Understanding Machine-Learning : From Theory to Algorithms /

में बचाया:

ग्रंथसूची विवरण
मुख्य लेखक:	Shalev-Shwartz, Shai (autor)
अन्य लेखक:	Ben-David, Shai (autor)
स्वरूप:	पुस्तक
भाषा:	अंग्रेज़ी
प्रकाशित:	Nueva York, EUA : Cambridge University, 2018, c2014
संस्करण:	1a edición, 9a reimpresión
विषय:	Aprendizaje Automático (Inteligencia Artificial) - > Tema Principal Inteligencia Artificial Autómatas Matemáticos - > Teoría Algoritmos Computacionales Modelos Matemáticos Programación (Software) Sistemas Computacionales Ingeniería Computacional
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समान संसाधन: Understanding Machine-Learning :

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Understanding Machine-Learning : From Theory to Algorithms /
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Machine Learning Algorithms : Popular Algorithms for Data Science and Machine Learning /
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An Introduction to Machine Learning /
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Feature Learning and Understanding : Algorithms and Applications /
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Designing Machine Learning Systems /
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Tree-based Machine Learning Algorithms : Decision Trees, Random Forests, and Boosting /
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Probabilistic Machine Learning : Advanced Topics /
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Machine Learning : A Probabilistic Perspective /
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Effective Machine Learning Teams : Best Practices for ML Practitioners /
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Introduction to Generative AI /
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Feature Engineering and Selection : A Practical Approach for Predictive Models /
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Deep Reinforcement Learning in Action /
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Deep Reinforcement Learning Hands-On : Practical Problems of Chatbots, Robotics, Discrete Optimization, Web Automation, and More /
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Machine Learning with TensorFlow /
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Mastering Machine Learning with Scikit-Learn : Apply Effective Learning Algorithms to Real-World Problems Using Scikit-Learn /
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Feature Engineering for Machine Learning and Data Analytics /
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Feature Engineering Made Easy : Identify Unique Features From Your Dataset in Order to Build Powerful Machine Learning Systems /
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Feature Engineering for Machine Learning : Principles and Techniques for Data Scientists /
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Feature Engineering for Machine Learning : Principles and Techniques for Data Scientists /
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Practical Machine Learning : Tackle the Real-World Complexities of Modern Machine Learning with Innovative and Cutting-Edge Techniques /
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Machine Learning and Cybernetics : 13th International Conference Lanzhou, China, July 13–16, 2014 : Proceedings /
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A First Course in Machine Learning /
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Ensemble Machine Learning Cookbook : Over 35 Practical Recipes to Explore Ensemble Machine Learning Techniques Using Python /
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Advances in Financial Machine Learning /