When you stat learning about data science, it is important to be organised. Many data scientists tend to be messy by nature. Tools like Jupyter notebooks don’t really help much. While they can be very versatile and useful for experimentation, they can unfortunately make you learn the wrong habits. Some Read more…
As you might know I am a big fan of talking about various positions in the data science space. I have talked about the tribes of data scientists in the past, as well as the data science architect. The Analytics Engineer acts as the bridge between data engineers and data Read more…
Getting a job in data science Let me ask you a question, what do the following categories of people have in common: University students STEM graduates Humanities graduates Professionals over the age of 30 Moms returning to work Many of these people want to become data scientists! And this comes Read more…
One of the biggest dilemmas for decision makers is whether they should build their tech teams in-house or whether they should outsource. This is a big dilemma both for startups and entrepreneurs. The right choice can save you lots of money, time and effort. On this episode, we discuss about Read more…
Causal inference is one of the most exciting topics in machine learning. Some prominent researchers, like Judea Pearl believe that we will never be able to create true AI until we crack this. In this podcast we discuss more about this interesting topic.
Note: This is an excerpt from my new book-in-progress called “Uncertainty”. The most popular definition of probability, and maybe the most intuitive, is the frequentist one. According to frequentists, an event’s probability is defined as the limit of this event’s frequency in a large number of trials. What does this Read more…
Does history repeat itself? How would World War II have turned out if different strategic decisions had been taken? How would civilisation have unfolded if prominent figures hadn’t been born? Historians like to speculate about these kind of questions. But what if there was a data-driven way to study these Read more…
Four data scientists share their views… By Yasmin Chamchoun Inevitably, businesses world-wide have had to make major adjustments due to Covid-19. This has included forced closures, a freeze on recruitment, staff cuts as well as postponing investments in areas such as AI and technology. In recent years, the ‘data scientist Read more…
A meetup for both data scientists and marketers As some of you might know I am the administrator of the Data Science and Marketing Meetup. I find marketing fascinating, partly because there is so much data in marketing. This makes it ideal for applications of data science and AI. I Read more…
Data science education As many of you know, I have been involved in the space of data science education for a long time. Either through my work with universities like University College London, or London Business School, or the Tesseract Academy, I have always been working hard on helping people Read more…