Towards Data Science
Activity Overview
Episode publication activity over the past year
Episodes
30. Interviewing the Medium data science team
22 Apr 2020
Contributed by Lukas
Revenues drop unexpectedly, and management pulls aside the data science team into a room. The team is given its marching orders: “your job,” they’...
29. Cameron Davidson-Pillon - Data science at Shopify
15 Apr 2020
Contributed by Lukas
If you want to know where data science is heading, it helps to know where it’s been. Very few people have that kind of historical perspective, and e...
28. Emily Robinson - Building a Career in Data Science
07 Apr 2020
Contributed by Lukas
It’s easy to think of data science as a purely technical discipline: after all, it exists at the intersection of a number of genuinely technical top...
27. Alayna Kennedy - AI safety, AI ethics and the AGI debate
30 Mar 2020
Contributed by Lukas
Most of us believe that decisions that affect us should be made rationally: they should be reached by following a reasoning process that combines data...
26. Jeremy Howard - Coronavirus: the data behind the disease
20 Mar 2020
Contributed by Lukas
In mid-January, China launched an official investigation into a string of unusual pneumonia cases in Hubei province. Within two months, that cluster o...
25. Chris Parmer - Plotly founder on what data science is, and where it's going
18 Mar 2020
Contributed by Lukas
It’s easy to think of data scientists as “people who explore and model data”. Bur in reality, the job description is much more flexible: your jo...
24. Xander Steenbrugge - Machine learning as a creative tool, and the quest for artificial general intelligence
10 Mar 2020
Contributed by Lukas
Most machine learning models are used in roughly the same way: they take a complex, high-dimensional input (like a data table, an image, or a body of ...
23. Iain Harlow - Leaving academia for industry and optimizing how you learn
03 Mar 2020
Contributed by Lukas
I can’t remember how many times I’ve forgotten something important. I’m sure it’s a regular occurrence though: I constantly forget valuable li...
22. Luke Marsden - Data Science Infrastructure and MLOps
23 Feb 2020
Contributed by Lukas
You train your model. You check its performance with a validation set. You tweak its hyperparameters, engineer some features and repeat. Finally, you ...
21. Adam Waksman - Data science is becoming software engineering
16 Feb 2020
Contributed by Lukas
When I think of the trends I’ve seen in data science over the last few years, perhaps the most significant and hardest to ignore has been the increa...
20. Chanchal Chatterjee - Real Talk with AI Leader at Google
30 Jan 2020
Contributed by Lukas
In this podcast interview, YK (CS Dojo) interviews Chanchal Chatterjee, who’s an AI leader at Google.
19. Will Koehrsen - Self-Learning Data Science and Sharing the Knowledge on Medium
25 Jan 2020
Contributed by Lukas
Podcast interview with one of our top data science writers, Will Koehrsen. Let’s go! Here’s Will’s article about what he learned from writ...
18. Edouard Harris - Mastering the data science job hunt
15 Jan 2020
Contributed by Lukas
Getting hired as a data scientist, machine learning engineer or data analyst is hard. And if there’s one person who’s spent a *lot* of time thinki...
17. Nate Nichols - Product instinct and data storytelling
07 Jan 2020
Contributed by Lukas
If there’s one trend that not nearly enough data scientists seem to be paying attention to heading into 2020, it’s this: data scientists are becom...
16. Helen Ngo - Real Talk with Machine Learning Engineer
16 Dec 2019
Contributed by Lukas
In this podcast episode, Helen Ngo and YK (aka CS Dojo) discuss deep fake, NLP, and women in data science.
15. Ian Xiao - Why Machine Learning Is More Boring Than You May Think
09 Dec 2019
Contributed by Lukas
In this podcast interview, YK (aka CS Dojo) asks Ian Xiao about why he thinks machine learning is more boring than you may think. Original arti...
14. Jeremie Harris - Building a Data Science Startup & Getting Into Data Science
02 Dec 2019
Contributed by Lukas
The other day, I interviewed Jeremie Harris, a SharpestMinds cofounder, for the Towards Data Science podcast and YouTube channel. SharpestMinds is a s...
13. Jessica Li - Predicting Snowmelt Patterns with Deep Learning and Satellite Imagery
25 Nov 2019
Contributed by Lukas
Hi! It's YK here from CS Dojo. In this episode, I interviewed Jessica Li from Kaggle about how she worked with NASA to predict snowmelt patterns using...
12. Rachael Tatman - Data science at Kaggle
06 Nov 2019
Contributed by Lukas
One question I’ve been getting a lot lately is whether graduate degrees — especially PhDs — are necessary in order to land a job in data science...
11. Sanjeev Sharma - DataOps and data science at enterprise scale
31 Oct 2019
Contributed by Lukas
One thing that you might not realize if you haven’t worked as a data scientist in very large companies is that the problems that arise at enterprise...
10. Sanyam Bhutani - Data science beyond the classroom
22 Oct 2019
Contributed by Lukas
A few years ago, there really wasn’t much of a difference between data science in theory and in practice: a jupyter notebook and a couple of imports...
9. Ben Lorica - Trends in data science with O'Reilly Media's Chief Data Scientist
15 Oct 2019
Contributed by Lukas
The trend towards model deployment, engineering and just generally building “stuff that works” is just the latest step in the evolution of the now...
8. George Hayward: comedian, lawyer and data scientist
08 Oct 2019
Contributed by Lukas
Each week, I have dozens of conversations with people who are trying to break into data science. The main topic of the conversations varies, but it’...
7. Serkan Piantino - From Facebook to startups: data science is becoming an engineering problem
01 Oct 2019
Contributed by Lukas
For today’s podcast, we spoke with someone who is laser-focused on considering this second possibility: the idea that data science is becoming an en...
6. Jay Feng - Data science in the startup world
25 Sep 2019
Contributed by Lukas
I’ve said it before and I’ll say it again: “data science” is an ambiguous job title. People use the term to refer to data science, data engine...
5. Rocio Ng - Data science and product management at LinkedIn
19 Sep 2019
Contributed by Lukas
Most software development roles are pretty straightforward: someone tells you what to build (usually a product manager), and you build it. What’s in...
4. Akshay Singh - The thin line between data science and data engineering
10 Sep 2019
Contributed by Lukas
If you’ve been following developments in data science over the last few years, you’ll know that the field has evolved a lot since its Wild West ph...
Susan Holcomb - Nontechnical career skills for data scientists
14 Aug 2019
Contributed by Lukas
It’s easy to think of data science as a technical discipline, but in practice, things don’t really work out that way. If you’re going to be a su...
Tan Vachiramon - Choosing the right algorithm for your real-world problem
16 Jul 2019
Contributed by Lukas
You import your data. You clean your data. You make your baseline model. Then, you tune your hyperparameters. You go back and forth from random ...
Joel Grus - The case against the jupyter notebook
16 Jul 2019
Contributed by Lukas
To most data scientists, the jupyter notebook is a staple tool: it’s where they learned the ropes, it’s where they go to prototype models or explo...