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You Look Like a Thing and I Love You

You Look Like a Thing and I Love You

by Janelle Shane
272 Pages · 2019 · 19 MB · 3,598 Downloads · New!
" Happiness doesn't result from what we get, but from what we give. ” ― Ben Carson
Hands-On Convolutional Neural Networks with TensorFlow
by Iffat Zafar, Giounona Tzanidou, Richard Burton, Nimesh Patel, Leonardo Araujo
272 Pages · 2015 · 18 MB · 4,545 Downloads · New!
The “Hands-On Convolutional Neural Networks with TensorFlow: Solve computer vision problems with modeling in TensorFlow and Python” is a great book for those who want to use Convolutional Neural Networks for solving real-world problems. Iffat Zafar, Giounona Tzanidou, Richard Burton, Nimesh Patel, and Leonardo Araujo are the authors of this great book. Convolutional Neural Networks are the most popular architectures used in computer vision apps. This book will guide the readers on how to train machine learning models with TensorFlow.
Algorithms of the Intelligent Web
by Dmitry Babenko, Douglas Mcllwraith, Haralambos Marmanis
240 Pages · 2015 · 5 MB · 66 Downloads · New!
The “Algorithms of the Intelligent Web” guides you through algorithms to capture, store and structure data streams that come from the web. The authors of this most informative book are Douglas Mcllwraith, Haralambos Marmanis and Dmitry Babenko. Douglas Mcllwraith is a machine learning expert and data science practitioner in the field of online advertising. He currently working as a senior data scientist for a London-based advertising company. Dr.Haralambos Marmanis is the explorer of machine learning techniques for industrial solutions. Dmitry Babenko has designed a variety of applications and infrastructure frameworks for banking. Dmitry received an M.S degree in computer science from Belarussian University. This book teaches you through algorithm, store, capture and structure data streams coming from the web. This book includes the full introduction of machine learning, Extraction structure from data. Furthermore, how recommendation engines work and Deep learning, neural networks. All in all, Algorithms of the Intelligent Web teaches you how to create a machine learning application in the easiest way.
Hands-On Neural Networks with TensorFlow 2.0
by Paolo Galeone
358 Pages · 2015 · 21 MB · 70 Downloads · New!
The “Hands-On Neural Networks with TensorFlow 2.0: Understand TensorFlow, from the static graph to eager execution, and design neural networks” is an excellent book that covers machine learning with a focus on developing neural network-based solutions. Paolo Galeone is the author of this informative book. Paolo Galeone is a computer engineer with strong practical experience. In 2019, Google recognized his expertise by awarding him the title of Google Developer Expert (GDE) in Machine Learning. As a GDE, he shares his passion for machine learning and the TensorFlow framework by blogging, speaking at conferences. In this book, you will learn how to create classifiers, build object detection and semantic segmentation networks. After reading this, you will learn how to apply the new features of TF 2.0 to speed up development. How to use the SavedModel file format to put a model, or a generic computational graph, into production. If you are a developer who wants to get started with machine learning and TensorFlow, then Hands-On Neural Networks with TensorFlow 2.0 is for you.
The Book of Why
by Judea Pearl, Dana Mackenzie
432 Pages · 2015 · 32 MB · 71 Downloads · New!
“The Book of Why: The New Science of Cause and Effect” is an accessible book on the new approach to causality in science. Judea Pearl and Dana Mackenzie are the authors of this science book. Judea Pearl is a professor of computer science at UCLA. He has written numerous science books and also won numerous awards. The Book of Why is about how a new science of cause and effect can be joined to statistics, so a robot with real human-like intelligence can be created. This book tells the story of how classical statistics was separated from cause and effect by its development as a mathematical transformation of observed data. Furthermore, the section in the book treats the subject of climate change shows some of the challenges facing those seeking to truly understand what we know and what we don’t know about this issue. To be honest, it is a must-read, not only for causal inference theorists but more widely for those with an interest in contemporary developments in computer science or Artificial Intelligence. Each topic is covered clearly and concisely and packed with the details that you learn to be truly effective. To sum it up, The Book of Why is an educational book for the readers.
Machine Learning for Finance
by Jannes Klaas
456 Pages · 2015 · 15 MB · 81 Downloads · New!
The “Machine Learning for Finance: Principles and practice for financial insiders” is an instructive book that explores new developments in the machine.Jannes Klaasis the author of this informative book. Jannes Klaas is a quantitative researcher with a background in economics and finance. He explains about machine learning for finance as lead developer for machine learning at the Turning society. Jannes is currently a graduate student at Oxford University with active research interests including systemic risk and large scale automated knowledge discovery. In Machine Learning for Finance, is based on machine learning training courses for professionals and provides basics concepts and advanced ML ideas that should be applied in an extensive variety of ways. With the help of this book, you will learn how machine learning can detect fraud, analyze customer sentiments and more. You will also learn about address bias and privacy concerns in machine learning.
Bits to Bitcoin
by Mark Stuart Day, C.A. Jennings
368 Pages · 2018 · 8 MB · 1,683 Downloads · New!
The “Bits to Bitcoin: How Our Digital Stuff Works (The MIT Press), 1st Edition” is an enlightening book that describes the technical world. Mark Stuart Day and C.A. Jennings are the authors of this book. Mark Stuart was Chief Scientist at Riverbed Technology for a decade and is currently visiting teacher at MIT. He has written numerous books and all of them are worth to read. The authors explain the basics of operating systems, networks, security and some other related topics.

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