A Simple Lie Movie Download

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Presentation Zen

FOREWORD BY GUY KAWASAKI Presentation designer and internationally acclaimed communications expert Garr Reynolds, creator of the most popular Web site on presentation design and delivery on the Net — presentationzen.com — shares his experience in a provocative mix of illumination, inspiration, education, and guidance that will change the way you think about making presentations with PowerPoint or Keynote. Presentation Zen challenges the conventional wisdom of making "slide presentations" in today’s world and encourages you to think differently and more creatively about the preparation, design, and delivery of your presentations. Garr shares lessons and perspectives that draw upon practical advice from the fields of communication and business. Combining solid principles of design with the tenets of Zen simplicity, this book will help you along the path to simpler, more effective presentations.
The Irrational Consumer

Companies of all kinds have fallen into some of the most fundamental of traps when it comes to consumer marketing; in assuming that the motivation that drives their customers is entirely rational. Enrico Trevisan's The Irrational Consumer builds on the ground breaking works on behavioural economics of authors such as Daniel Kahneman and Richard Thaler in order to explain the fundamental drivers of customer decisions and how to incorporate these into your business strategy. Learn how consumers respond to different offer architectures and discounts; why they sometimes struggle to see the wood for the trees in a world of ever-increasing options; what are the rules of thumb they develop for making sense of value. Behavioural economics offers organizations perspectives for engaging with customers, whose views on what to buy are strongly driven by contextual factors, such as the framework and the dynamics of choices. Enrico Trevisan's The Irrational Consumer is your 'must-have' primer to this world.
Mathematics for Machine Learning

Author: Marc Peter Deisenroth
language: en
Publisher: Cambridge University Press
Release Date: 2020-04-23
Distills key concepts from linear algebra, geometry, matrices, calculus, optimization, probability and statistics that are used in machine learning.