LIVRO Java Data Science Cookbook PDF Rushdi Shams

Key FeaturesThis book provides modern recipes in small steps to help an apprentice cook become a master chef in data scienceUse these recipes to obtain, clean, analyze, and learn from your dataLearn how to get your data science applications to production and enterprise environments effortlesslyBook DescriptionIf you are looking to build data science models that are good for production, Java is here to the rescue. With the aid of strong libraries such as MLlib, Weka, DL4j, and more, you can perform all the data science tasks you need to efficiently.This unique book provides modern recipes to solve your common and not-so-common data science related problems. We start with recipes to help you obtain, clean, index, and search data. Then you will learn variety of techniques to analyze, learn, and retrieve information from data. You will also understand how to handle big data, learn deeply from data, and visualize data. Finally, you will work through unique recipes that solve your problems while taking data science to production, writing distributed data science applications, and much more—things that will come in handy at work.What you will learnFind out how to clean and make datasets ready so you can acquire actual insights by removing noise and outliersDevelop the skills to use modern machine learning techniques to retrieve information and transform data to knowledge. retrieve information from large amount of data in text format.Familiarize yourself with cutting-edge techniques to store and search large volumes of data and retrieve information from large amounts of data in text formatDevelop basic skills to apply big data and deep learning technologies on large volumes of dataEvolve your data visualization skills and gain valuable insights from your dataGet to know a step-by-step formula to develop an industry-standard, large-scale, real-life data productGain the skills to visualize data and interact with users through data insightsAbout the AuthorRushdi Shams gained a PhD in Text Analytics, Data Mining, Natural Language Processing, and Machine Learning from The University of Western Ontario. He has teaching experience of 4 years, is a YouTube Partner and has a channel named Learn with Rushdi, which has more than half a million views. He currently works as a Product Innovation Specialist at Sustainalytics.