The Class Action Playbook is a unique and strategic "how to" guide for practitioners seeking to bring or defend a class action. Every important issue is addressed, including the initial shape of the proposed action, choice of forum, case-management schedules, pre-certification discovery and motions activity, briefing and argument of the class-certification motion, class notice, preparation for trial, class settlements, and the binding effects of class-action judgments. Experienced practitioners Brian Anderson and Andrew Trask analyze what decisions the plaintiff and defendant must make at each stage of a proposed class action, and the considerations that might drive different strategies at each stage. The authors explain the importance of every issue, the choices available to each side, and the factors each side should consider in choosing the best path to follow. The Class Action Playbook also contains a CD-ROM appendix of high-quality example documents used by plaintiffs and defendants in the litigation of each stage of a class action.

The Class Action Playbook

Anderson, Brian

Trask, Andrew

Rules & Procedures

Oxford University Press

Where the fate of a company is on the line in a negotiation, legal and business teams must work seamlessly to reach a successful conclusion. Unfortunately, there's often a gap between lawyers, who are typically untrained in business strategy, and business executives, who lack basic knowledge of contract law and regulations. In Betting the Company: Complex Negotiation Strategies for Law and Business, Andrew Trask and Andrew DeGuire offer a thorough introduction to enable lawyers and business people to understand the theoretical concepts and to apply practical tools to conduct a successful, multi-faceted negotiation. The authors, both of whom have extensive experience conducting high-stakes negotiation, explain the different strategic considerations negotiators face, from the pressures on individuals representing a larger group to the difficulties that arise from clashes of corporate culture. They also discuss the specific challenges raised by negotiations that involve multiple parties, multiple issues, and take place over longer periods of time. Throughout this illuminating book, Trask and DeGuire provide concrete, practical advice on how best to guide companies through the most difficult negotiations.

Betting the Company: Complex Negotiation Strategies for Law and Business

DeGuire, Andrew

The Class Action Playbook is a unique and strategic "how to" guide for practitioners seeking to bring or defend a class action. Every important issue is addressed, including the initial shape of the proposed action, choice of forum, case-management schedules, pre-certification discovery and motions activity, briefing and argument of the class-certification motion, class notice, preparation for trial, class settlements, and the binding effects of class action judgments. Experienced practitioners Brian Anderson and Andrew Trask analyze what decisions the plaintiff and defendant must make at each stage of a proposed class action, and the considerations that might drive different strategies at each stage. The authors explain the importance of every issue, the choices available to each side, and the factors each side should consider in choosing the best path to follow. This Second Edition covers six relevant cases from the historic 2010 and 2011 Supreme Court terms; official commentary on class actions with citations to the new American Law Institute's statement of the Principles of Aggregated Litigation, and where it upholds plaintiffs' or defendants' arguments; a discussion on emerging class action litigation tactics, including the use of arbitration clauses and the use of motions to strike class allegations; new appellate-court trends in class-action law, including developments in adequacy of representation, superiority, and use of experts at class certification.

Summary Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Deep learning, a branch of artificial intelligence, teaches computers to learn by using neural networks, technology inspired by the human brain. Online text translation, self-driving cars, personalized product recommendations, and virtual voice assistants are just a few of the exciting modern advancements possible thanks to deep learning. About the Book Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Using only Python and its math-supporting library, NumPy, you'll train your own neural networks to see and understand images, translate text into different languages, and even write like Shakespeare! When you're done, you'll be fully prepared to move on to mastering deep learning frameworks. What's inside <ul>
<li>The science behind deep learning</li>
<li>Building and training your own neural networks</li>
<li>Privacy concepts, including federated learning</li>
<li>Tips for continuing your pursuit of deep learning</li>
</ul>
 About the Reader For readers with high school-level math and intermediate programming skills. About the Author Andrew Trask is a PhD student at Oxford University and a research scientist at DeepMind. Previously, Andrew was a researcher and analytics product manager at Digital Reasoning, where he trained the world's largest artificial neural network and helped guide the analytics roadmap for the Synthesys cognitive computing platform. Table of Contents <ol>
<li>Introducing deep learning: why you should learn it</li>
<li>Fundamental concepts: how do machines learn?</li>
<li>Introduction to neural prediction: forward propagation</li>
<li>Introduction to neural learning: gradient descent</li>
<li>Learning multiple weights at a time: generalizing gradient descent</li>
<li>Building your first deep neural network: introduction to backpropagation</li>
<li>How to picture neural networks: in your head and on paper</li>
<li>Learning signal and ignoring noise:introduction to regularization and batching</li>
<li>Modeling probabilities and nonlinearities: activation functions</li>
<li>Neural learning about edges and corners: intro to convolutional neural networks</li>
<li>Neural networks that understand language: king - man + woman == ?</li>
<li>Neural networks that write like Shakespeare: recurrent layers for variable-length data</li>
<li>Introducing automatic optimization: let's build a deep learning framework</li>
<li>Learning to write like Shakespeare: long short-term memory</li>
<li>Deep learning on unseen data: introducing federated learning</li>
<li>Where to go from here: a brief guide</li>
</ol>

Grokking Deep Learning

Computers & Technology

Computer Science

Manning

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Books by Trask, Andrew

See the best price to sell, buy, or rent books by Trask, Andrew. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

The Class Action Playbook

Betting the Company: Complex Negotiation Strategies for Law and Business

The Class Action Playbook

Grokking Deep Learning