The Beginner’s Guide to Data Science
Author | : Jason Brownlee |
Publisher | : Machine Learning Mastery |
Total Pages | : 172 |
Release | : 2024-03-27 |
ISBN-10 | : |
ISBN-13 | : |
Rating | : 4/5 ( Downloads) |
Download or read book The Beginner’s Guide to Data Science written by Jason Brownlee and published by Machine Learning Mastery. This book was released on 2024-03-27 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today’s data-driven world, businesses and industries constantly seek insights to drive innovation, enhance decision-making, and stay ahead of the curve. Data science is not just a skill but a superpower that empowers you to extract meaningful patterns and knowledge from raw data, unlocking limitless opportunities. The theme of data science is to tell a story from data. There are many tools to help you build a narrative, but you should be focused on something other than the tool since the end is more important than the means. If you are a beginner, how should you embark on data science? You can learn many models, read many examples, and eventually gain the right mindset to handle a data science project. You can also learn the data science mindset first and then learn models that fit the picture when needed. The Beginner’s Guide to Data Science is your gateway to learn the data science mindset from examples. This ebook is written in the engaging and approachable style you are familiar with from Machine Learning Mastery. Discover exactly how to start and what the thought process is in dealing with a data science project.