A neural network is a series of algorithms that aims to identify underlying relationships in a set of data through a process that is similar to the way the human brain functions.

Keras is an open-source library written in Python for advancing and evaluating deep learning models. It enables you to define and train neural network models in a few lines of code. In this post, we will learn how to build a neural network using…

All the data we need today is already available on the internet, which is great news for data scientists. The only barrier to using this data is the ability to access it. There are some platforms that even include APIs (such as Twitter) that support data collection from web pages, but it is not possible to crawl most web pages using this advantage..

This…

PyTorch is known for being a clean framework, and hence it was a challenging task to achieve the production capability and flexibility needed for research. I think that the major hurdle for pushing production support to the core was going out of Python's realm and moving the PyTorch model to a faster, thread-safe language that has multithreading capability. But then, that violated the Python-first principle that PyTorch had up to that…

This article by Chanchal Singh and Manish Kumar will delve into some of the common MapReduce patterns that will help you work with Hadoop. Chanchal Singh has more than five years of experience in product development and architect design, and Manish Kumar is a technical architect with more than ten years of experience in data management, working as a data architect and product architect.

The design patterns are the solution templates for solving specific problems. Developers…

It has been popularly noted that artificial intelligence would be like the ultimate version of Google. With recent advancements in research and technology, Artificial Intelligence (AI) and Machine Learning (ML) are slowly becoming a part of our routine.

The pace at which technology is growing is unfathomable. As these smart technologies engulf our life, staying updated with them is the need of the day. So, here’s Packt’s selection of finest books in artificial intelligence and machine…

The diverse fields in which machine learning has proven its worth is nothing short of amazing. At the heart of machine learning are the various algorithms it employs to classify data and predict outcomes. This article highlights two greedy classifiers that, albeit simple, can be extremely powerful in their own right.

This article is an excerpt from the book…

Learn about Microsoft's network architecture and products in this article by Florian Klaffenbach, a technology solution professional at Microsoft who is a well-known expert when it comes to hybrid cloud scenarios, cloud connectivity, and cloud environment optimization.

This article will take a closer look at Microsoft's connectivity options and how you can connect to Microsoft Cloud Services. You will learn about Microsoft's points of presence for internet peering and…

This article delves in some of the widespread Python web frameworks and what makes them popular today.

Python is one of the most popular and versatile programming languages. There are thousands of Python packages, and these allow you to extend Python capabilities to any domain,be it web development, Internet of Things (IoT), artificial intelligence, or machine learning, and scientific computing. We can work with many different web frameworks and packages to…

Learn about CART in this guest post by Jillur Quddus, a lead technical architect, polyglot software engineer and data scientist with over 10 years of hands-on experience in architecting and engineering distributed, scalable, high-performance, and secure solutions used to combat serious organized crime, cybercrime, and fraud.

Although both linear regression models allow and logistic regression models allow us to predict a categorical outcome, both of these models assume…

Every person and every organization in the world manages data, whether they realize it or not. Data is used to describe the world around us and can be used for almost any purpose, from analyzing consumer habits to fighting disease and…

Working with real data means that you need to get real insight for your business; don't let the essential information slip out of your grasp - the world of machine learning awaits you!

Here is a list of Packt’s latest Machine Learning eBooks to help you stay updated with the technology.…

How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is the path toward human-level machine intelligence? What should we be concerned about as artificial intelligence advances?…

Tokenomics is the economy of this new world. This is a no-holds-barred, in-depth exploration of the way in which we can participate in the blockchain economy.

The following is an excerpt from the book, Tokenomics by Thomas Power and Sean Au and published by Packt.

One of the biggest challenges of…

The goal of both logical and physical architecture specifications is to define and document the logical and physical components of a system, respectively, in order to provide clarity around how those component elements relate to one another. The artifacts resulting from either effort could be text documentation, or diagrams, and both have their own advantages and drawbacks.

This is an extract is taken from …

This article is an excerpt from “Natural Language Processing and Computational Linguistics” published by Packt.…

Advanced Deep Learning with Keras

A comprehensive guide to advanced deep…

Learn how to transform data into business insight with these Data Tutorials and eBooks.

Deep Reinforcement Learning Hands-On By Maxim Lapan

This practical guide will teach…

Python Machine Learning - Second Edition by Sebastian Raschka & Vahid Mirjalili

The first edition of this book, is a balance of classical ideas and modern insights into…

TensorFlow 1.x Deep Learning Cookbook

By Antonio Gulli, Amita Kapoor

Take the next step in implementing various common and not-so-common neural networks with Tensorflow 1.x

In this book, you will learn how to efficiently use TensorFlow, Google's open…