Machine Learning Techniques And Tools For Ai Through Python Supervised Learning Classification Methods Ensemble Learning And Neural Networks(1st Edition)
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Perez
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ISBN: 1326283219, 978-1326283216
Book publisher: Scientific Books
Book Price $0 : Artificial Intelligence Techniques Are The Methods And Approaches Used To Develop Systems That Can Perform Tasks That Normally Require Human Intelligence. Machine Learning Is A Branch Of AI That Allows Machines To Learn From Data Without Being Explicitly Programmed To Perform Specific Tasks. Most Of The Supervised Machine Learning Techniques Are Developed Throughout This Book From A Methodological Point Of View And From A Practical Point Of View With Applications Through Python Software. The Following Techniques Are Deepened: Nearest Neighbor (kNN), Support Vector Machine (SVM), Naive Bayes, Ensemble Methods, Bagging, Boosting, Voting, Stacking, Blending, Random Forest, Neural Networks, Multilayer Perceptron, Radial Basis Networks, Hopfield Networks, LSTM Networks, Recurrent Networks (RNN), GRU Networks, And Neural Networks For Time Series Prediction. This Book Will Use, Among Others, The Tools TensorFlow, Keras, PyTorch, And Scikit-learn. The Development Of The Techniques Is Carried Out Through The Python Programming Language.
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