Data Science Boom

2022-03-02 19:48:10 My name is Andriy Velihotskyi and I am Ukrainian. I am the author of DSB.

I am proud to live in Ukraine, however, at the moment my country is going through the War with Russian Federation.

On 24 February 2022, Russia launched a large-scale military invasion of Ukraine. While our army is fighting strongly against one of the biggest countries in the world, we need help.
This is my call to action. We must stop the war in Ukraine!

You can help in numerous ways:
1. Donate money for our Army needs:
- https://uahelp.monobank.ua
- https://bank.gov.ua/en/news/all/natsionalniy-bank-vidkriv-spetsrahunok-dlya-zboru-koshtiv-na-potrebi-armiyi
- https://putler.io
2. Join a protest in your city against Russian aggression
3. Host Ukrainians and help locally
4. Check more details specific to your country here:
- https://supportukrainenow.org/
- https://ukraine.ua/news/stand-with-ukraine/

We really need your support! Glory to Ukraine!
#supportukraine #standwithukraine Open / Comment

2020-07-14 12:28:28 Technologication Business Conference

On July 15, at the Technologication online conference, we will speak with Amazon Web Services, Booking, Microsoft and Genesis Investment about new approaches to business transformation. We are waiting for an intensive 6 hours of cases of companies that have survived more than one crisis, and many times "re-assembled" their business.

What are we going to talk about?
• “Amazon's Culture of Innovation,” - Attila Lengyel, Digital Innovation Senior BDM at Amazon Web Services EMEA.
• "The 7 powers of Machine Learning" - Lucas Bernardi, Principal Data Scientist at Booking.com.
• "Turning Crisis Into Opportunities In Startups and VC" - Elena Mazhuha, Investment Manager at Genesis Investments.
• "Technology: business in a new way", - Grigory Bakunov, VP of Technology at Parimatch.
• “How Microsoft is Putting Responsible AI into Practice” - Xiaopeng Li, Data & AI Business Lead at Microsoft.

Who will be interested?
Entrepreneurs, IT departments, business development and marketing departments.

When: July 15, 15:00 to 21:00 EEST
Where: online
Participation is free by prior registration: https://bit.ly/Technologication Open / Comment

2020-05-12 16:32:07 Using Neural Networks to Find Answers in Tables
https://bit.ly/2WLpHHQ

The Art of Storytelling in Analytics and Data Science | How to Create Data Stories?
https://bit.ly/3dHfBPs

AI and Efficiency
https://bit.ly/2Lq2wO0

The Nooscope Manifested. AI as Instrument of Knowledge Extractivism
https://bit.ly/2WNmcRw

Don’t Regulate Artificial Intelligence: Starve It
https://bit.ly/2WNNQ0G Open / Comment

2020-05-11 07:00:07 Online Seminar on Mathematical Foundations of Data Science
https://bit.ly/3bikw7x

7 Reasons To Not Hire a Data Scientist
https://bit.ly/2YBa48y

Don’t Fear the Robot
https://bit.ly/2WIGhrV

CNN Explainer. Learn Convolutional Neural Network (CNN) in your browser!
https://bit.ly/35LUqZu

My First Year as a Freelance AI Engineer
https://bit.ly/3clyNBV Open / Comment

2020-05-08 20:13:45 Hey guys! Hope you are all great

ProductStar Global holds free weekly online meetup this Sunday (10/05) for anyone who is interested in product management!

Manasa GN, Product Manager at Shell will talk about "Feature table building which helps understand different types of Product Managers in the industry".

They say ideas are 'a dime a dozen' but where do good ideas come from? Do they come from observation, personal experience, or research?
Manasa will explore these questions in this discussion.
Key points:
Understand the different types of Product Managers in the industry
How to use the EMUC model to look for good ideas.
Learn how to build Feature tables for Product Managers

Join the webinar by the following link https://productstar.org/productwebinar
May 10th (Sunday)
13.00 GMT, 18.30 IST, 20.00 Jakarta

It’s going to be really interesting, so Invite your friends and share the information with your colleagues Open / Comment

2020-05-05 07:00:07 Jukebox - a neural net that generates music.
https://bit.ly/3db0MEh

The Unprecedented Line Charts of COVID-19
https://bit.ly/2zeHD5B

Google Drive is production
https://bit.ly/3c6zkaH

PyBoy - Game Boy emulator written in Python to train AI systems
https://bit.ly/3dbrkFm

Intro to Automated Question Answering
https://bit.ly/35trkOC Open / Comment

2020-05-04 07:00:07 Boston Dynamics is open-sourcing its robot tech to help hospitals fight coronavirus
https://bit.ly/2KXoXtK

A state-of-the-art open source chatbot from Facebook
https://bit.ly/3b1jwEI

Why We Need DevOps for ML Data
https://bit.ly/3fbobY6

Why You Should Ignore All That Coronavirus-Inspired Productivity Pressure
https://bit.ly/2z39iGI

Statistics for Data Science: What is Normal Distribution?
https://bit.ly/3b18EXo Open / Comment

2020-05-03 19:06:43 Boom! Monthly selection from DSB. Issue #24
The TOP 10 most popular links of the month (April 2020)

1. 50 Must-Read Free Books For Every Data Scientist in 2020
https://bit.ly/2wTkLbl

2. $69 Trillion of World Debt in One Infographic
https://bit.ly/39JauM6

3. COVID-19 Dashboards
https://bit.ly/2xOf52p

4. 28 Jupyter Notebook Tips, Tricks, and Shortcuts
https://bit.ly/2Vi4ncs

5. The Seven Sins of Data Prep
https://bit.ly/2RvqgEd

6. Time Series Forecasting Best Practices & Examples
https://bit.ly/2K1g6GU

7. DataRobot (AutoML AI Platform) is opening the access to all COVID-19 researchers.
https://bit.ly/2w53Rpy

8. Beyond coronavirus: The path to the next normal
https://mck.co/2ymnsCn

9. My First Year as a Data Scientist
https://bit.ly/2UZwz3L

10. 10 Awesome Data Manipulation and Wrangling Hacks, Tips and Tricks
https://bit.ly/3497WFP Open / Comment

2020-04-14 07:00:09 The Seven Sins of Data Prep
https://bit.ly/2RvqgEd

After coronavirus, AI could be central to our new normal
https://bit.ly/2VlLlC6

Towards understanding glasses with graph neural networks
https://bit.ly/2XwGvVo

Scientists have created a new type of robot that is literally alive
https://bit.ly/2XwGXTA

​​​​28 Jupyter Notebook Tips, Tricks, and Shortcuts
https://bit.ly/2Vi4ncs Open / Comment

2020-04-13 07:00:08 Data Science: Reality Doesn't Meet Expectations
https://bit.ly/2VpDxPP

Monitoring Machine Learning Models in Production
https://bit.ly/2JXTEyC

Time Series Forecasting Best Practices & Examples
https://bit.ly/2K1g6GU

3 Reasons Why We Are Far From Achieving Artificial General Intelligence
https://bit.ly/34uisYp

Why I’m not making COVID19 visualizations, and why you (probably) shouldn’t either
https://bit.ly/3cakxeD Open / Comment