Data Science The Hard Parts is popular PDF and ePub book, written by Daniel Vaughan in 2023-11, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Data Science The Hard Parts can be Read Online from any device for your convenience.
Data Science The Hard Parts Book PDF Summary
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 Book of Data Science The Hard Parts PDF
- Author : Daniel Vaughan
- Release : 01 November 2023
- Publisher : "O'Reilly Media, Inc."
- ISBN : 9781098146443
- Genre : Computers
- Total Page : 257 pages
- Language : English
- PDF File Size : 20,9 Mb
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