Data Science and Machine Learning Interview Questions Using R: Crack the Data Scientist and Machine Learning Engineers Interviews with Ease (English E Bpb Publications

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A collection of Advanced Data Science and Machine Learning Interview Questions Solved in Python and Spark (II): Hands-on Big Data and Machine Learning Createspace Independent Publishing Platform

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A collection of Machine Learning interview questions in Python and Spark

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Machine Learning with Python: Understanding Machine Learning with Python in the World of Data Science

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Business Intelligence: An Essential Beginner's Guide to BI, Big Data, Artificial Intelligence, Cybersecurity, Machine Learning, Data Science, Independently Published

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Do you want to learn about business intelligence but don't feel like reading a boring textbook? In the modern business world, the pace of action continues to quicken. Businesses need to be able to get actionable insights from their data in order

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Becoming a Data Head - How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning John Wiley & Sons Inc

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"Turn yourself into a Data Head. You'll become a more valuable employee and make your organization more successful." Thomas H. Davenport, Research Fellow, Author of Competing on Analytics, Big Data @ Work, and The AI Advantage You've heard the hype around data--now get the facts. In Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning, award-winning data scientists Alex Gutman and Jordan Goldmeier pull back the curtain on data science and give you the language and tools necessary to talk and think critically about it. You'll learn how to: * Think statistically and understand the role variation plays in your life and decision making * Speak intelligently and ask the right questions about the statistics and results you encounter in the workplace * Understand what's really going on with machine learning, text analytics, deep learning, and artificial intelligence * Avoid common pitfalls when working with and interpreting data Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you'll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently readable book. Anyone can become a Data Head--an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you.

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Python for Data Science: Deep Machine Learning Algorithms in Python and Artificial Intelligence. Crash Course to Measure Value of Big Data and Independently Published

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If you are tired of reading without understanding and want to learn the value of big data and artificial intelligence simply and quickly, then keep reading... Today 91% of Python programmers are not quite prepared.

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Machine Learning Algorithms & Markov Models Supervised And Unsupervised Learning with Python & Data Science 2 Manuscripts in 1 Book Createspace Independent Publishing Platform

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2 Books in 1Do not miss out on the bundle book offer 300+ pages of valuable content What You'll Learn Book 1 Machine Learning You will learn the fundamentals of machine learning from algorithms, python, supervised

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Machine Learning Algorithms Markov Models Supervised and Unsupervised Learning with Python Data Science 2 Manuscripts in 1 Book

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Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science IGI Global

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Machine Learning and Data Science Blueprints for Finance O'Reilly Media, Inc, USA

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Hands-On Data Science and Python Machine Learning Packt Publishing Limited

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The job of a data scientist is one of the most lucrative jobs out there today - it involves analyzing large amounts of data, and gathering actionable business insights from it using a variety of tools. This book empowers you to conduct data analysis and perform efficient machine learning using Python.

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Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions McGraw-Hill Education

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Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.Use machine learning to understand your

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Introduction to Statistical and Machine Learning Methods for Data Science SAS Institute

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Scaling Python with Dask: From Data Science to Machine Learning OREILLY MEDIA

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Machine Learning Governance for Data Science Managers Springer, Berlin

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Machine Learning Governance for Data Science Managers provides readers with the knowledge to unlock insights from data and leverage AI solutions. In today's business landscape, most organizations face challenges in scaling and maintaining a sustainable machine learning model lifecycle. This book offers a comprehensive framework that covers business requirements, data generation and acquisition, modeling, model deployment, and management, providing a range of methodologies, technologies, and resources to assist data science managers in adopting data and AI-driven practices.Readers will learn sustainable tools for implementing machine learning with existing IT and privacy policies, including versioning all models, creating documentation, monitoring models and their results, and assessing their causal business impact. By overcoming these challenges, bottom-line gains from AI investments can be realized.Organizations that implement all aspects of AI/ML model governance can achieve a high level of control and visibility over how models perform in production, leading to improved operational efficiency and a higher ROI on AI investments. Machine Learning Governance for Data Science Managers helps to effectively control model inputs and understand all the variables that may impact your results. Don't let challenges in machine learning hinder your organization's growth - unlock its potential with this essential guide.

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