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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
[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...
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
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.
Author
Language
English
Description
Innovation and competition are driving analysts and data scientists toward increasingly complex predictive modeling and machine learning algorithms. This complexity makes these models accurate, but can also make their predictions difficult to understand. When accuracy outpaces interpretability, human trust suffers, affecting business adoption, model validation efforts, and regulatory oversight. In the updated edition of this ebook, Patrick Hall and...
Author
Language
English
Formats
Description
Grokking Machine Learning presents machine learning algorithms and techniques in a way that anyone can understand. This book skips the confused academic jargon and offers clear explanations that require only basic algebra. As you go, you'll build interesting projects with Python, including models for spam detection and image recognition. You'll also pick up practical skills for cleaning and preparing data.
Author
Language
English
Formats
Description
Build highly secure and scalable machine learning platforms to support the fast-paced adoption of machine learning solutions Key Features Explore different ML tools and frameworks to solve large-scale machine learning challenges in the cloud Build an efficient data science environment for data exploration, model building, and model training Learn how to implement bias detection, privacy, and explainability in ML model development Book Description...
Author
Pub. Date
2023.
Language
English
Description
Deep learning enables previously unattainable feats in automation, but extracting real-world business value from it is a daunting task. This book will teach you how to build complex deep learning models and gain intuition for structuring your data to accomplish your deep learning objectives. This deep learning book explores every aspect of the deep learning life cycle, from planning and data preparation to model deployment and governance, using real-world...
14) Listen and learn
Author
Series
Language
English
Description
Knowing how to listen is essential to learning, growing, and getting along with others. Simple words and inviting illustrations help children develop skills for listening, understand why it's important to listen, and recognize the positive results of listening. Includes a note to teachers and parents, additional information for adults, and activities.
Author
Series
Language
English
Description
This book provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. It contains a breakdown of each ML variant, explaining how it works and how it is used within certain industries, allowing readers to incorporate the presented techniques into their own work as they follow along. It is an accessible, comprehensive guide for the non-mathematician, providing...
Author
Pub. Date
2023.
Language
English
Description
Evolutionary Deep Learning is a guide to improving your deep learning models with AutoML enhancements based on the principles of biological evolution. This exciting new approach utilizes lesser-known AI approaches to boost performance without hours of data annotation or model hyperparameter tuning. In this one-of-a-kind guide, you'll discover tools for optimizing everything from data collection to your network architecture.
Author
Pub. Date
[2004]
Language
English
Description
Bill Torbert and associates illustrate how individuals and organizations can progress through more and more sophisticated "action-logics" -- strategies for analyzing the world and reacting to it -- until they will eventually be able to practice action inquiry continually. Offering action inquiry exercises at the end of the chapters, the book moves from junior managers beginning to practice action inquiry through CEO's transforming whole companies,...
Author
Pub. Date
2018.
Language
English
Description
"Our homes, communities, and the world itself need the natural assets our children bring with them as learners, and which they often lose over time on the assembly line that pervades most of the public education system today. We see no actions as more important in school than developing, supporting, and reinforcing children's sense of agency, the value of their voices, and their potential to influence their own communities.In Timeless Learning, an...
Author
Pub. Date
[2017]
Language
English
Description
Never Stop Learning
The ticket to a successful and fulfilling life is a significant upgrade to everyone's ability to learn. Visionary teacher and lifelong learner Patricia McLagan views learning ability as software for processing daily life. And like all software, learning software require upgrades, and regular reboots!
In “Unstoppable You: Adopt the New Learning 4.0 Mindset and Change Your Life”, McLagan shares her method for keeping learning...
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