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Python Projects for Beginners: A Ten-Week Bootcamp Approach to Python Programming

Apress, 2019

Immerse yourself in learning Python and introductory data analytics with this book’s project-based approach. Through the structure of a ten-week coding bootcamp course, you’ll learn key concepts and gain hands-on experience through weekly projects.

Each chapter in this book is presented as a full week of...

The Brain from Inside Out

Oxford University Press, 2019

Is there a right way to study how the brain works? Following the empiricist's tradition, the most common approach involves the study of neural reactions to stimuli presented by an experimenter. This 'outside-in' method fueled a generation of brain research and now must confront hidden
assumptions about causation and...

Deep Learning with TensorFlow: Explore neural networks and build intelligent systems with Python, 2nd Edition

Packt Publishing, 2018

Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of TensorFlow.

Key Features

Learn how to implement advanced techniques in deep learning with Google's brainchild, TensorFlow

Explore deep neural...

Python Machine Learning Case Studies: Five Case Studies for the Data Scientist

Apress, 2017

Embrace machine learning approaches and Python to enable automatic rendering of rich insights and solve business problems. The book uses a hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied. These smarter machines will enable your business processes to achieve efficiencies on...

Deep Learning Cookbook: Practical Recipes to Get Started Quickly

O'Reilly, 2018

Deep learning doesn’t have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such as Keras and Tensorflow, software engineers without a background in machine learning can quickly enter the field. With the recipes in this cookbook, you’ll learn how to solve...

Serverless Applications with Node.js: Using AWS Lambda and Claudia.js

Manning Publications, 2019

Summary

Serverless Applications with Node.js walks you through building serverless apps on AWS using JavaScript. Inside, you'll discover what Claudia.js brings to the table as you build and deploy a scalable event-based serverless application, based around a pizzeria that's fully integrated with AWS...

Beginning React: Simplify your frontend development workflow and enhance the user experience of your applications with React

Packt Publishing, 2018

Take your web applications to a whole new level with efficient, component-based UIs that deliver cutting-edge interactivity and performance.

Key Features

Elaborately explains basics before introducing advanced topics

Explains creating and managing the state of components...

Full-Stack React Projects: Modern web development using React 16, Node, Express, and MongoDB

Packt Publishing, 2018

Unleash the power of MERN stack by building diverse web applications using React, Node.js, Express, and MongoDB

Key Features

Create dynamic web applications with the MERN stack

Leverage the power of React in building interactive and complex user interfaces

Databases DeMYSTiFieD, 2nd Edition

McGraw-Hill, 2010

Learning DATABASE fundamentals just got a whole lot EASIER!

Now you can design, build, and manage a fully functional database with ease. Thoroughly updated to cover the latest technologies and techniques, Databases Demystified, Second Edition gives you the hands-on help you need to get started.

Written in a...

Python Machine Learning Cookbook

Packt Publishing, 2016

100 recipes that teach you how to perform various machine learning tasks in the real world

About This Book

Understand which algorithms to use in a given context with the help of this exciting recipe-based guide

Learn about perceptrons and see how they are used to build neural...

R Deep Learning Essentials

Packt Publishing, 2016

Key Features

Harness the ability to build algorithms for unsupervised data using deep learning concepts with R

Master the common problems faced such as overfitting of data, anomalous datasets, image recognition, and performance tuning while building the models

Build models relating to neural...

Calculus for Computer Graphics

Springer, 2013

Students studying computer animation and computer games have to be familiar with geometry, matrices, vectors, rotation transforms, quaternions, curves and surfaces, and as computer graphics software becomes increasingly sophisticated, calculus is also being used to resolve its associated problems.

The author draws upon his...

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