Detects malicious files on your computer and erases dangerous content, allowing you to run on-demand scans of important system areas or specific files. As suggested by its name, Malware Hunter is designed to search and eliminate potentially dangerous files and components on your computer, keeping it free from viruses and other types of threats.

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Discover how to apply the principles of OOP, types, and package management the right way

Text data is important for many domains, from healthcare to marketing to the digital humanities, but specialized approaches are necessary to create features for machine learning from language. Supervised Machine Learning for Text Analysis in R explains how to preprocess text data for modeling, train models, and evaluate model performance using tools from the tidyverse and tidymodels ecosystem. Models like these can be used to make predictions for new observations, to understand what natural language features or characteristics contribute to differences in the output, and more. If you are already familiar with the basics of predictive modeling, use the comprehensive, detailed examples in this book to extend your skills to the domain of natural language processing. This book provides practical guidance and directly applicable knowledge for data scientists and analysts who want to integrate unstructured text data into their modeling pipelines. Learn how to use text data for both regression and classification tasks, and how to apply more straightforward algorithms like regularized regression or support vector machines as well as deep learning approaches. Natural language must be dramatically transformed to be ready for computation, so we explore typical text preprocessing and feature engineering steps like tokenization and word embeddings from the ground up. These steps influence model results in ways we can measure, both in terms of model metrics and other tangible consequences such as how fair or appropriate model results are.

Advancements in the technology and availability of data sources have led to the `Big Data' era. Working with large data offers the potential to uncover more fine-grained patterns and take timely and accurate decisions, but it also creates a lot of challenges such as slow training and scalability of machine learning models. One of the major challenges in machine learning is to develop efficient and scalable learning algorithms, i.e., optimization techniques to solve large scale learning problems.

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Building software is harder than ever. As a developer, you not only have to chase ever-changing technological trends but also need to understand the business domains behind the software. This practical book provides you with a set of core patterns, principles, and practices for analyzing business domains, understanding business strategy, and, most importantly, aligning software design with its business needs.

This book develops foundational concepts in probability and statistics with primary applications in mechanical and aerospace engineering. It develops the mindset a data analyst must have to interpret an ill-defined problem, operationalize it, collect or interpret data, and use this evidence to make decisions that can improve the quality of engineered products and systems. It was designed utilizing the latest research in statistics learning and in engagement teaching practices

Engineers and non-engineers often eschew electrical engineering because it is premised on concepts and mathematical techniques that are somewhat more abstract and elusive than those employed in disciplines like civil, mechanical, and industrial engineering. Yet, because of the ubiquitous nature of electrical and electronic equipment and devices, and the indispensable role electricity plays in various facets of lives, a basic understanding of electrical engineering is essential. Engineers and non-engineers find themselves interfacing with electrical apparatus and dealing with matters that permeate into the electrical realm. Therein lies the purpose and objective of this book. This edition includes numerous updated pictures, diagrams, tables, charts, graphs, and improved explanation of certain concepts.