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Vergelijkbare producten zoals Supervised Machine Learning for Kids (Tinker Toddlers)
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, toddlers, and preschoolers. Look around you. What machines do you see? From the award-winning Tinker Toddlers series, Machine Learning for Kids;
Vergelijkbare producten zoals Machine Learning for Kids (Tinker Toddlers)
, toddlers, and preschoolers. Did you know machines can learn, just like you? From the award-winning Tinker Toddlers series, Neural Networks for Kids;
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curiosity (and might stimulate your senses too)! Told with 2 levels of learning: Level 1: Black text for baby basics Level 2: Purple text for early;
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, adventure, and curiosity (and might stimulate your senses too)! Told with 2 levels of learning: Level 1: Black text for baby basics Level 2: Purple;
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, adventure, and curiosity (and might stimulate your senses too)! Told with 2 levels of learning: Level 1: Black text for baby basics Level 2: Purple;
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This book provides conceptual understanding of machine learning algorithms though supervised, unsupervised, and advanced learning;
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DescriptionScikit-learn is a robust machine learning library for the Python programming language. It provides a set of supervised and unsupervised learning;
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> Features various supervised machine learning based regression models Offers global case studies for turbine wind farm layouts
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your own models for effective prediction, using high-level Keras API Perform supervised and unsupervised machine learning and learn advanced;
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AI framework intended to solve a problem of bias-variance tradeoff for supervised learning methods in real-life applications. It comprises;
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unsupervised and semi-supervised machine learning techniques with study of semantic analysis and thorough analysis of reviews. Divided into sections;
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Teach your machine to think for itself! Key Features Delve into supervised learning and grasp how a machine learns from data Implement;
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data needs. This newly updated and revised guide will help you master algorithms used widely in semi-supervised learning, reinforcement;
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Supervised Learning with Python is for you if you want to gain a solid understanding of machine learning using Python. It'll help if you to have some;
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workflows for predictive modeling using text as features Compare traditional machine learning methods and deep learning methods for text data;
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workflows for predictive modeling using text as features Compare traditional machine learning methods and deep learning methods for text data;
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Understand the difference between supervised and unsupervised models Learn the usage of machine learning through real-world examples Book;
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DescriptionR provides excellent visualization features that are essential for exploring data before using it in automated learning. Applied Supervised;
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learning. Subsequently, it discusses supervised learning, highlighting Python libraries such as NumPy, Pandas and Scikit Learn programming. It also;
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learning. Subsequently, it discusses supervised learning, highlighting Python libraries such as NumPy, Pandas and Scikit Learn programming. It also;
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in details some specific techniques based on complex networks for supervised, non-supervised, and semi-supervised learning. Particularly, a;
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in details some specific techniques based on complex networks for supervised, non-supervised, and semi-supervised learning. Particularly, a;
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