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…

Conversational user interface (UI) is changing the way that we interact. Intelligent assistants, chatbots and voice-enabled devices, like Amazon Alexa and Google Home, offer a new, natural, and intuitive human-machine interaction and open up a whole new world for us as humans. Chatbots and voicebots ease, speed up, and improve daily tasks. They increase our efficiency and compared to humans, they are also very cost effective…

Artificial Intelligence is the most important development in technology and society since the invention of the Internet.

In August 2018, Packt - the leading UK provider of technology/coding books and courses, conducted a survey to understand how AI is changing the wider tech industry beyond data-specific job roles and how it will impact them today and tomorrow.…

Artificial Intelligence with Python

By Prateek joshi

Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you

What you will…

With Beginning Data Science with Python and Jupyter, get to grips with the…

Though CNNs have mostly been used for computer vision tasks, nothing stops them from being used in NLP applications. One such application for which CNNs have been used effectively is sentence classification.

In sentence classification, a given sentence should be classified to a class. We will use a question database, where each question is labeled by what the question is about. For example, the question, "Who was Abraham Lincoln?" will be a question and…

In this article by Maxim Lapan,  the author of Deep Reinforcement Learning Hands-On,we are going to discuss about gradients in PyTorch.

Gradients support in tensors is one of the major changes in PyTorch 0.4.0. In previous versions, graph tracking and gradients accumulation were done in a separate, very thin class Variable, which worked as a wrapper around the tensor and automatically performed saving of the history of computations in order to be able to…

What You Need to Know about Machine Learning

By Gabriel A. Canepa

This eBook offers you the perfect place to lay the foundation for your work in the world of Machine Learning, providing the basic understanding, knowledge, and skills…

The performance of the neural network improves with an increasing volume of training data. With more and more devices generating data that can potentially be used for training and model generation, the models are getting better at generalizing the stochastic environment and handling complex tasks. However, with more data and more complex structures for the deep neural networks, the computational requirements increase.

Even though we have started leveraging GPUs for deep neural network…