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Python Machine Learning Case Studies

of Python from a machine learning point of view Who This Book Is For Data scientists, data analysts, artificial intelligence engineers, big data;

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Human-in-the-Loop Machine Learning

* Real-world use cases from well-known data scientists For software developers and data scientists with some basic Machine Learning;

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Machine Learning

Machine Learning: An Artificial Intelligence Approach contains tutorial overviews and research papers representative of trends in the area;

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Machine Learning for Computer Scientists and Data Analysts

helps readers to understand the concepts of ML algorithms and enables them to develop the skills necessary to choose an apt ML algorithm for a;

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Applications of Machine Learning in Big-Data Analytics and Cloud Computing

reference for Data Scientists, systems architects, developers, new researchers and graduate level students in Computer and Data science. The book;

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Building Machine Learning Systems with Python

reinforcement learning Who this book is forBuilding Machine Learning Systems with Python is for data scientists, machine learning developers, and;

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SQL for Data Scientists - A Beginner's Guide for Building Datasets for Analysis

Jump-start your career as a data scientist-learn to develop datasets for exploration, analysis, and machine learning SQL for Data;

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Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization;

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ICDSMLA 2019

and various data science & machine learning applications. It brings together scientists and researchers from different universities and;

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Machine Learning for Time Series Forecasting with Python

concepts, such as stationarity, horizon, trend, and seasonality Prepare time series data for modeling Evaluate time series forecasting models;

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Time Series Clustering and Classification

The beginning of the age of artificial intelligence and machine learning has created new challenges and opportunities for data analysts;

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Time Series Clustering and Classification

The beginning of the age of artificial intelligence and machine learning has created new challenges and opportunities for data analysts;

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Handbook of Research on Applications and Implementations of Machine Learning Techniques

learning algorithms for data analytics. The content within this publication examines disease identification, neural networks, and language support;

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Practical Machine Learning in R

computer algorithms. Bestselling author and data analytics experts Fred Nwanganga and Mike Chapple explain what machine learning;

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R Deep Learning Essentials

computer vision and text Apply deep learning techniques in cloud for large-scale processing Build, train, and optimize neural network models on a;

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Machine Learning and Artificial Intelligence in Marketing and Sales

practitioner and the data scientist perspective. Rather than a context-free introduction to AI and machine learning, data scientists implementing these;

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Machine Learning in Bioinformatics

Learning in Bioinformatics is an indispensable resource for computer scientists, engineers, biologists, mathematicians, researchers, clinicians;

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Emerging Trends in IoT and Integration With Data Science

data platforms for analytics. However, there are challenges that IoT-based applications face including design and implementation issues;

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Challenges and Applications for Implementing Machine Learning in Computer Vision

efficiency of current methods that enable machines to see. Challenges and Applications for Implementing Machine Learning in Computer Vision is a;

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Challenges and Applications for Implementing Machine Learning in Computer Vision

efficiency of current methods that enable machines to see. Challenges and Applications for Implementing Machine Learning in Computer Vision is a;

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Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science

machine learning models, which in turn causes better prediction and analysis of results. Data science is crucial for the data scientist to assess;

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Document Processing Using Machine Learning

Document Processing Using Machine Learning aims at presenting a handful of resources for students and researchers working in the document;

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Mastering Azure Machine Learning

choose the right Azure service for different ML tasks. It then focuses on Azure Machine Learning and takes you through the process of data;

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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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Applied Machine Learning for Health and Fitness

Explore the world of using machine learning methods with deep computer vision, sensors and data in sports, health and fitness and other;

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Applications of Big Data in Large- and Small-Scale Systems

reference tool for computer scientists, data scientists and analysts, engineers, practitioners, stakeholders, researchers, academicians, and;

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Applications of Big Data in Large- and Small-Scale Systems

reference tool for computer scientists, data scientists and analysts, engineers, practitioners, stakeholders, researchers, academicians, and;

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