November 1

Free Data Science eBooks – November 2018

Ebooks, Blog, Resources


Got your Christmas shopping done yet?

Nope, me neither - I usually don't start until about 24th December...

In which case, you've got plenty of time to devour the latest set of FREE Data Science books on offer.

This month, our first offering is not actually a Data Science book, but is still very relevant to Data Scientists. It's all about being a modern scientist and everything that entails, using social media and other online tools to maximise the exposure of your research.

The other two books are about data analysis and deep learning, and I hope you find them useful.



Free data science ebooks November 2018

This month we highlight 3 books:

  • How to be a Modern Scientist
  • R Deep Learning Essentials
  • Putting it all Together: Essays on Data Analysis

They're all FREE, so help yourselves...

Disclosure: The FREE ebooks were free to download at the time of posting but other links in this post may contain affiliate links. As Amazon Associates we may earn from qualifying purchases.

​​You can find further details in our TCs

How to be a modern scientist

The face of academia is changing. It is no longer sufficient to just publish or perish. We are now in an era where Twitter, Github, Figshare, and Alt Metrics are regular parts of the scientific workflow. Here I give high level advice about which tools to use, how to use them, and what to look out for. This book is appropriate for scientists at all levels who want to stay on top of the current technological developments affecting modern scientific careers.

The book is probably most suited to graduate students and postdocs in the sciences, but may be of interest to others who want to adapt their scientific process to use modern tools. 

R Deep Learning Essentials

Deep learning is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data by using model architectures. With the superb memory management and the full integration with multi-node big data platforms, the H2O engine has become more and more popular among data scientists in the field of deep learning.

This book will introduce you to the deep learning package H2O with R and help you understand the concepts of deep learning. We will start by setting up important deep learning packages available in R and then move towards building models related to neural networks, prediction, and deep prediction, all of this with the help of real-life examples.

Putting it all together - Essays in Data Analysis

What is a data analysis? What makes for a successful data analysis? These are difficult questions that even long-time practitioners have difficulty answering. The way that we have thought about data analysis to date has been focused on the data and the statistical tools that we employ to produce results. But data analysis is about more than those things, and developing an understanding of the things "outside" the data is critical to characterizing the actual process of data analysis, the process that data analysts go through every day.

This book attempts to draw a more complete picture of the data analysis process and presents a new view about what makes for a successful data analysis. It is presented in a completely non-technical and highly readable style that should be of interest to practitioners and managers in data analysis.

Related Udemy Video Courses

Below are a few related Udemy courses that we recommend. They are by no means the only ones - there are LOADS more, and if these don't tickle your fancy, just click through. I'm sure you'll find something that does.

*NOTE - Udemy have usually got a sale on, and prices are then slashed from around 200 £/$/Euro to around 10 £/$/Euro, just click through to get the latest prices!

Free data science ebooks November 2018

Free data science ebooks November 2018

Free data science ebooks November 2018


free ebooks, resources

You may also like

Awesome Gifts for Data Scientists

3 Types of Neural Networks Explained

How to Learn Python for Data Science

The Best Statistics Courses Online – Our Picks

The Best Data Science Courses Online

Computational Statistics is the New Holy Grail – Experts

Data Ethics – Top 3 Books for Data Scientists

3 Essential Python Books for Data Science

Top 3 Books on Statistics for Data Science

3 Crucial Tips for Data Processing and Analysis

Free Must-Read Statistics Books for Aspiring Data Scientists

Correlation Is Not Causation – Pirates Prove It!

Fantastic Free Data Science Books for Aspiring Data Scientists

21 Inspiring Books to Get Started in Data Science

Statistical Hypothesis Testing – 4 Steps to the Correct Test

4 Types of Data in Statistics – Definitions, Uses & Examples

{"email":"Email address invalid","url":"Website address invalid","required":"Required field missing"}
__CONFIG_local_colors__{"colors":{"4ceba":"Royal Blue"},"gradients":{}}__CONFIG_local_colors__

Machine Learning Models:

The Big Picture

FREE Ultra HD pdf

Download your FREE mind map to learn about the different types of ML models in Machine Learning.

__CONFIG_colors_palette__{"active_palette":0,"config":{"colors":{"b8c9c":{"name":"Main Accent","parent":-1}},"gradients":[]},"palettes":[{"name":"Default Palette","value":{"colors":{"b8c9c":{"val":"rgb(255, 255, 255)"}},"gradients":[]},"original":{"colors":{"b8c9c":{"val":"rgb(19, 114, 211)","hsl":{"h":210,"s":0.83,"l":0.45}}},"gradients":[]}}]}__CONFIG_colors_palette__
Get it Now !!!
Do NOT follow this link or you will be banned from the site!