Tag: data science

Two weeks ago, I published a research paper Ethnic Divisions Within Unity: Insights into Intra-Group Segregation from Israel’s Ultra-Orthodox Society. It is my first paper in so many aspects First...

I recently came across a financial update with a plot that looks like the one below: a bar plot of revenue with a line plot of growth rate. The growth...

Read this if you are a data scientist (or another professional) worried about your career. So many people, including me, write about how fields such as copywriting, drawing, or data...

If you plan working data analysis or processing, read the excellent post in the “stats with cats blog” titled “35 Ways Data Go Bad” post. I did experience each and...

NDR is a family of machine learning/data science conferences. Their next conference will be held online on May, 28 and the agenda looks great. Now, I’m not super objective here,...

Constance Crozier (@clcrozier on Twitter) shared an interesting simulation in which she tried to fit a sigmoid curve (s-curve) to predict a plateau in a time-series. The result was a...

Being a freelancer data scientist, I get to talk to people about proposals that don’t materialize into projects. These conversations take time, but strangely enough, I enjoy them very much,...

Recently, I received an email from a pharmacist who considers becoming a data scientist. Since this is not a first (or last) similar email that I receive, I think others...

One common wisdom is that creative jobs are immune to becoming irrelevant. This is what Brian Solis, the author of “Lifescale” says on this matter On the positive side, historically,...

Yesterday, a new episode was published in the Popcorn podcast, where the host, Lior Frenkel, interviewed me. Everyone who knows me knows how much I love talking about myself and...

A Quora user asked about data science tools with a graphical user interface. Here’s my answer. I should mention though that I don’t usually use GUI for data science. Not...

Many years ago, I terribly overfit a model which caused losses of a lot of shekels (a LOT). It’s not that I wasn’t aware of the potential overfitting. I was....

In 2019, it’s hard to find a data-related blogger who doesn’t write about the essence and the future of data science as a profession. Most of these posts (like this...

In my last post on data science career, I heavily promoted the idea that a data scientist needs to find his or her specialization. I back my opinion with my...

TL/DR: Studying data science is OK as long as you know that it’s only a starting point. Almost two years ago, I wrote a post titled “Don’t study data science...

Traditional A/B testsing rests on a fundamentally flawed premise. Most of the time, version A will be better for some subgroups, and version B will be better for others. Choosing...

I wonder how this analysis of remained unnoticed by the social media The recent election of Doug Jones […] got me thinking: What if the Black populations of Southern cities...

From time to time, people ask me for help with non-trivial data visualization tasks. A couple of weeks ago, a friend-of-a-friend-of-a-friend showed me a set of graphs with the following...

TL/DR What: Data Visualization from default to outstanding. Test cases of tough data visualization **Why: ** You would never settle for default settings of a machine learning algorithm. Instead, you...

Other factors being equal, what language would you choose for heavy numeric computations: Python or PHP? This is not a language war but a serious question. For me, the choice...

My teammate, Charles Earl has recently attended the Conference on Fairness, Accountability, andTransparency (FAT*). The conference site is full of very interesting material, including proceedings and video recording of lectures...

One item on my todo list is to write a post about “three common misconceptions about data science. Today, I found this interesting post that lists misconceptions much better than...

Overfitting is a situation in which a model accurately describes some data but not the phenomenon that generates that data. Overfitting was a huge problem in the good old times,...

My stand on learning data science is known: I think that learning “data science” as a career move is a mistake. You may read this long rant of mine to...

Is Data Science a Science? I think that there is no data scientist who doesn’t ask his- or herself this question once in a while. I recalled this question today...

I consider teaching and presenting an integral part of my job as a data scientist. One way to become better at teaching is to collect feedback from the learners. I...

I stumbled upon a rant titled Data is not the new oil — Tech Insights You’ve heard it many times and so have I: “Data is the new oil” Well...

Recently, I stumbled upon a report called “Understanding Today’s Chief Data Scientist” published by an HR company called Heidrick & Struggles. This document tries to draw a profile of the...

Recently, I’ve stumbled upon an interesting series of posts about effective management of data science projects. One of the posts in the series says: “Operationalization” – a term only a...

Many years ago, I tried to build something that today would have been called “Google Trends for Pubmed”. One thing that I’ve found during that process was how the emergence...

I developed an anomaly detection system for Automattic internal dashboard. When presenting this system (“When good enough is just good enough”), I used to tell that in our particular case,...

Sigrid Keydana, in her post Plus/minus what? Let’s talk about uncertainty (talk) — recurrent null, said What’s the most important thing about communicating uncertainty? You’re doing it Really? Here, for...

In my work, the speed of code writing and reading is usually more important than the speed of its execution. Right now, I’m facing a challenge of optimizing the running...

If you are a data scientist, I am sure you wondered whether deep neural networks will replace you at your job one day. Every time I read about reports of...

I went through my Machine Learning tag feed. Suddenly, I stumbled upon a pie chart that looked so terrible, I was sure the post would be about bad practices in...

Compiled by my teammate Yanir Serourssi, the following is a reading list an A/B tests that you should read even if you don’t plan to perform an A/B test anytime...

In his blog post Big Data Or Big Hype? , Rick Ciesla is asking a question whether the “Big Data” phenomenon is “a real thing” or just a hype? I...

I really recommend reading this (longish) post by Tom Breur called “Data Dredging” (and following his blog. The post is dedicated to overfitting – the most scaring problem in machine...

Recently, I gave a data science career advice, in which I suggested the perspective data scientists not to study data science as a career move. Two of my main arguments...

In many cases, attempts to set a deadline to a data science project result in a complete fiasco. Why is that? Why, in many software projects, managers can have a...

Today, I’ve read a tweet by Sinan Aral (@sinanaral) from the MIT: https://twitter.com/sinanaral/status/917162872362463232 I’ve just realized that Ikigai is what happened to my career as a data scientist. There was...

It seems that career in data science is the hottest topic many data scientists are asked about. To help an aspiring data scientist, I’m reposting here a FAQ by my...

It’s hard to overestimate how I adore StackOverflow. One of the recent blog posts on StackOverflow.blog is “What you need to know to start a career as a data scientist”...

Data scientists build models using data. Real-life data captures real-life injustice and stereotypes. Are data scientists observers whose job is to describe the world, no matter how unjust it is?...

Zalando is an e-commerce company that sells shoes, clothing and other fashion items. Zalando isn’t a small company. According to Wikipedia, it’s 2015 revenue was almost 3 billion Euro. As...