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Ethereum Smart Contract Development: Build blockchain-based decentralized applications using solidity
Ethereum Smart Contract Development: Build blockchain-based decentralized applications using solidity

Become an Ethereum Blockchain developer using a blend of concepts and hands-on implementations

Key Features

  • Understand the Ethereum Ecosystem and its differences from its rich cousin Bitcoin
  • Explore the Solidity programming language and smart contract optimizations
  • ...
TensorFlow 2.0 Quick Start Guide: Get up to speed with the newly introduced features of TensorFlow 2.0
TensorFlow 2.0 Quick Start Guide: Get up to speed with the newly introduced features of TensorFlow 2.0

Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks.

Key Features

  • Train your own models for effective prediction, using high-level Keras API
  • Perform supervised and unsupervised machine learning and learn...
Introduction to Blockchain and Ethereum: Use distributed ledgers to validate digital transactions in a decentralized and trustless manner
Introduction to Blockchain and Ethereum: Use distributed ledgers to validate digital transactions in a decentralized and trustless manner

Build distributed applications that resolve data ownership issues when working with transactions between multiple parties

Key Features

  • Explore a perfect balance between theories and hands-on activities
  • Discover popular Blockchain use cases such as Bitcoin
  • ...
Mastering Microsoft Power BI: Expert techniques for effective data analytics and business intelligence
Mastering Microsoft Power BI: Expert techniques for effective data analytics and business intelligence

Design, create and manage robust Power BI solutions to gain meaningful business insights

Key Features

  • Master all the dashboarding and reporting features of Microsoft Power BI
  • Combine data from multiple sources, create stunning visualizations and publish your reports across...
Data Science with SQL Server Quick Start Guide: Integrate SQL Server with data science
Data Science with SQL Server Quick Start Guide: Integrate SQL Server with data science

Get unique insights from your data by combining the power of SQL Server, R and Python

Key Features

  • Use the features of SQL Server 2017 to implement the data science project life cycle
  • Leverage the power of R and Python to design and develop efficient data models
  • ...
Hands-On Data Visualization with Bokeh: Interactive web plotting for Python using Bokeh
Hands-On Data Visualization with Bokeh: Interactive web plotting for Python using Bokeh

Learn how to create interactive and visually aesthetic plots using the Bokeh package in Python

Key Features

  • A step by step approach to creating interactive plots with Bokeh
  • Go from nstallation all the way to deploying your very own Bokeh application
  • Work...
Advanced Infrastructure Penetration Testing: Defend your systems from methodized and proficient attackers
Advanced Infrastructure Penetration Testing: Defend your systems from methodized and proficient attackers

A highly detailed guide to performing powerful attack vectors in many hands-on scenarios and defending significant security flaws in your company's infrastructure

Key Features

  • Advanced exploitation techniques to breach modern operating systems and complex network devices
  • ...
Kali Linux Web Penetration Testing Cookbook: Identify, exploit, and prevent web application vulnerabilities with Kali Linux 2018.x, 2nd Edition
Kali Linux Web Penetration Testing Cookbook: Identify, exploit, and prevent web application vulnerabilities with Kali Linux 2018.x, 2nd Edition

Discover the most common web vulnerabilities and prevent them from becoming a threat to your site's security

Key Features

  • Familiarize yourself with the most common web vulnerabilities
  • Conduct a preliminary assessment of attack surfaces and run exploits in your lab
  • ...
Monetizing Machine Learning: Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud
Monetizing Machine Learning: Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud

Take your Python machine learning ideas and create serverless web applications accessible by anyone with an Internet connection. Some of the most popular serverless cloud providers are covered in this book?Amazon, Microsoft, Google, and PythonAnywhere.

You will work through a series of common Python data science problems...

Deep Learning Essentials: Your hands-on guide to the fundamentals of deep learning and neural network modeling
Deep Learning Essentials: Your hands-on guide to the fundamentals of deep learning and neural network modeling

Get to grips with the essentials of deep learning by leveraging the power of Python

Key Features

  • Your one-stop solution to get started with the essentials of deep learning and neural network modeling
  • Train different kinds of neural networks to tackle various problems in...
Applied Analytics through Case Studies Using SAS and R: Implementing Predictive Models and Machine Learning Techniques
Applied Analytics through Case Studies Using SAS and R: Implementing Predictive Models and Machine Learning Techniques
Examine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning techniques using SAS and the R analytical language.  

This book is ideal for those who are well-versed in writing code and have a basic understanding of statistics, but have limited
...
Decoupled Drupal in Practice: Architect and Implement Decoupled Drupal Architectures Across the Stack
Decoupled Drupal in Practice: Architect and Implement Decoupled Drupal Architectures Across the Stack

Gain a clear understanding of the most important concepts in the decoupled CMS landscape. You will learn how to architect and implement decoupled Drupal architectures across the stack?from building the back end and designing APIs to integrating with front-end technologies.  You'll also review presenting data through consumer...

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