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Author
Language
English
Formats
Description
Ensemble machine learning trains a diverse group of machine learning models to work together, aggregating their output to deliver richer results than a single model. Now in Ensemble Methods for Machine Learning you'll discover core ensemble methods that have proven records in both data science competitions and real-world applications. Hands-on case studies show you how each algorithm works in production. By the time you're done, you'll know the benefits,...
Author
Pub. Date
[2019]
Language
English
Description
"Boaler has spent decades studying the impact of beliefs and bias on education. In [this book], she [examines] these myths and reveals the six keys to unlocking ... learning potential. Her research proves that those who achieve at the highest levels do not do so because of a genetic inclination toward any one skill but because of the keys that she reveals in the book. Our brains are not 'fixed,' but entirely capable of change, growth, adaptability,...
Author
Pub. Date
2014.
Language
English
Formats
Description
From an early age, we are told that restlessness, distraction, and ignorance are the enemies of success. Learning is all self-discipline, so we must confine ourselves to designated study areas, turn off the music, and maintain a strict ritual. But what if almost everything we were told about learning is wrong? And what if there was a way to achieve more with less effort? Here, award-winning science reporter Benedict Carey sifts through decades of...
Author
Pub. Date
2020.
Language
English
Description
Humans learn best from feedback--we are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences. This reinforcement process can be applied to computer programs allowing them to solve more complex problems that classical programming cannot. Deep Reinforcement Learning in Action teaches you the fundamental concepts and terminology of deep reinforcement learning, along with the practical skills...
Author
Pub. Date
[2023]
Language
English
Description
A vital guide to building the platforms and systems that bring deep learning models to production. In Designing Deep Learning Systems you will learn how to: Transfer your software development skills to deep learning systems Recognize and solve common engineering challenges for deep learning systems Understand the deep learning development cycle Automate training for models in TensorFlow and PyTorch Optimize dataset management, training, model serving...
Author
Pub. Date
2023
Language
English
Description
Methodologies and recipes to regularize any machine learning and deep learning model using cutting-edge technologies such as stable diffusion, Dall-E and GPT-3 Purchase of the print or Kindle book includes a free PDF eBook Key Features Learn to diagnose the need for regularization in any machine learning model Regularize different ML models using a variety of techniques and methods Enhance the functionality of your models using state of the art computer...
Pub. Date
[2012-]
Language
English
Description
"Provides basic consumer health information about the signs, symptoms, and diagnosis of various learning disabilities and other conditions that impact learning, along with facts about early intervention and the special education process, advice for coping at home and school, and handling the transition to adulthood. Includes index, glossary of related terms, and other resources"--Provided by publisher.
Author
Pub. Date
2020
Language
English
Description
Cet ouvrage, conçu pour tous ceux qui souhaitent s'initier au deep learning (apprentissage profond), est la traduction de la deuxième partie du best-seller Hands-On Machine Learning with Scikit-Learn, Keras and TensorFlow (2e édition). Le deep learning est récent et il évolue vite. Ce livre en présente les principales techniques : les réseaux de neurones profonds, capables de modéliser toutes sortes de données, les réseaux de...
Author
Pub. Date
2022.
Language
English
Description
Learn how to harness modern deep-learning methods in many contexts. Packed with intuitive theory, practical implementation methods, and deep-learning case studies, this book reveals how to acquire the tools you need to design and implement like a deep-learning architect. It covers tools deep learning engineers can use in a wide range of fields, from biology to computer vision to business. With nine in-depth case studies, this book will ground you...
Author
Pub. Date
[1994]
Language
English
Description
This book ... advocate[s] for the informed observation and description of students without subjecting children to eligibility formulas and labels ... [It is] based on the firmly held conviction that the best educational care takes place when parents and educators form a coalition on behalf of the student, which is why the management techniques in this book are framed both for parents and schools ... [It is the author's] hope [that] this book can inspire...
Author
Pub. Date
[2009]
Language
English
Appears on list
Description
A collection of first-person accounts of successful people who learn differently. Whether it was reading, math, writing, or speech problems, each person shares his or her inspiring story of facing the challenge of school while pursuing important goals.
Author
Pub. Date
2023.
Language
English
Description
Discover one-of-a-kind AI strategies never before seen outside of academic papers! Learn how the principles of evolutionary computation overcome deep learning's common pitfalls and deliver adaptable model upgrades without constant manual adjustment. In Evolutionary Deep Learning you will learn how to: Solve complex design and analysis problems with evolutionary computation Tune deep learning hyperparameters with evolutionary computation (EC), genetic...
Author
Pub. Date
2023.
Language
English
Description
A vital guide to building the platforms and systems that bring deep learning models to production. In Designing Deep Learning Systems you will learn how to: Transfer your software development skills to deep learning systems Recognize and solve common engineering challenges for deep learning systems Understand the deep learning development cycle Automate training for models in TensorFlow and PyTorch Optimize dataset management, training, model serving...
Author
Series
Pub. Date
2021
Language
English
Description
"Adobe Premiere Pro: a complete course and compendium' is your guide to creating, editing, and enhancing videos in Adobe Premiere Pro. Whether you're organizing hours of interview, rapidly splicing news clips before a deadline, or creating your magnum opus, Premiere Pro in the tool for you--and this book will teach you what you need to know."--back cover.
Pub. Date
[2020]
Language
English
Description
Learn the most important tools in the repertoire of a data scientist and machine learning practitioner - Principal Component Analysis (PCA), Singular Value Decomposition (SVD), and Latent Semantic Analysis (LSA) - with the help of Krishnendu Chaudhury, a deep learning and computer vision expert with decade-long stints at both Google and Adobe Systems.
Pub. Date
2020.
Language
English
Description
Learn how to bring the power of deep learning to your structured, tabular data. Go hands-on with an open dataset detailing Airbnb rentals in New York City, and take on the challenge of creating an end-to-end deep learning solution for predicting prices. Each segment revolves around an essential task of the deep learning pipeline, and is a great way to get started applying deep learning to real-world problems.
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