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Author: Max Pumperla
Publisher: "O'Reilly Media, Inc."
ISBN: 1098117190
Category : Computers
Languages : en
Pages : 274
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Book Description
Get started with Ray, the open source distributed computing framework that simplifies the process of scaling compute-intensive Python workloads. With this practical book, Python programmers, data engineers, and data scientists will learn how to leverage Ray locally and spin up compute clusters. You'll be able to use Ray to structure and run machine learning programs at scale. Authors Max Pumperla, Edward Oakes, and Richard Liaw show you how to build machine learning applications with Ray. You'll understand how Ray fits into the current landscape of machine learning tools and discover how Ray continues to integrate ever more tightly with these tools. Distributed computation is hard, but by using Ray you'll find it easy to get started. Learn how to build your first distributed applications with Ray Core Conduct hyperparameter optimization with Ray Tune Use the Ray RLlib library for reinforcement learning Manage distributed training with the Ray Train library Use Ray to perform data processing with Ray Datasets Learn how work with Ray Clusters and serve models with Ray Serve Build end-to-end machine learning applications with Ray AIR
Author: Max Pumperla
Publisher: "O'Reilly Media, Inc."
ISBN: 1098117190
Category : Computers
Languages : en
Pages : 274
Get Book Here
Book Description
Get started with Ray, the open source distributed computing framework that simplifies the process of scaling compute-intensive Python workloads. With this practical book, Python programmers, data engineers, and data scientists will learn how to leverage Ray locally and spin up compute clusters. You'll be able to use Ray to structure and run machine learning programs at scale. Authors Max Pumperla, Edward Oakes, and Richard Liaw show you how to build machine learning applications with Ray. You'll understand how Ray fits into the current landscape of machine learning tools and discover how Ray continues to integrate ever more tightly with these tools. Distributed computation is hard, but by using Ray you'll find it easy to get started. Learn how to build your first distributed applications with Ray Core Conduct hyperparameter optimization with Ray Tune Use the Ray RLlib library for reinforcement learning Manage distributed training with the Ray Train library Use Ray to perform data processing with Ray Datasets Learn how work with Ray Clusters and serve models with Ray Serve Build end-to-end machine learning applications with Ray AIR
Author: Ray Jimenez
Publisher: Lulu.com
ISBN: 0979184746
Category : Computers
Languages : en
Pages : 216
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Book Description
Author: Jamis Buck
Publisher:
ISBN: 9781680502718
Category : Computers
Languages : en
Pages : 292
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Book Description
Brace yourself for a fun challenge: build a photorealistic 3D renderer from scratch! In just a couple of weeks, build a ray tracer that renders beautiful scenes with shadows, reflections, refraction effects, and subjects composed of various graphics primitives: spheres, cubes, cylinders, triangles, and more. With each chapter, implement another piece of the puzzle and move the renderer forward. Use whichever language and environment you prefer, and do it entirely test-first, so you know it's correct.
Author:
Publisher: BRILL
ISBN: 9460912079
Category : Education
Languages : en
Pages : 490
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Book Description
Over the last decade the notion of ‘threshold concepts’ has proved influential around the world as a powerful means of exploring and discussing the key points of transformation that students experience in their higher education courses and the ‘troublesome knowledge’ that these often present. Threshold concepts provoke in the learner a state of 'liminality' in which transformation takes place, requiring the integration of new understanding and the letting go of previous learning stances. Insights gained by learners as they cross thresholds can be exhilarating but might also be unsettling, requiring an uncomfortable shift in identity, or, paradoxically, a sense of loss. The liminal space can be a suspended state of partial understanding, or’stuck place', in which understanding approximates to a kind of 'mimicry'. Threshold Concepts and Transformational Learning substantially increases the empirical evidence for threshold concepts across a large number of disciplinary contexts and from the higher education sectors of many countries. This new volume develops further theoretical perspectives and provides fresh pedagogical directions. It will be of interest to teachers, practitioners and managers in all disciplines as well as to educational researchers.
