Danny Ma is an influencer in the Data Science and Machine Learning community. In this episode of the Humans of Ai, we deep dive into Danny’s passion and journey into the field of Data Science and technology.

Danny throws light on the current state of Data Science and Machine Learning and provides tips on how to improve yourself as a Data Scientist, the importance of working with and around data, along with the pros and cons of the Data Science field. 

We then talk about Danny’s passion for mentorship and the challenges of finding the right mentor fit. Towards the end of the episode, Danny shares his views on the future of technology and the NEXT BIG THING in the field of Data Science.

Find out more about Danny & his #DatawithDanny movement here: https://www.linkedin.com/in/datawithdanny/

Intro & Outro music by Simon Calcinai

Emre Kiciman is the Senior Principal Researcher at Microsoft Research Ai in the Information and Data Sciences group, and Amit Sharma is a Senior Researcher at Microsoft Research India. 

In this episode of the Humans of Ai, we discuss how Emre and Amit started in the field of Science and Technology and then dive into how they got started in Causal Science. We further explore the concepts around Causal Inference, such as Causal Graphs and Confounding Variables. We then discuss Amit & Emre's new software library, “DoWhy – A Library for Causal Inference,” the motivation behind its creation and its significance.

Towards the end of the episode, we talk about the advantages/disadvantages of Causal Inference and the ethical usage of bringing such sophisticated tools into Machine Learning.

Learning Resources Mentioned in the Podcast:

Causal Inference Course:

https://causalinference.gitlab.io/

Upcoming Book on Causal Inference by Emre & Amit:

https://causalinference.gitlab.io/causal-reasoning-book-chapter1/

Intro & Outro music by Simon Calcinai

MLOps is the application of the best practises from DevOps - that is the tools & techniques that are required to take software & put it into production - and applying these same principles to the field of Data Science to formalise the process of training a machine learning model all the way through to putting the model into production.

In this edition of the Humans of Ai, we interview Damian Brady - Senior Cloud DevOps Advocate at Microsoft & discuss how he got started in the field of Computer Science, then deep dive into Damian's field of expertise - MLops. Finally, we finish up the episode with what it is like to talk at a super conference - Microsoft Ignite.