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Learning How to Learn, Learning How to Understand

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Educational Theories for Contemporary Practising Educators

how children learn. The knowledge of learning theories enables practising teachers to help learners learn. This book has sifted the several;

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Practical Automated Machine Learning on Azure Using Azure Machine Learning to Quickly Build AI Solutions

Develop smart applications without spending days and weeks building machine-learning models. With this practical book, you'll learn how to;

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Machine Learning with scikit-learn Quick Start Guide

as classification, regression and clustering Understand how scikit-learn can be applied to different types of machine learning problems Book;

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Learning and Teaching Early Math

Douglas Clements and Julie Sarama show how learning trajectories help teachers understand children's level of mathematical understanding and lead;

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Learning and Teaching Early Math

Douglas Clements and Julie Sarama show how learning trajectories help teachers understand children's level of mathematical understanding and lead;

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Learn Unity ML-Agents - Fundamentals of Unity Machine Learning

Transform games into environments using machine learning and Deep learning with Tensorflow, Keras, and Unity Key Features Learn how to;

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Kubeflow for Machine Learning From Lab to Production

in a development environment on-premises. Understand Kubeflow's design, core components, and the problems it solves Learn how to set up;

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Learning about Learning

This practical A4 pack contains activities and ideas for teachers and students to learn more about learning. Learning about Learning is a;

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Learning to Apply Book Three

help students learn how to learn, learn how to understand what they learn and learn how to apply whatever is learned. Learning to Apply Book;

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Understanding How Asperger Children and Adolescents Think and Learn

Understanding How Asperger Children and Adolescents Think and Learn helps educators appreciate the learning process and improve its;

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Hands-On Reinforcement Learning for Games

variety of features to improve your game agent's productivity. As you advance, you'll understand how deep reinforcement learning (DRL) techniques;

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Level III: Student Text

than simply teach them how to study, the hm Program emphasizes the need to understand their learning style, empowering them to adapt to new;

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How People Learn II Learners, Contexts, and Cultures 2

individual learning. How People Learn II will become an indispensable resource to understand learning throughout the lifespan for educators;

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Modern Deep Learning Design and Application Development

Learn how to harness modern deep-learning methods in many contexts. Packed with intuitive theory, practical implementation methods, and;

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Teach Assist Gde Understand & Supp Learn

status. This practical guide gives TAs useful advice on: how learning happens; identifying different learning styles; developing an effective;

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Learning and Teaching in the Primary Classroom

maximise learning. You will learn how to take account of your pupils' knowledge, skills and attitudes when selecting and applying principles;

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Learning and Teaching in the Primary Classroom

maximise learning. You will learn how to take account of your pupils' knowledge, skills and attitudes when selecting and applying principles;

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Machine Learning Fundamentals

developers who are new to the field of machine learning and want to learn how to use the scikit-learn library to develop machine learning algorithms;

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Organizational Learning and Performance

and organizational scholars a solid foundation to understand individual and organizational learning. Drawing from research in the social;

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Mastering Machine Learning Algorithms

machine learning algorithms and understand how they work in depth. One-stop solution to mastering supervised, unsupervised, and semi-supervised;

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Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits

how to formulate the problem at hand, prepare required data, and evaluate and deploy models in production. What you will learn Understand when;

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Deep Learning for the Life Sciences

sciences in particular. This practical book teaches developers and scientists how to use deep learning for genomics, chemistry, biophysics;

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Beginning Anomaly Detection Using Python-Based Deep Learning

Utilize this easy-to-follow beginner's guide to understand how deep learning can be applied to the task of anomaly detection. Using Keras;

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Python Machine Learning Cookbook

100 recipes that teach you how to perform various machine learning tasks in the real world About This Book * Understand which;

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The Deep Learning Workshop

Features Understand how to implement deep learning with TensorFlow and Keras Learn the fundamentals of computer vision and image recognition;

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The The Reinforcement Learning Workshop

challenging tasks Learn how to solve finite Markov decision problems Train models to understand popular video games like Breakout Book;

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