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Guide covering topics from machine learning, regression models, neural network to tensor flow Key Features Machine learning in MATLAB using basic concepts and algorithms. Deriving and accessing of data in MATLAB and next, pre-processing and preparation of data. Machine learning workflow for health monitoring. The neural network domain and impleme-
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35.90 zł
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Artificial Intelligence and Machine Learning Fundamentals teaches you machine learning and neural networks from the ground up using real-world examples. After you complete this book, you will be excited to revamp your current projects or build new intelligent networks.
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39.90 zł
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NLP in Python is among the most sought-after skills among data scientists. With code and relevant case studies, this book will show how you can use industry grade tools to implement NLP programs capable of learning from relevant data. We will explore many modern methods ranging from spaCy to word vectors that have reinvented NLP.
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39.90 zł
89.90 zł(-56%) -
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Mastering Matplotlib covers the use cases and encounter unusual cases that requires more powerful tools. With the easy to follow examples and high end components of matplotlib, this book will enable to develop advanced and interactive plots using Python scripting and Matplotlib
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39.90 zł
89.90 zł(-56%) -
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Become a Python Data Analyst book introduces you to the mainstream libraries of Python’s Data Science stack. With proven examples and real-world datasets, this book teaches how to effectively perform data manipulation, visualize and analyze data patterns and brings you to the ladder of advanced topics like Predictive Analytics.
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36.90 zł
79.90 zł(-54%) -
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Bitcoin is a cryptocurrency that’s changing the face of online payments. This book will help you understand everything related to Bitcoin architecture. By the end, you’ll be able to mine Bitcoins, accept Bitcoin payments, and work with the basics of Blockchain technology to create simple distributed ledgers.
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Python's built-in unittest module is showing it's age; hard to extend, debug and track what's going on. The pytest framework overcomes these problems and simplifies testing your Python software. Many users love to use pytest and the improvement in their testing shows! This book is the ideal introduction to pytest, teaching you how to write tests of
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This book will walk you through the web application penetration testing methodology, showing you how to write your own tools with Python for every main activity in the process. It will show you how to test for security vulnerabilities in web applications just like security professionals and hackers do.
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Adding a layer of interactivity to your plots and converting these plots into applications hold immense value in the field of data science. The standard approach to adding interactivity would be to use paid software such as Tableau, but the Bokeh package in Python offers users a way to create both interactive and visually aesthetic plots for free.
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Get to grips with the skills you need for entry-level data science in this hands-on Python and Jupyter course. You'll learn about some of the most commonly used libraries that are part of the Anaconda distribution, and then explore machine learning models with real datasets to give you the skills and exposure you need for the real world. We'll fini
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20.90 zł
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This book gives you the skills you need to use Python for penetration testing, with the help of detailed code examples. This book has been updated for Python 3.6.3 and Kali Linux 2018.1.
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Python is an easy-to-learn and cross-platform programming language which has unlimited third-party libraries. Plenty of open source hacking tools are written in Python and can be easily integrated within your script. This book is divided into clear bite-size chunks so you can learn at your own pace and focus on the areas of most interest to you. Yo
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Develop and Implement your own Machine Learning Models to solve real world problems Key Features Introduction to Machine Learning, Python and Jupyter Learn about Feature Engineering and Data Visualization using real world data sets Learn various regression and classification techniques Deep Learning and Neural network concepts and practical cov
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Updated for both Python 3.4 and 2.7, this convenient pocket guide is the perfect on-the-job quick reference. You’ll find concise, need-to-know information on Python types and statements, special method names, built-in functions and exceptions, commonly used standard library modules, and other prominent Python tools. The handy index lets you p
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27.90 zł
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Are you new to SciPy and NumPy? Do you want to learn it quickly and easily through examples and a concise introduction? Then this is the book for you. You’ll cut through the complexity of online documentation and discover how easily you can get up to speed with these Python libraries.Ideal for data analysts and scientists in any field, this o
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21.90 zł
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Walk through the basics of Tornado, the high-performance web server known for its speed, simplicity, and scalability on projects large and small. With this hands-on guide, you’ll learn how to use Tornado’s acclaimed features by working with several example applications. You also get best practices for using Tornado in the real world.Are
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If you intend to use Amazon Web Services (AWS) for remote computing and storage, Python is an ideal programming language for developing applications and controlling your cloud-based infrastructure. This cookbook gets you started with more than two dozen recipes for using Python with AWS, based on the author’s boto library.You’ll find de
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Learn how to leverage MongoDB with your Python applications, using the hands-on recipes in this book. You get complete code samples for tasks such as making fast geo queries for location-based apps, efficiently indexing your user documents for social-graph lookups, and many other scenarios.This guide explains the basics of the document-oriented dat
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Dive into the RStudio Integrated Development Environment (IDE) for using and programming R, the popular open source software for statistical computing and graphics. This concise book provides new and experienced users with an overview of RStudio, as well as hands-on instructions for analyzing data, generating reports, and developing R software pack
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This is the book to reach for when you're coding on the fly and need an answer now. It's an easy-to-use reference to the core language, with descriptions of commonly used modules and toolkits, and a guide to recent changes, new features, and upgraded built-ins -- all updated to cover Python 3.X as well as version 2.6. You'll also quickly find exact
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