Boris Gorelik

Meaningless slopes

Posted on June 20, 2018June 20, 20181 Comment on Meaningless slopes

In defense of three-dimensional graphs

Posted on May 28, 2018May 28, 2018No Comments on In defense of three-dimensional graphs

Today’s workshop material

Posted on May 27, 20182 Comments on Today’s workshop material

If you know matplolib and are in Israel on May 27th, I need your help

Posted on May 15, 2018May 15, 2018No Comments on If you know matplolib and are in Israel on May 27th, I need your help

Prerequisites for the upcoming data visualization workshop

Posted on May 15, 2018No Comments on Prerequisites for the upcoming data visualization workshop

I will host a data visualization workshop at Israel’s biggest data science event

Posted on May 1, 2018May 1, 20181 Comment on I will host a data visualization workshop at Israel’s biggest data science event

Whoever owns the metric owns the results — don’t trust benchmarks

Posted on April 13, 20181 Comment on Whoever owns the metric owns the results — don’t trust benchmarks

When “a pile of shit” is a compliment — On context importance in remote communication

Posted on March 28, 20181 Comment on When “a pile of shit” is a compliment — On context importance in remote communication

Three most common mistakes in data visualization 
and how to avoid them. Now, the slides

Posted on March 21, 2018March 23, 20187 Comments on Three most common mistakes in data visualization 
and how to avoid them. Now, the slides

Engineering Data Science at Automattic

Posted on March 21, 2018No Comments on Engineering Data Science at Automattic

Live in Barcelona. Three most common mistakes in data visualization.

Posted on March 2, 2018No Comments on Live in Barcelona. Three most common mistakes in data visualization.

Visiting the outer space isn’t such a big deal

Posted on March 1, 2018March 1, 20181 Comment on Visiting the outer space isn’t such a big deal

On algorithmic fairness & transparency

Posted on February 28, 2018February 28, 2018No Comments on On algorithmic fairness & transparency

Five misconceptions about data science

Posted on February 27, 2018No Comments on Five misconceptions about data science

Blogging isn’t what it used to be

Posted on February 26, 2018February 26, 20182 Comments on Blogging isn’t what it used to be

ASCII histograms are quick, easy to use and implement

Posted on February 25, 2018February 25, 2018No Comments on ASCII histograms are quick, easy to use and implement

Mammogram, breast cancer, and manipulative statistics

Posted on February 24, 2018February 25, 2018No Comments on Mammogram, breast cancer, and manipulative statistics

One of the reasons I don’t like R

Posted on February 23, 2018February 23, 2018No Comments on One of the reasons I don’t like R

Overfitting reading list

Posted on February 22, 2018No Comments on Overfitting reading list

Tips on making remote presentations

Posted on February 21, 2018February 24, 20181 Comment on Tips on making remote presentations

The best productivity system I know

Posted on February 20, 2018May 19, 20197 Comments on The best productivity system I know

Once again on becoming a data scientist

Posted on February 19, 20181 Comment on Once again on becoming a data scientist

The case of meaningless comparison

Posted on February 18, 2018February 18, 20183 Comments on The case of meaningless comparison

I should read more about procrastination. Maybe tomorrow.

Posted on February 17, 2018October 4, 20191 Comment on I should read more about procrastination. Maybe tomorrow.

Lie factor in ad graphs

Posted on February 16, 2018February 16, 2018No Comments on Lie factor in ad graphs

Never read reviews before reading a book (except for this one). On “Surely You’re Joking, Mr. Feynman!”

Posted on February 15, 2018February 15, 20181 Comment on Never read reviews before reading a book (except for this one). On “Surely You’re Joking, Mr. Feynman!”

Is Data Science a Science?

Posted on February 14, 20181 Comment on Is Data Science a Science?

Why deeply caring about the analysis isn’t always a good thing?

Posted on February 13, 2018No Comments on Why deeply caring about the analysis isn’t always a good thing?

Does chart junk really damage the readability of your graph?

Posted on February 12, 20182 Comments on Does chart junk really damage the readability of your graph?

On statistics and democracy, or why exposing a fraud may mean nothing

Posted on February 11, 20181 Comment on On statistics and democracy, or why exposing a fraud may mean nothing

What is the best way to handle command line arguments in Python?

Posted on February 10, 2018February 12, 2018No Comments on What is the best way to handle command line arguments in Python?

Measuring the wall time in python programs

Posted on February 9, 2018February 10, 20201 Comment on Measuring the wall time in python programs

Why bar charts should always start at zero?

Posted on February 8, 20181 Comment on Why bar charts should always start at zero?

