PDF Practical Machine Learning

PDF Practical Machine Learning

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About This BookFully-coded working examples using a wide range of machine learning libraries and tools, including Python, R, Julia, and SparkComprehensive practical solutions taking you into the future of machine learningGo a step further and integrate your machine learning projects with HadoopWho This Book Is ForThis book has been created for data scientists who want to see Machine learning in action and explore its real-world applications. Knowledge of programming (Python and R) and mathematics is advisable if you want to get started immediately.What You Will LearnImplement a wide range of algorithms and techniques for tackling complex dataGet to grips with some of the most powerful languages in data science, including R, Python, and JuliaHarness the capabilities of Spark and Mahout used in conjunction with Hadoop to manage and process data successfullyApply the appropriate Machine learning technique to address a real-world problemGet acquainted with deep learning and find out how neural networks are being used at the cutting edge of Machine learningExplore the future of Machine learning and dive deeper into polyglot persistence, semantic data, and moreIn DetailThis book explores an extensive range of Machine learning techniques, uncovering hidden tips and tricks for several types of data using practical real-world examples. While Machine learning can be highly theoretical, this book offers a refreshing hands-on approach without losing sight of the underlying principles.We will cover the leading data science languages, Python and R, and the underrated but powerful Julia, as well as a range of big data platforms including Spark, Hadoop, and Mahout. Practical Machine Learning is an essential resource for modern data scientists who want to get to grips with Machine learning's real-world application.The book also explores cutting-edge advances in Machine learning, with worked examples and guidance on Deep learning and Reinforcement learning, providing you with practical demonstrations and samples that help take the theoryand mysteryout of even the most advanced Machine learning methodologies. Computer Science 294: Practical Machine Learning - People Computer Science 294 Practical Machine Learning (Fall 2009) Prof Michael Jordan (jordan-AT-cs) Lecture: Thursday 5-7pm Soda 306 Office hours of the lecturer of the Data Mining: Practical Machine Learning Tools and Techniques Machine learning provides an exciting set of technologies that includes practical tools for analyzing data and making predictions but also powers the latest Data Mining: Practical Machine Learning Tools and Purchase Data Mining: Practical Machine Learning Tools and Techniques - 3rd Edition Print Book & E-Book ISBN 9780123748560 9780080890364 Practical Machine Learning: Innovations in Recommendation Practical Machine Learning: Innovations in Recommendation Ted Dunning & Ellen Friedman Machine Learning is a critical tool used for gaining actionable insight more Reviews for Practical Machine Learning from Coursera This was certainly a practical overview of machine learning techniques Receive email updates for "Practical Machine Learning" Never miss a course Practical Machine Learning - I was looking for a book that covered Machine Learning from a practical hands on perspective and the "Practical Machine Learning" title certainly looked promising Coursera - Practical Machine Learning - student reviews 14 reviews for Practical Machine Learning online course Learn the basic components of building and applying prediction functions with an emphasis on practical Practical machine learning: methods and algorithmics - CBCB Practical machine learning Machine Learning methods have found their way into the modern data analyst's toolbox This course introduces popular methods with an Practical Machine Learning - Johns Hopkins University Practical Machine Learning from Johns Hopkins University One of the most common tasks performed by data scientists and data analysts are Practical Machine Learning PACKT Books Learn how to build Machine Learning applications to solve real-world data analysis challenges with this Machine Learning book packed with practical tutorials
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