Author: Jon Krohn
Publisher: Addison-Wesley Professional
ISBN: 0135121728
Category : Computers
Languages : en
Pages : 725
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Book Description
"The authors’ clear visual style provides a comprehensive look at what’s currently possible with artificial neural networks as well as a glimpse of the magic that’s to come." – Tim Urban, author of Wait But Why Fully Practical, Insightful Guide to Modern Deep Learning Deep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. Deep Learning Illustrated is uniquely intuitive and offers a complete introduction to the discipline’s techniques. Packed with full-color figures and easy-to-follow code, it sweeps away the complexity of building deep learning models, making the subject approachable and fun to learn. World-class instructor and practitioner Jon Krohn–with visionary content from Grant Beyleveld and beautiful illustrations by Aglaé Bassens–presents straightforward analogies to explain what deep learning is, why it has become so popular, and how it relates to other machine learning approaches. Krohn has created a practical reference and tutorial for developers, data scientists, researchers, analysts, and students who want to start applying it. He illuminates theory with hands-on Python code in accompanying Jupyter notebooks. To help you progress quickly, he focuses on the versatile deep learning library Keras to nimbly construct efficient TensorFlow models; PyTorch, the leading alternative library, is also covered. You’ll gain a pragmatic understanding of all major deep learning approaches and their uses in applications ranging from machine vision and natural language processing to image generation and game-playing algorithms. Discover what makes deep learning systems unique, and the implications for practitioners Explore new tools that make deep learning models easier to build, use, and improve Master essential theory: artificial neurons, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), deep reinforcement learning, and more Walk through building interactive deep learning applications, and move forward with your own artificial intelligence projects Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Author: Suneeta Mall
Publisher: "O'Reilly Media, Inc."
ISBN: 1098145259
Category : Computers
Languages : en
Pages : 448
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Book Description
Bringing a deep-learning project into production at scale is quite challenging. To successfully scale your project, a foundational understanding of full stack deep learning, including the knowledge that lies at the intersection of hardware, software, data, and algorithms, is required. This book illustrates complex concepts of full stack deep learning and reinforces them through hands-on exercises to arm you with tools and techniques to scale your project. A scaling effort is only beneficial when it's effective and efficient. To that end, this guide explains the intricate concepts and techniques that will help you scale effectively and efficiently. You'll gain a thorough understanding of: How data flows through the deep-learning network and the role the computation graphs play in building your model How accelerated computing speeds up your training and how best you can utilize the resources at your disposal How to train your model using distributed training paradigms, i.e., data, model, and pipeline parallelism How to leverage PyTorch ecosystems in conjunction with NVIDIA libraries and Triton to scale your model training Debugging, monitoring, and investigating the undesirable bottlenecks that slow down your model training How to expedite the training lifecycle and streamline your feedback loop to iterate model development A set of data tricks and techniques and how to apply them to scale your training model How to select the right tools and techniques for your deep-learning project Options for managing the compute infrastructure when running at scale
Author: Marilyn Elm
Publisher: Xlibris Corporation
ISBN: 1450053157
Category : Biography & Autobiography
Languages : en
Pages : 99
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Book Description
Harry was a good man who left his sons a great legacy. Everyone must deal with the death of a loved one at some point in their lives. This is the true story of one man's short life and the people who loved him. This sometimes sad and sometimes funny short story will ring true to any reader. It brings a sense of familiarity because loss is something we all have in common.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 204
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Book Description
Author: Joseph Murphy
Publisher: Simon and Schuster
ISBN: 1628739347
Category : Education
Languages : en
Pages : 297
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Book Description
This revealing and balanced portrait of homeschooling today provides a full history of the movement, demographic insights, and extensive research on how homeschooled children fare in the United States. Delving into a movement that impacts more students nationwide than the entire charter school movement, this book explores: • The history of homeschooling in America • How this movement has grown in credibility and enrollment exponentially • The current state of homeschooling, including questions about who gets homeschooled, why, and what is the success—academically and in life—of students who are homeschooled • The impact of homeschooling on the student and on American society In 2010, more than two million students were homeschooled. In the most extensive survey and analysis of research on homeschooling, spanning the birth of the movement in the 1970s to today, Homeschooling in America shines a light on one of the most important yet least understood social movements of the last forty years and explores what it means for education today.
Author: Mark Durie
Publisher: Oxford University Press
ISBN: 0195066073
Category : Language Arts & Disciplines
Languages : en
Pages : 330
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Book Description
Historical reconstruction of languages relies on the comparative method, which itself depends on the notion of the regularity of change. The regularity of sound change is the famous Neogrammarian Hypothesis: "sound change takes place according to laws that admit no exception." The comparative method, however, is not restricted to the consideration of sound change, and neither is the assumption of regularity. Syntactic, morphological, and semantic change are all amenable in varying degrees, to comparative reconstruction, and each type of change is constrained in ways that enable the researcher to distinguish between regular and more irregular changes.This volume draws together studies by scholars engaged in historical reconstruction, all focussing on the subject of regularity and irregularity in the comparative method. A wide range of languages are represented, including Chinese, Germanic, and Austronesian.