Gender salary gap in the Israeli high-tech — now the code

Posted on February 7, 2018February 7, 2018No Comments on Gender salary gap in the Israeli high-tech — now the code

The Monty Hall Problem simulator

Posted on February 6, 2018February 7, 2018No Comments on The Monty Hall Problem simulator

In defense of double-scale and double Y axes

Posted on February 5, 2018February 5, 2018No Comments on In defense of double-scale and double Y axes

What is the best way to collect feedback after a lecture or a presentation?

Posted on February 4, 2018No Comments on What is the best way to collect feedback after a lecture or a presentation?

Data is the new

Posted on February 3, 2018February 2, 2018No Comments on Data is the new

Analysis of A Beautiful Storm: Internal Communication at Automattic

Posted on February 3, 2018No Comments on Analysis of A Beautiful Storm: Internal Communication at Automattic

Yes, your friends are more successful than you are. On “The Majority Illusion in Social Networks”

Posted on February 2, 2018No Comments on Yes, your friends are more successful than you are. On “The Majority Illusion in Social Networks”

Gender salary gap in the Israeli high-tech

Posted on February 1, 2018No Comments on Gender salary gap in the Israeli high-tech

Don’t take career advises from people who mistreat graphs this badly

Posted on January 4, 2018December 27, 2017No Comments on Don’t take career advises from people who mistreat graphs this badly

AI and the War on Poverty, by Charles Earl

Posted on January 2, 2018January 2, 2018No Comments on AI and the War on Poverty, by Charles Earl

Одна голова хорошо, а две лучше; или как не забросить свой блог

Posted on December 31, 2017December 31, 2017No Comments on Одна голова хорошо, а две лучше; или как не забросить свой блог

Do New Year’s Resolutions Work? Data Suggests They Do!

Posted on December 26, 2017No Comments on Do New Year’s Resolutions Work? Data Suggests They Do!

The Keys to Effective Data Science Projects — Operationalize

Posted on December 20, 2017December 13, 2017No Comments on The Keys to Effective Data Science Projects — Operationalize

We’re Reading About Artificially Intelligent Harry Potter Fan Fiction, Verifying Online Identities, and More

Posted on December 19, 2017No Comments on We’re Reading About Artificially Intelligent Harry Potter Fan Fiction, Verifying Online Identities, and More

Buzzword shift

Posted on December 18, 2017December 13, 2017No Comments on Buzzword shift

On alert fatigue 

Posted on December 17, 2017December 16, 2017No Comments on On alert fatigue 

What’s the most important thing about communicating uncertainty?

Posted on December 14, 2017December 10, 2017No Comments on What’s the most important thing about communicating uncertainty?

Doing the Math on Key Words and Top Level Domains

Posted on December 12, 2017No Comments on Doing the Math on Key Words and Top Level Domains

The Y-axis doesn’t have to be on the left

Posted on December 10, 2017No Comments on The Y-axis doesn’t have to be on the left

Epitaphs in the Graveyard of Mathematics

Posted on December 2, 2017December 4, 20171 Comment on Epitaphs in the Graveyard of Mathematics

The fastest way to get first N items in each group of a Pandas DataFrame

Posted on November 27, 2017November 26, 2017No Comments on The fastest way to get first N items in each group of a Pandas DataFrame

How to make a graph less readable? Rotate the text labels

Posted on November 23, 2017November 23, 20171 Comment on How to make a graph less readable? Rotate the text labels

On machine learning, job security, professional pride, and network trolling

Posted on November 21, 2017November 21, 2017No Comments on On machine learning, job security, professional pride, and network trolling

Interactive Network Visualization in Python with NetworkX and PyQt5 Tutorial

Posted on November 20, 20171 Comment on Interactive Network Visualization in Python with NetworkX and PyQt5 Tutorial

Which of these two pictures should I choose for my gravatar?

Posted on November 16, 2017November 10, 2017No Comments on Which of these two pictures should I choose for my gravatar?

Another set of ruthless critique pieces

Posted on November 15, 2017September 8, 20192 Comments on Another set of ruthless critique pieces

We’re Reading About Simplifying Without Distortion and Adversarial Image Classification

Posted on November 15, 2017No Comments on We’re Reading About Simplifying Without Distortion and Adversarial Image Classification

Good information + bad visualization = BAD

Posted on November 14, 2017November 8, 2017No Comments on Good information + bad visualization = BAD

What are the best practices in planning & interpreting A/B tests?

Posted on November 13, 2017November 8, 20171 Comment on What are the best practices in planning & interpreting A/B tests?

How to make a racist AI without really trying (a reblog)

Posted on November 10, 2017No Comments on How to make a racist AI without really trying (a reblog)

Please leave a comment on this post 

Posted on November 9, 2017September 4, 201810 Comments on Please leave a comment on this post 

Data Science or Data Hype?

Posted on November 8, 2017November 8, 2017No Comments on Data Science or Data Hype?

Do you REALLY need the colors?

Posted on November 7, 2017November 8, 20172 Comments on Do you REALLY need the colors?

