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AIP Cookbook

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Individual Preferences in e-Learning

Trainers and educators ask: 'What personality types do best at e-learning; who really likes e-learning?' Better that they should ask: 'How;

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Corporate E-Learning

train their global workforce. Drawing on a wealth of in-person interviews of numerous e-learning professionals at IBM, as well as recent e;

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Church Bells and Train Whistles

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Dieci Marchi E Un Biglietto del Treno

and a train ticket Italian description: Nel gennaio del 1939 i fratelli Benno e Heinz, di 9 e 13 anni, furono messi dai genitori su un treno;

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Machine Learning with SAP

Predictive Analysis Library (PAL) and machine learning functional and business services to train and deploy models. Finally, see machine learning;

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All Aboard the Numbers Train

Hop on board our amazing train for a fun-filled learning journey! We're at the station and ready to go. We're off to explore numbers, space;

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Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide

Learn how to train popular deep learning architectures such as autoencoders, convolutional and recurrent neural networks while discovering;

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TensorFlow Deep Learning Projects

learning pipelines using the popular Tensorflow framework Train neural networks such as ConvNets, generative models, and LSTMs Includes projects;

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Train for Results

Train for Results, 3rd Edition, is focused on training review activities. Train for Results shows professional trainers, educators and;

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The Learning Mentor Toolkit

The Learning Mentor Toolkit provides all of the resources necessary to recruit, train and supervise adult learning mentors looking to;

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The Learning Mentor Toolkit

The Learning Mentor Toolkit provides all of the resources necessary to recruit, train and supervise adult learning mentors looking to;

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How to Train Your Brain for Intelligent Thought Learn How to Master Learning, Cognition, & Increase IQ

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Deep Learning with PyTorch Quick Start Guide

teach you how to train deep learning models without any hassle. We will set up the deep learning environment using PyTorch, and then train and;

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E-learning 1.0, 2.0, and 3.0 in Higher Education

This book has a completely new take on e-learning in higher education, introducing a novel framework which distinguishes between e-learning;

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Train at Home to Work at Home

-at-home careers.Distance-learning programs have exploded in the last few years---courses are now available online, via e;

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Delivering E-Learning

Delivering E-Learning describes a new and better way of understanding e-learning. The author looks at overcoming objections to e-learning;

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Evaluating E-Learning Systems

There has been a continuous interest on assessment of e-learning systems within educational organizations as both a web-based learning;

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Amazon SageMaker Developer Guide

build and train machine learning models, and then directly deploy them into a production-ready hosted environment.;

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E-Learning

Adaptive E-learning is advisable for students with unique profiles, specific interests, and from various areas of knowledge, so that;

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Defendu

train the Shanghai Municipal Police. ;

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Mastering Machine Learning Algorithms

train effective deep neural networks. By the end of this book, you will be ready to implement and solve end-to-end machine learning problems and;

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Evaluating E-Learning

Does e-learning work? How much does e-learning benefit both the organization and its learners? Is e-learning a wise investment or a waste;

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E-Learning, E-Business, Enterprise Information Systems, and E-Government

E-Learning, E-Business, Enterprise Information Systems, and E-Government is a compendium of articles and papers that were presented at EEE;

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E-Learning Fundamentals

This ultimate roadmap covers the entire e-learning landscape. Why do we even need e-learning? What is an LMS? How do I write a storyboard;

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E-Learning Quick Checklist

E-Learning QUICK Checklist walks readers through the various factors important to developing, evaluating and implementing an open, flexible;

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Tinyml Machine Learning with Tensorflow Lite on Arduino and UltraLowPower Microcontrollers

Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size;

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