Today’s Top reads in Data Science by Floatint

(www.floatint.com) –

Beginner :

1. Why data analysts should choose stories over statistics?

Data storytelling is one of the most important skills you can obtain and develop into today’s data economy.

An advice for analysts entering the field-

Read at: https://www.kdnuggets.com/2019/09/crunch-data-analysts-stories-over-statistics.html

2. Did machine learning suddenly become a hype?

To answer this we have to see what happened in the last two decades that caused this change

Read at: https://towardsdatascience.com/when-machine-learning-meets-big-data-4923091ba140

Intermediate :

1. Notes from the AI frontier insights from hundreds of use cases –

Find interesting insights on algorithm used in different industries

Read at: https://mck.co/2WHYJjU

2. 5 Graph algorithms Data Scientists should know –

Read at :https://www.kdnuggets.com/2019/09/5-graph-algorithms-data-scientists-know.html

Advanced :

1. What’s new in Python 3.8?

i) The walrus operator

ii) Positional-only arguments

iii) f-strings now support “=”

Read more at: https://deepsource.io/blog/python-3-8-whats-new/

2. Man is to Computer Programmer as Woman is to Homemaker?

Debiasing Word Embeddings in this interesting research paper –

Read at: https://arxiv.org/pdf/1607.06520.pdf