Numpy vs. Pandas: functions that look the same, share the same code but behave differently

Posted on November 6, 2017November 6, 2017No Comments on Numpy vs. Pandas: functions that look the same, share the same code but behave differently

When scatterplots are better than bar charts, and why?

Posted on November 5, 2017No Comments on When scatterplots are better than bar charts, and why?

Because you can — a new series of data visualization rants

Posted on November 1, 2017November 3, 2017No Comments on Because you can — a new series of data visualization rants

Although it is easy to lie with statistics, it is easier to lie without

Posted on October 30, 2017October 25, 2017No Comments on Although it is easy to lie with statistics, it is easier to lie without

Gartner: More than 40% of data science tasks will be automated by 2020. So what?

Posted on October 25, 2017October 26, 2017No Comments on Gartner: More than 40% of data science tasks will be automated by 2020. So what?

Posted on October 24, 2017No Comments on

Who doesn’t like some merciless critique of others’ work?

Posted on October 23, 2017October 15, 2017No Comments on Who doesn’t like some merciless critique of others’ work?

Why is it (almost) impossible to set deadlines for data science projects?

Posted on October 19, 2017October 19, 20171 Comment on Why is it (almost) impossible to set deadlines for data science projects?

What is the best thing that can happen to your career?

Posted on October 19, 2017October 26, 20172 Comments on What is the best thing that can happen to your career?

We’re Reading About Bias in AI, SpaceX, and More

Posted on October 18, 2017No Comments on We’re Reading About Bias in AI, SpaceX, and More

Can the order in which graphs are shown change people’s conclusions?

Posted on October 17, 2017October 15, 20171 Comment on Can the order in which graphs are shown change people’s conclusions?

Advice for aspiring data scientists and other FAQs — Yanir Seroussi

Posted on October 15, 2017October 26, 2017No Comments on Advice for aspiring data scientists and other FAQs — Yanir Seroussi

How to be a better teacher?

Posted on October 12, 2017October 26, 2017No Comments on How to be a better teacher?

What you need to know to start a career as a data scientist

Posted on October 11, 2017October 26, 20171 Comment on What you need to know to start a career as a data scientist

Graffiti from Chișinău, Moldova

Posted on October 10, 2017October 10, 20171 Comment on Graffiti from Chișinău, Moldova

Identifying and overcoming bias in machine learning

Posted on October 8, 2017No Comments on Identifying and overcoming bias in machine learning

Before and after — the Hebrew holiday season chart

Posted on October 8, 2017October 8, 2017No Comments on Before and after — the Hebrew holiday season chart

Pseudo-rehearsal: A simple solution to catastrophic forgetting for NLP

Posted on October 2, 2017February 23, 2020No Comments on Pseudo-rehearsal: A simple solution to catastrophic forgetting for NLP

16-days work month — The joys of the Hebrew calendar

Posted on September 27, 20171 Comment on 16-days work month — The joys of the Hebrew calendar

On data beauty and communication style

Posted on August 18, 2017October 15, 20171 Comment on On data beauty and communication style

Accepting payments on a WordPress.com site? Easy!

Posted on August 18, 2017August 18, 2017No Comments on Accepting payments on a WordPress.com site? Easy!

On procrastination

Posted on August 17, 2017October 4, 20191 Comment on On procrastination

Fashion, data, science

Posted on August 16, 2017August 16, 2017No Comments on Fashion, data, science

Anomaly detection in time series — now the video

Posted on August 14, 2017December 16, 20171 Comment on Anomaly detection in time series — now the video

Эээх-ухнем. Как не забросить свой блог

Posted on August 12, 2017August 14, 2017No Comments on Эээх-ухнем. Как не забросить свой блог

This Week in Data Reading

Posted on July 26, 2017No Comments on This Week in Data Reading

Avoiding being a ‘trophy’ data scientist

Posted on July 24, 2017No Comments on Avoiding being a ‘trophy’ data scientist

A successful failure

Posted on July 23, 2017July 23, 20171 Comment on A successful failure

The first lesson of the data visualization course is available

Posted on July 7, 2017July 8, 2017No Comments on The first lesson of the data visualization course is available

Correction about the course start date

Posted on June 27, 2017June 30, 2017No Comments on Correction about the course start date

I have created an online data visualization course

Posted on June 26, 2017July 7, 20171 Comment on I have created an online data visualization course

Data is NOT the new gold

Posted on June 18, 20171 Comment on Data is NOT the new gold

This is the approach behind “minimal viable product”. It is also valid for data science solutions.

Posted on June 13, 2017No Comments on “Deliver first, improve later”

Time Series Analysis: When “Good Enough” is Good Enough

Posted on June 12, 2017December 16, 20171 Comment on Time Series Analysis: When “Good Enough” is Good Enough