Webinar: Scalable Data Science and Machine Learning

You can find the slides here.

Now we’ve seen the hype of big data die down, it’s time to find out where it can deliver real value. In this webinar, Dr. Hugo Bowne-Anderson, Head of Data Science Evangelism and Marketing at Coiled, will demystify:

• When big data is useful and when it isn’t, with examples from healthcare, finance, and climate science

• When you want to think about larger compute infrastructures for your data science and machine learning (hint: it isn’t always about big data but also about big models and finding the right model!)

• How to establish healthy data cultures that allow you to scale your data science to larger data and larger models

The intersection of emerging technologies like cloud computing, big data, artificial intelligence, and the Internet of Things (IoT), along with the maturation of data science as a discipline, make this a key moment to figure out how we’re going to leverage big data and big compute to answer business questions. To do so, we’ll delve into the business, technical, and cultural questions around big data and distributed computation.

Key takeaways:

• When big data is useful and when it isn’t, with examples from healthcare, finance, and climate science

• When you want to think about larger compute infrastructures for your data science and machine learning (hint: it isn’t always about big data but also about big models and finding the right model!)

• How to establish healthy data cultures that allow you to scale your data science to larger data and larger models

Adel Nehme

Data Science Evangelist at DataCamp

Hugo Bowne-Anderson

Head of Data Science Evangelism and Marketing at Coiled; Previously a Data Scientist at DataCamp