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▶Book Description Design patterns are essentially reusable solutions to common programming problems. When used correctly, they meet crucial software requirements with ease and reduce costs. This book will uncover effective ways to use design patterns

▶What You Will Learn - Implement basic-to-advanced deep learning algorithms - Master the mathematics behind deep learning algorithms - Become familiar with gradient descent and its variants, such as AMSGrad, AdaDelta, Adam, and Nadam - Implement recu

▶Book Description Data analysis has become a necessary skill in a variety of positions where knowing how to work with data and extract insights can generate significant value. Hands-On Data Analysis with Pandas will show you how to analyze your data,

▶Book Description Go (or Golang) is a statically typed programming language developed at Google. Known for its vast standard library, it also provides features such as garbage collection, type safety, dynamic-typing capabilities, and additional built

▶Book Description APIs are the cornerstone of modern, agile enterprise systems. They enable access to enterprise services from a wide variety of devices, act as a platform for innovation, and open completely new revenue streams. Enterprise API Manage

▶What You Will Learn - Pre-process data to make it ready to use for machine learning - Create data visualizations with Matplotlib - Use scikit-learn to perform dimension reduction using principal component analysis (PCA) - Solve classification and re

▶Book Description Functional programming enables you to divide your software into smaller, reusable components that are easy to write, debug, and maintain. Combined with the power of C++, you can develop scalable and functional applications for moder

▶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