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What Would it Take to Build a Time Machine?

would take to make a real-life time machine!;

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What Would it Take to Build a Time Machine?

would take to make a real-life time machine!;

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What Would it Take to Build a Hoverboard?

? Scientists' ideas for this involve futuristic materials and cutting-edge technology. Discover the science and technology behind what it would take to;

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What Would it Take to Build a Hoverboard?

? Scientists' ideas for this involve futuristic materials and cutting-edge technology. Discover the science and technology behind what it would take to;

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What Would It Take to Build a Deflector Shield?

energy from weapons be created? Scientists have some ideas, which include using lasers. Discover the science and technology behind what it would;

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Back-in-Time and Faster-than-Light Travel in General Relativity

addressed: Is causality protected by quantum divergence at the relevant Cauchy horizon? How much exotic matter would it take to create a;

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Back-in-Time and Faster-than-Light Travel in General Relativity

addressed: Is causality protected by quantum divergence at the relevant Cauchy horizon? How much exotic matter would it take to create a;

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What Would it Take to Build a Flying Car?

technology behind what it would take to make a real-life flying car!;

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How Humans Judge Machines

, algorithmic bias, and more. How would you feel about losing your job to a machine? How about a tsunami alert system that fails? Would you react;

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Building Intelligent Systems

Understand the concept of an Intelligent System: What it is good for, when you need one, and how to set it up for success Design an intelligent user;

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Educating Shelly

child's teacher a question, would you do it? Was the PTA originally meant to be a money machine? How can you tell if your child really has ADHD;

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The Price of Free Will

was "the better," would you? Even if it redefines what it means to be human? What if you knew it would kill you? Alistair Maxwell, genius, hacker;

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Test-Driven Machine Learning

with how to apply these concepts to machine learning * Build and test a neural network deterministically, and learn to look for niche cases;

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Machine Learning for the Web

smart (predictive) web applications. Knowledge of Django would be beneficial. The reader is expected to have a background in Python programming;

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Before the Time Machine

What would happen if a historical scholar of today could meet a budding writer from a century before? In 19th century England, young H.G;

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The Ethics of Encounter

and constructive proposal for what it would take to build such a culture in an American context marked by rising individualism, racial;

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Learning PySpark

it can be used to build data-intensive applications. Style and approach This book takes a very comprehensive, step-by-step approach so;

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Machine Learning Using R

shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with;

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Algorithmic Aspects of Machine Learning

of moments, tensor decompositions and convex programming relaxations. The treatment beyond worst-case analysis is to build a rigorous understanding;

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Algorithmic Aspects of Machine Learning

of moments, tensor decompositions and convex programming relaxations. The treatment beyond worst-case analysis is to build a rigorous understanding;

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Julia Programming Projects

A step-by-step guide that demonstrates how to build simple-to-advanced applications through examples in Julia Lang 1.x using modern tools;

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F# for Machine Learning

would be an added advantage. What You Will Learn * Use F# to find patterns through raw data * Build a set of classification systems using;

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In Memory of the Grumpy Old Man

common-sense look at history and why the world is the way it is and what it would take to change it for the better.;

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Artificial Intelligence for IoT Cookbook

-to-end AI apps and apply best practice solutions to common IoT problems. What you will learn Explore various AI techniques to build;

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Deploy Machine Learning Models to Production

Build and deploy machine learning and deep learning models in production with end-to-end examples. This book begins with a focus on the;

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Hands-On Ensemble Learning with R

Explore powerful R packages to create predictive models using ensemble methods Key Features Implement machine learning algorithms to build;

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Are You a Machine?

developments pose provocative questions. What would happen if those mysterious processes could be understood? Would a scientist be able to know;

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