The Art Of M A
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The Art of M&A, Fifth Edition: A Merger, Acquisition, and Buyout Guide
Author: Alexandra Reed Lajoux
language: en
Publisher: McGraw-Hill Education
Release Date: 2019-08-05
Make every deal a major win! The M&A classic has been updated for today’s business landscape Since the last edition of this authoritative resource was published, the M&A world has gone from boom to bust and back again—and this new edition brings you completely up to date. With critical lessons learned from the financial crises and regulatory shocks of the past decade, The Art of M&A, Fifth Edition delivers the information and insight you need to make all the right decisions throughout the process. Learn the ins and outs of: •Getting Started—basic process, requirements, and objectives• Strategy—deciding what to buy and why•Valuation and Modeling—measuring and projecting value pre- and post-merger• Financing and Refinancing—sourcing capital • Structuring—mitigating financial, tax, and legal risk• Due Diligence—investigating a business’s past, present, and future risks• Documentation and Closing—pulling everything together to ensure a smooth transaction • Integration—merging resources, processes, and responsibilities to maximize synergies• Landmark Cases—legal cases you need to understand The Art of M&A is an indispensable resource for anyone heavily engaged in the process—whether you’re an executive tasked with growing your businesses, an investment banker structuring transactions, an attorney responsible for due diligence, or an accountant who advises buyers and sellers. Turn to this definitive resource to develop, steward, and close deals that benefit everyone involved.
Art in the Age of Machine Learning
An examination of machine learning art and its practice in new media art and music. Over the past decade, an artistic movement has emerged that draws on machine learning as both inspiration and medium. In this book, transdisciplinary artist-researcher Sofian Audry examines artistic practices at the intersection of machine learning and new media art, providing conceptual tools and historical perspectives for new media artists, musicians, composers, writers, curators, and theorists. Audry looks at works from a broad range of practices, including new media installation, robotic art, visual art, electronic music and sound, and electronic literature, connecting machine learning art to such earlier artistic practices as cybernetics art, artificial life art, and evolutionary art. Machine learning underlies computational systems that are biologically inspired, statistically driven, agent-based networked entities that program themselves. Audry explains the fundamental design of machine learning algorithmic structures in terms accessible to the nonspecialist while framing these technologies within larger historical and conceptual spaces. Audry debunks myths about machine learning art, including the ideas that machine learning can create art without artists and that machine learning will soon bring about superhuman intelligence and creativity. Audry considers learning procedures, describing how artists hijack the training process by playing with evaluative functions; discusses trainable machines and models, explaining how different types of machine learning systems enable different kinds of artistic practices; and reviews the role of data in machine learning art, showing how artists use data as a raw material to steer learning systems and arguing that machine learning allows for novel forms of algorithmic remixes.
The Art of War
This is the most important book ever written about warfare and conflict. Lionel Giles' translation is the definitive edition and his commentary is indispensable. The Art of War can be used and adapted in every facet of your life. This book explains when and how to go to war as well as when not to. Learn how to win any conflict whether it be on the battlefield or in the boardroom.