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real-life example in Scala. What you will learn Get acquainted with JVM-based machine learning libraries for Scala such as Spark ML and;
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recipes for Scala machine learning * Recipes for every stage of the data analysis process, from reading and collecting data to distributed;
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the best and newest tools available such as Scala, Spark, Parquet and MLlib for machine learning * Learn the best practices to incorporate;
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a data analyst with a fundamental knowledge of Scala who wants to learn and implement various Machine learning techniques, this book is for;
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Are you curious about AI? All you need is a good understanding of the Scala programming language, a basic knowledge of statistics, a keen;
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Machine learning applications autonomously reason about data at massive scale. It's important that they remain responsive in the face;
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want to implement various machine-learning concepts in the context of Spark ML, this book is for you. You should be well versed with the Scala and;
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learn-to-do-by-yourself approach to learning - learn the concepts, practice the code snippets in Scala, and complete the assignments given to;
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the Scalding framework. It is packed with examples featuring log-processing, ad-targeting, and machine learning. This book is for developers;
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hassle. This Learning Path includes content from the following Packt products: Mastering Apache Spark 2.x by Romeo Kienzler Scala and Spark for;
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infrastructure investment, and Spark's core abstractions are intuitive for most Scala, Java, and Python developers. Spark in Action;
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Data is getting bigger, arriving faster, and coming in varied formats-and it all needs to be processed at scale for analytics or machine;
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DESCRIPTION Scala is a new hybrid object-oriented/functional language written for the Java Virtual Machine (JVM). The Scala type system;
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starts up fast, without the sluggish warm-up phase that's common for just-in-time compilers. Scala Native programs can seamlessly invoke;
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Gain practical skills in machine learning for finance, healthcare, and retail. This book uses a hands-on approach by providing case studies;
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mechanisms for process and deployment. Seasoned database professionals looking to make the leap into machine learning as a growth path will find much;
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Learn how to be more productive with Scala, a new multi-paradigm language for the Java Virtual Machine (JVM) that integrates features;
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A guide to advances in machine learning for financial professionals, with working Python code Key Features Explore advances in machine;
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learning. It points out the difference between the techniques and their suitability for specific applications. This book also describes different;
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the fundamental materials, background, and simple machine learning algorithms, as the preparation for studying machine learning algorithms;
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. Many applications on iPhone use machine learning: Siri to serve voice-based requests, the Photos app for facial recognition, and Facebook to;
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NoSQL databases with the help of tutorials and examples provided Who This Book Is For If you are a Scala developer or data scientist, or;
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. Human-in-the-Loop Machine Learning is a practical guide to optimizing the entire machine learning process, including techniques for annotation;
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Python makes machine learning easy for beginners and experienced developers With computing power increasing exponentially and costs;
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DescriptionScikit-learn is a robust machine learning library for the Python programming language. It provides a set of supervised and unsupervised learning;
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and deploy machine learning models to the Amazon Web Services (AWS) cloud Learn all about the AWS services available for machine learning;
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Reinforcement and Systemic Machine Learning for Decision Making explores a newer and growing avenue of machine learning algorithm in the;
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