50. Ken Jee - Building your brand in data science
It’s no secret that data science is an area where brand matters a lot. In fact, if there’s one thing I’ve learned from A/B testing ways to help job-seekers get hired at SharpestMinds, it’s that bloggi...
9 Syys 202055min
49. Catherine Zhou - The data science of learning
If you’re interested in upping your coding game, or your data science game in general, then it’s worth taking some time to understand the process of learning itself. And if there’s one company that’s ...
2 Syys 202056min
48. Emmanuel Ameisen - Beyond the jupyter notebook: how to build data science products
Data science is about much more than jupyter notebooks, because data science problems are about more than machine learning. What data should I collect? How good does my model need to be to be “good en...
26 Elo 202045min
47. Goku Mohandas - Industry research and how to show off your projects
Project-building is the single most important activity that you can get up to if you’re trying to keep your machine learning skills sharp or break into data science. But a project won’t do you much go...
19 Elo 202050min
46. Ihab Ilyas - Data cleaning is finally being automated
It’s cliché to say that data cleaning accounts for 80% of a data scientist’s job, but it’s directionally true. That’s too bad, because fun things like data exploration, visualization and modelling are...
12 Elo 202039min
45. Kenny Ning - Is data science merging with data engineering?
There’s been a lot of talk about the future direction of data science, and for good reason. The space is finally coming into its own, and as the Wild West phase of the mid-2010s well and truly comes t...
5 Elo 202051min
44. Jakob Foerster - Multi-agent reinforcement learning and the future of AI
Reinforcement learning has gotten a lot of attention recently, thanks in large part to systems like AlphaGo and AlphaZero, which have highlighted its immense potential in dramatic ways. And while the ...
29 Heinä 202053min
43. Ian Scott - Data science at Deloitte
Data science can look very different from one company to the next, and it’s generally difficult to get a consistent opinion on the question of what a data scientist really is. That’s why it’s so impor...
22 Heinä 202038min
