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Practical Data Science with SAP Machine Learning Techniques for Enterprise Data

Are you using SAP ERP and eager to unlock the enormous value of its data? With this practical guide, SAP veterans Greg Foss and Paul;

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Machine Learning with SAP

Work smarter with machine learning! Begin with core machine learning concepts-types of learning, algorithms, data preparation, and more;

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Practical Machine Learning

learning techniques uncovering hidden tricks and tips for several types of data using practical and real-world examples. While machine learning can;

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Mastering Java Machine Learning

tools in a wide range of techniques, with code and practical usage. * More than 10 real-world case studies in machine learning highlighting;

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Introduction to Data Science

field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and;

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Data Science Solutions on Azure

Who This Book Is For Data Scientists looking to deploy end-to-end solutions on Azure with latest tools and techniques.;

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Data Science Solutions on Azure

Who This Book Is For Data Scientists looking to deploy end-to-end solutions on Azure with latest tools and techniques.;

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Introduction to Machine Learning with Python

encapsulating your workflow Methods for working with text data, including text-specific processing techniques Suggestions for improving your machine;

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Productive and Efficient Data Science with Python

bottlenecks lurking in the daily business process and solve them with practical solutions. Automation of repetitive data science tasks is a key;

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Productive and Efficient Data Science with Python

bottlenecks lurking in the daily business process and solve them with practical solutions. Automation of repetitive data science tasks is a key;

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Mastering Scala Machine Learning

REPL * Apply standard and advanced machine learning techniques using Scala * Get acquainted with Big Data technologies and grasp why we need;

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Hands-On Data Science and Python Machine Learning

This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale;

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Python Machine Learning -

is an essential and unmissable resource. Written for developers and data scientists who want to create practical machine learning and deep;

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Practical Machine Learning Cookbook

machine-learning systems Who This Book Is For This book is for analysts, statisticians, and data scientists with knowledge of fundamentals;

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Oracle Business Intelligence with Machine Learning

representations of input data suitable for a given prediction problem. This book focuses on the practical aspects of implementing machine learning;

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Smart Data

related to smart data computing and applications, including new computing theories, data mining and machine learning techniques. The book features;

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Machine Learning and Data Science

techniques required to excel with statistical learning methods in the areas of data access, data munging, exploratory data analysis, supervised;

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Java

set of topics - from the basics of Machine Learning to Deep Learning and Big Data frameworks. Who This Book Is For This course is meant for;

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Applied Machine Learning for Smart Data Analysis

such as machine learning, security, IoT and data mining, the concepts are explained with practical implementation including results. Key;

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Advanced Machine Learning with Python

- all whilst working with real-world applications that include image, music, text, and financial data. The machine learning techniques covered;

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Practical Machine Learning for Data Analysis Using Python

Practical Machine Learning for Data Analysis Using Python is a problem solver's guide for creating real-world intelligent systems. It;

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Industry 4.0, AI, and Data Science

everywhere hybrid models for Data Science, Al, and Machine Learning are being used. The book describes different theoretical and practical aspects;

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Machine Learning with R, tidyverse, and mlr

Machine Learning with R, tidyverse, and mlr teaches readers how to gain valuable insights from their data using the powerful R programming;

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Foundational Python for Data Science

through the process of learning to code for the first time with Python and Jupyter notebook, then introduces key libraries every Python data;

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Spark for Data Science

Analyze your data and delve deep into the world of machine learning with the latest Spark version, 2.0 About This Book * Perform data;

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Foundations of Data Science for Engineering Problem Solving

intelligence, machine learning, data science and big data analytics to look for new techniques in business analytics and applications of artificial;

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Foundations of Data Science for Engineering Problem Solving

intelligence, machine learning, data science and big data analytics to look for new techniques in business analytics and applications of artificial;

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