Who is No 1 data scientist in the world?

Yann LeCun He is well known as the Director of AI Research at Facebook, but has made industry changing inventions that earned him a spot at the top of the list for best data scientists in the world.

How do I write a data science blog?

  1. Select your domain. There are multiple things even in Data Science that you can blog about.
  2. Research. If you think of a certain topic, there are tons of articles probably with the same title as you thought of on the internet.
  3. Understand your audience.
  4. Submit to a publication.
  5. Monitor your metrics.
  6. Be patient.

Why are data scientists called unicorns?

Data scientists, sometimes called “unicorns” because of their unique blend of skills from multiple fields combined with fact that they are hard to find (at least ones who perfectly match a particular need), are increasingly in high demand throughout industry [1, 2].

What are some cool data science projects?

Latest Data Science Project Ideas

  • 1.1 Climate Change Impacts on the Global Food Supply.
  • 1.2 Fake News Detection.
  • 1.3 Human Action Recognition.
  • 1.4 Forest Fire Prediction.
  • 1.5 Road Lane Line Detection.
  • 2.1 Recognition of Speech Emotion.
  • 2.2 Gender and Age Detection with Data Science.
  • 2.3 Driver Drowsiness Detection in Python.

Who is the father of data science?

The term “data science” has been traced back to 1974, when Peter Naur proposed it as an alternative name for computer science. In 1996, the International Federation of Classification Societies became the first conference to specifically feature data science as a topic.

How many female data scientists are there?

Data Scientist Statistics By Gender Among Data Scientists, 20.4% of them are women compared to 79.6% which are men.

What is Data Science Central?

Data Science Central LLC (www.datasciencecentral.com) is a niche digital publishing and media company operating the leading and fast growing Internet community for data science, machine learning, deep learning, big data, predictive and business analytics practitioners.

How do you write a data science paper?

Summary

  1. firstly write the abstract and the title.
  2. search for similar work and write the related work section.
  3. write the introduction.
  4. write the other sections.
  5. review the paper.
  6. submit the paper.

What is a data unicorn?

These are people who top up the core data chops with skills in statistics and machine learning. While they are the authority in devising the analytics approach and building out models, they leverage their basic programming skills and domain orientation to implement and evaluate model interpretability.

What is Unicorn in computer science?

A unicorn, in an investment context, is a tech startup that is assessed at a valuation of $1 billion or more; companies valued at more than $10 billion are sometimes called decacorns and those valued over $100 billion are called super unicorns.

Why is Python popular for data science projects?

Python has a very simple syntax, and it makes programming a lot easier and faster. There is no need for curly braces when writing functions, no semicolon is your enemy, and you don’t even need to import libraries before you write basic code. This is one advantage Python has over other programming languages.