Check out the most inspirational books for aspiring data scientists in this blog post.
Read Peter Bruce's book Practical Statistics for Data Scientists: 50 Essential Concepts. Published on 2017-05-10 by O'Reilly Media. #SoftwareDesign #Testing #Engineering #Testing | Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic...
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Check out the most inspirational books for aspiring data scientists in this blog post.
There's a lot of discussion about what we can do with data but precious little about what we should or shouldn't do with data. Learn more with these top data ethics books.
Drawing a QQ plot from scratch
There exist so many great computational tools available for Data Scientists to perform their work. However, mathematical skills are still essential in data science and machine learning because these tools will only be black-boxes for which you will not be able to ask core analytical questions without a theoretical foundation.
Check out the most inspirational books for aspiring data scientists in this blog post.
If you're going to be a data scientist, you're going to need to be really good at statistics. Here's a list of our favourite FREE Statistics books to get your started or improve your stats skills.
If you're going to be a data scientist, you're going to need to be really good at statistics. Here's a list of our favourite FREE Statistics books to get your started or improve your stats skills.
If you're going to be a data scientist, you're going to need to be really good at statistics. Here's a list of our favourite FREE Statistics books to get your started or improve your stats skills.
If you're going to be a data scientist, you're going to need to be really good at statistics. Here's a list of our favourite FREE Statistics books to get your started or improve your stats skills.
There are lots of books for getting started with Python, so where should you start? In this blog post, we bring you our list of the best FREE Python books for Data Science we've found.
If you want to be a data scientist but you're not sure how to get started with Python, the 3 books in this blog post will help you make your first steps.
If you want to be a data scientist but you're not sure how to get started with R, the 3 books in this blog post will help you make your first steps.
If you're going to be a data scientist, you're going to need to be really good at statistics. Here's a list of our favourite FREE Statistics books to get your started or improve your stats skills.
The best data visualisation books. Learn how to choose the right chart for the right data. Perfect for anyone that works with data - and everyone else!
If you want to be a data scientist but you're not sure how to get started with Machine Learning, the machine learning books in this blog post will help you make your first steps.
If you're new to Data Science or moving to it from another discipline you might find it quite bewildering. These 3 books will help you get started.
Check out the most inspirational books for aspiring data scientists in this blog post.
The best data visualisation books. Learn how to choose the right chart for the right data. Perfect for anyone that works with data - and everyone else!
There are lots of books for getting started with Python, so where should you start? In this blog post, we bring you our list of the best FREE Python books for Data Science we've found.
If you're going to be a data scientist, you're going to need to be really good at statistics. Here's a list of our favourite FREE Statistics books to get your started or improve your stats skills.
The best data visualisation books. Learn how to choose the right chart for the right data. Perfect for anyone that works with data - and everyone else!
Explore the world of Data Science with these FREE Data Science Books. In this blog post, you'll find a curated list of FREE ebooks on Data Science every Data Scientist should read. Check them out!
Here's a list of some Great Python courses for anybody wanting to learn Python for data science.
Learn 5 great data cleaning techniques to improve data quality and help you build a simple data cleansing strategy that is quick, easy to follow and really works.
Check out some of the most Popular Statistics courses from Udemy for beginner data scientists in this blog post!
Lifelong learning is essential for personal growth and professional success. We present seven must-read books for data scientists.
Introduction to python for econometrics statistics and data analysis: Python is a versatile programming language that is widely used for econometrics, statistics, and data analysis.
If you want to be a data scientist but you're not sure how to get started with Python, the 3 books in this blog post will help you make your first steps.
Explore the world of Data Science with these FREE Data Science Books. In this blog post, you'll find a curated list of FREE ebooks on Data Science every Data Scientist should read. Check them out!
Explore the world of Data Science with these FREE Data Science Books. In this blog post, you'll find a curated list of FREE ebooks on Data Science every Data Scientist should read. Check them out!
Lifelong learning is essential for personal growth and professional success. We present seven must-read books for data scientists.
With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many software engineers. This book provides a comprehensive introduction for data scientists and software engineers with machine learning experience. You'll start with deep learning basics and move quickly to the details of important advanced architectures, implementing everything from scratch along the way.Author Seth Weidman shows you how neural networks work using a first principles approach. You'll learn how to apply multilayer neural networks, convolutional neural networks, and recurrent neural networks from the ground up. With a thorough understanding of how neural networks work mathematically, computationally, and conceptually, you'll be set up for success on all future deep learning projects.This book provides: Extremely clear and thorough mental models--accompanied by working code examples and mathematical explanations--for understanding neural networks Methods for implementing multilayer neural networks from scratch, using an easy-to-understand object-oriented framework Working implementations and clear-cut explanations of convolutional and recurrent neural networks Implementation of these neural network concepts using the popular PyTorch framework Binding Type: PaperbackAuthor: Seth WeidmanPublisher: O'Reilly MediaPublished: 10/01/2019ISBN: 9781492041412Pages: 252Weight: 0.90lbsSize: 9.19h x 7.00w x 0.53d
Lifelong learning is essential for personal growth and professional success. We present seven must-read books for data scientists.
Explore the world of Data Science with these FREE Data Science Books. In this blog post, you'll find a curated list of FREE ebooks on Data Science every Data Scientist should read. Check them out!
Explore the world of Data Science with these FREE Data Science Books. In this blog post, you'll find a curated list of FREE ebooks on Data Science every Data Scientist should read. Check them out!
If you're making the switch to Data Science, you need to update your Statistics knowledge. Check out the best Statistics Books for Beginner Data Scientist.
There's a lot of discussion about what we can do with data but precious little about what we should or shouldn't do with data. Learn more with these top data ethics books.
Check out the most inspirational books for aspiring data scientists in this blog post.
