Episode 24: From Actuarial Science to Machine Learning with Mael Fabien
Dec 9, 2019
auto_awesome
Former actuarial scientist Mael Fabien discusses his journey to machine learning, including co-founding Wanago and pursuing a Master's degree in Actuarial Science. He explains his deep learning research project on emotion recognition and his involvement in teaching machine learning. The podcast also covers his internship experiences in data science, projects in text transformation and machine learning applications, and the exploration of reinforcement learning in robotics and games.
Data plays a crucial role in shaping businesses and societies by solving diverse problems and influencing interactions.
Entrepreneurial challenges and rewards are highlighted by Mael's experience in founding a startup focused on van acquisition and crowdfunding.
Mael's practical application of theoretical knowledge in machine learning and data science through projects like language recognition and data visualization is showcased.
Deep dives
Data Revolution and Its Impact on Businesses and Societies
Data are transforming businesses and societies, solving diverse problems, and shaping the way we interact with the world. The importance of data analysis and organization cannot be overlooked.
Educational Background and Entrepreneurial Ventures
Mel Fabian discusses his educational journey, including studying economics and actuarial science, and his experience founding a startup focused on van acquisition and crowdfunding. He highlights the challenges and rewards of being an entrepreneur.
Teaching Experience and Academic Projects
Mel shares insights from his teaching experiences in machine learning, statistics, and data science bootcamps. He details projects involving language recognition, face detection, and data visualization, showcasing his practical application of theoretical knowledge.
Freelance Writing and Technical Content Creation
Mel emphasizes the value of freelance technical writing, citing it as a lucrative opportunity to share expertise, explore topics in-depth, and connect with the tech community. He offers advice on initiating freelance writing activities and leveraging personal interests.
Future Trends in Reinforcement Learning and Data Science Community in Paris
Mel discusses the potential applications of reinforcement learning in robotics and gaming, emphasizing its gradual integration into real-world scenarios. He also highlights the vibrant tech and data science community in Paris, noting the growth of startups and innovation initiatives in the region.
Maël is a Data Scientist at Anasen, a Y-Combinator Startup in Paris where he works on the automation of data exploration and feature extraction for textual data. He majored in Actuarial Science at the University of Lausanne and did a second Master in Data Science at Telecom ParisTech Engineering School. He is also a content writer for several blogs and a freelance Machine Learning instructor for 2 boot camps in Paris and Dakar. He is especially interested in applications of Machine Learning in the medical field.
Get the Snipd podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered podcast player
Listen to all your favourite podcasts with AI-powered features
Discover highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share & Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered podcast player
Listen to all your favourite podcasts with AI-powered features
Discover highlights
Listen to the best highlights from the podcasts you love and dive into the full episode