approaches of machine learning: inductive reasoning, connectionism, evolutionary computation, Bayes' theorem and analogical modelling.The author explains these tribes to the reader by referring to more understandable processes of logic, connections made in the brain, natural selection, probability and similarity judgments.

  9. Weka (software) - Wikipedia

    en.wikipedia.org/wiki/Weka_(software)

    Waikato Environment for Knowledge Analysis (Weka) is a collection of machine learning and data analysis free software licensed under the GNU General Public License.It was developed at the University of Waikato, New Zealand and is the companion software to the book "Data Mining: Practical Machine Learning Tools and Techniques".

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