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TensorFlow for Deep Learning
Programacion , Python / septiembre 16, 2018

Book Name: TensorFlow for Deep Learning Author: Bharath Ramsundar, Reza Bosagh Zadeh ISBN-10: 1491980451 Year: 2018 Pages: 256 Language: English File size: 16.2 MB File format: PDF   TensorFlow for Deep Learning Book Description: Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects in images, understanding text, analyzing video, and predicting the properties of potential medicines. TensorFlow for Deep Learning teaches concepts through practical examples and helps you build knowledge of deep learning foundations from the ground up. It’s ideal for practicing developers with experience designing software systems, and useful for scientists and other professionals familiar with scripting but not necessarily with designing learning algorithms. Learn TensorFlow fundamentals, including how to perform basic computation Build simple learning systems to understand their mathematical foundations Dive into fully connected deep networks used in thousands of applications Turn prototypes into high-quality models with hyperparameter optimization Process images with convolutional neural networks Handle natural language datasets with recurrent neural networks Use reinforcement learning to solve games such as…

Building Machine Learning Systems with Python Book
Programacion , Python / septiembre 16, 2018

Book Name: Building Machine Learning Systems with Python, 3rd Edition Author: Luis Pedro Coelho, Wilhelm Richert, Matthieu Brucher ISBN-10: B079Q7Q9R5 Year: 2018 Pages: 406 Language: English File size: 17.50 MB File format: PDF Building Machine Learning Systems with Python Book Description: Get more from your data by creating practical machine learning systems with Python Key Features Develop your own Python-based machine learning system Discover how Python offers multiple algorithms for modern machine learning systems Explore key Python machine learning libraries to implement in your projects Book Description Machine learning allows systems to learn things without being explicitly programmed to do so. Python is one of the most popular languages used to develop machine learning applications, which take advantage of its extensive library support. This third edition of Building Machine Learning Systems with Python addresses recent developments in the field by covering the most-used datasets and libraries to help you build practical machine learning systems. Using machine learning to gain deeper insights from data is a key skill required by modern application developers and analysts alike. Python, being a dynamic language, allows for fast exploration and experimentation. This book shows you exactly how to find patterns in your raw data. You…

Beginning Programming with Python For Dummies
Python / julio 15, 2018

  Learn Python the fun and easy way and get in the programming game today! Python is one of the fastest growing programming languages, and no wonder. It requires three to five times less time than developing in Java, is a great building block for learning both procedural and object-oriented programming concepts, and is an ideal language for data analysis. Beginning Programming with Python For Dummies is the perfect guide to this dynamic and powerful programming language even if you’ve never coded before! Author John Paul Mueller draws on his vast programming knowledge and experience to guide you step-by-step through the syntax and logic of programming with Python and provides several real-world programming examples to give you hands-on experience trying out what you’ve learned. Provides a solid understanding of basic computer programming concepts and helps familiarize you with syntax and logicExplains the fundamentals of procedural and object-oriented programmingShows how Python is being used for data analysis and other applicationsIncludes short, practical programming samples to apply your skills to real-world programming scenarios Whether you’ve never written a line of code or are just trying to pick up Python, there’s nothing to fear with the fun and friendly Beginning Programming with Python…

Mastering Machine Learning in Python
Programacion , Python / mayo 3, 2018

Master machine learning with Python in six steps and explore fundamental to advanced topics, all designed to make you a worthy practitioner.  This book’s approach is based on the “Six degrees of separation” theory, which states that everyone and everything is a maximum of six steps away. Mastering Machine Learning with Python in Six Steps presents each topic in two parts: theoretical concepts and practical implementation using suitable Python packages.  You’ll learn the fundamentals of Python programming language, machine learning history, evolution, and the system development frameworks. Key data mining/analysis concepts, such as feature dimension reduction, regression, time series forecasting and their efficient implementation in Scikit-learn are also covered. Finally, you’ll explore advanced text mining techniques, neural networks and deep learning techniques, and their implementation.  All the code presented in the book will be available in the form of iPython notebooks to enable you to try out these examples and extend them to your advantage. What You’ll Learn Examine the fundamentals of Python programming language Review machine Learning history and evolution Understand machine learning system development frameworks Implement supervised/unsupervised/reinforcement learning techniques with examples Explore fundamental to advanced text mining techniques Implement various deep learning frameworks Descargar / Download

Python Forensics
Hacking , Python , Security / abril 27, 2018

Python Forensics provides many never-before-published proven forensic modules, libraries, and solutions that can be used right out of the box. In addition, detailed instruction and documentation provided with the code samples will allow even novice Python programmers to add their own unique twists or use the models presented to build new solutions. Rapid development of new cybercrime investigation tools is an essential ingredient in virtually every case and environment. Whether you are performing post-mortem investigation, executing live triage, extracting evidence from mobile devices or cloud services, or you are collecting and processing evidence from a network, Python forensic implementations can fill in the gaps. Descargar / Download

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