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▶What You Will Learn - Understand various pre-processing techniques for deep learning problems - Build a vector representation of text using word2vec and GloVe - Create a named entity recognizer and parts-of-speech tagger with Apache OpenNLP - Build

▶Book Description Julia is a high-level, high-performance dynamic programming language for numerical computing. If you want to understand how to avoid bottlenecks and design your programs for the highest possible performance, then this book is for yo

▶Book Description Machine Learning for Finance explores new advances in machine learning and shows how they can be applied across the financial sector, including in insurance, transactions, and lending. It explains the concepts and algorithms behind

▶What You Will Learn - Visualize time series data and derive better insights - Explore auto-correlation and master statistical techniques - Use time series analysis tools from the stats, TSstudio, and forecast packages - Explore and identify seasonal

▶What You Will Learn - Learn how GANs work and the advantages and challenges of working with them - Control the output of GANs with the help of conditional GANs, using embedding and space manipulation - Apply GANs to computer vision, NLP, and audio p

▶What You Will Learn - Understand the basics and importance of clustering - Build k-means, hierarchical, and DBSCAN clustering algorithms from scratch with built-in packages - Explore dimensionality reduction and its applications - Use scikit-learn (

▶Book Description Active Directory is an administration system for Windows administrators to automate network, security and access management tasks in the Windows infrastructure. This book starts off with a detailed focus on forests, domains, trusts,

▶Book Description This book will follow a recipe-based approach and start off with an introduction to the fundamentals of PowerShell, and explaining how to install and run it through simple examples. Next, you will learn how to use PowerShell to acce

▶What You Will Learn - Solve linear and nonlinear models representing various financial problems - Perform principal component analysis on the DOW index and its components - Analyze, predict, and forecast stationary and non-stationary time series pro

▶Book Description Whether you're just getting your feet wet in cloud infrastructure or already creating complex systems, this book will guide you through using the patterns to fit your system needs. Starting with patterns that cover basic processes s

▶Book Description It is very important to understand the flexibility of an infrastructure when designing an efficient environment. In this book, you will cover everything from Linux components and functionalities through to hardware and software supp