Data Science The Hard Parts Book [PDF] Download

Download the fantastic book titled Data Science The Hard Parts written by Daniel Vaughan, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Data Science The Hard Parts", which was released on 01 November 2023. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Data Science The Hard Parts by Daniel Vaughan PDF

This practical guide provides a collection of techniques and best practices that are generally overlooked in most data engineering and data science pedagogy. A common misconception is that great data scientists are experts in the "big themes" of the discipline—machine learning and programming. But most of the time, these tools can only take us so far. In practice, the smaller tools and skills really separate a great data scientist from a not-so-great one. Taken as a whole, the lessons in this book make the difference between an average data scientist candidate and a qualified data scientist working in the field. Author Daniel Vaughan has collected, extended, and used these skills to create value and train data scientists from different companies and industries. With this book, you will: Understand how data science creates value Deliver compelling narratives to sell your data science project Build a business case using unit economics principles Create new features for a ML model using storytelling Learn how to decompose KPIs Perform growth decompositions to find root causes for changes in a metric Daniel Vaughan is head of data at Clip, the leading paytech company in Mexico. He's the author of Analytical Skills for AI and Data Science (O'Reilly).


Detail About Data Science The Hard Parts PDF

  • Author : Daniel Vaughan
  • Publisher : "O'Reilly Media, Inc."
  • Genre : Computers
  • Total Pages : 257 pages
  • ISBN : 1098146441
  • PDF File Size : 16,9 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Data Science: The Hard Parts

Data Science: The Hard Parts
  • Publisher : "O'Reilly Media, Inc."
  • File Size : 47,9 Mb
  • Release Date : 01 November 2023
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This practical guide provides a collection of techniques and best practices that are generally overlooked in most data engineering and data science pedagogy. A common misconception is that great data

Data Science: The Hard Parts

Data Science: The Hard Parts
  • Publisher : "O'Reilly Media, Inc."
  • File Size : 33,5 Mb
  • Release Date : 01 November 2023
GET BOOK

This practical guide provides a collection of techniques and best practices that are generally overlooked in most data engineering and data science pedagogy. A common misconception is that great data

Software Architecture: The Hard Parts

Software Architecture: The Hard Parts
  • Publisher : "O'Reilly Media, Inc."
  • File Size : 20,8 Mb
  • Release Date : 23 September 2021
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There are no easy decisions in software architecture. Instead, there are many hard parts--difficult problems or issues with no best practices--that force you to choose among various compromises. With this

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Data Science in Context
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  • File Size : 34,6 Mb
  • Release Date : 20 October 2022
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Data science is the foundation of our modern world. It underlies applications used by billions of people every day, providing new tools, forms of entertainment, economic growth, and potential solutions

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  • Release Date : 24 March 2020
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Summary You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how

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  • Publisher : Createspace Independent Publishing Platform
  • File Size : 52,7 Mb
  • Release Date : 01 November 2018
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Did you know that the value of data usage has increased job opportunities, but that there are few specialists? These days, everyone is aware of the role that data can

The Data Science Handbook

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  • Publisher : John Wiley & Sons
  • File Size : 44,7 Mb
  • Release Date : 28 February 2017
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Learn the basics of Data Science through an easy to understand conceptual framework and immediately practice using RapidMiner platform. Whether you are brand new to data science or working on

Responsible Data Science

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  • File Size : 26,8 Mb
  • Release Date : 21 April 2021
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Explore the most serious prevalent ethical issues in data science with this insightful new resource The increasing popularity of data science has resulted in numerous well-publicized cases of bias, injustice,