See data scientist Dr Eugene Dubossarsky, founder of Presciient, illuminate the cutting-edge topic of machine learning in the age of quantum computing.
Presciient founder Dr Eugene Dubossarsky spoke recently at Data Science Sydney on the most important questions data scientists should ask a prospective employer.
Presciient founder Dr Eugene Dubossarsky recently talked with Alex Antic about teaching data science, changes in the field over his multi-decade career, Python versus R and more.
I love finding simple, intuitive explanations for complex things, and sharing them with others. I also like to see people grow and flourish, and get a buzz when it is partly due to my help. So training was a natural fit.
Dr Eugene Dubossarsky speaks on two hot topics in the world of data science at a meeting of Data Science Sydney on 17 June 2017.
Dr Eugene Dubossarsky talks with David McCaughan and Kevin Gray of the MR Realities podcast on what data science is and what you need to know about it, including what people need to work in the field and its relationship to statistics and decision-making.
What would you say is the One Purpose to data science? Eugene Dubossarsky shares his deep thoughts on this subject as well as his strong opinions on the current state of data science and how it is used (and misused) and how this has shaped his career.
You will hear Eugene’s insightful career tips, including red flags to look out for, management and strategy advice, and how best to prepare for the future. We also discuss what role humans will play as managers and analysts as technological advances grow and machine learning increases in ability.
Data science, big data, advanced analytics, machine learning… The buzzwords are many, the opportunities are great, and the complexity can be overwhelming. This presentation focuses on the heart, or “Zen” of the issue, presenting key concepts, distinguishing core from detail, and helping you to effectively navigate the complexity.
This is a high-level, non-technical presentation sharing key insights on the strategic business function of business modelling. A must for those developing their own analytics and data science capability.