Published Feb 18, 2021

SDS 445: Conversational A.I. — with Sinan Ozdemir

Exploring the intersection of mathematics and AI, Sinan Ozdemir delves into the foundational role of math in data science, strategies for refining conversational AI, and the irreplaceable value of human expertise amidst the rise of AutoML.

Episode Highlights

Topics covered

Episode Highlights

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SDS 445: Conversational A.I. — with Sinan Ozdemir

Topics covered

Popular Clips

Conversational AI Insights

Showcasing Innovations

Exciting Conversations

Intent Modeling Insights

Effective Team Communication

Math in Data Science

Teaching in Unusual Places

Navigating COVID Challenges

Intent and Entities

Transitioning Roles

Embracing AI Challenges

Show and Tell

AutoML Limitations

Conversational AI Evolution

Episode Highlights

Mathematical Insights

Conversational AI

Human Factor in AI

Related Episodes

SDS 509: Accelerating Start-up Growth with A.I. Specialists — with Parinaz Sobhani

SDS 464: A.I. vs Machine Learning vs Deep Learning — with Jon Krohn

SDS 589: Narrative A.I. — with Hilary Mason

SDS 539: Interpretable Machine Learning — with Serg Masís

SDS 605: Upskilling in Data Science and Machine Learning — with Kian Katanforoosh

SDS 613: Causal Machine Learning — with Emre Kiciman

SDS 438: Artificial General Intelligence — with Jon Krohn

SDS 439: Deep Learning for Machine Vision — with Deblina Bhattacharjee

SDS 433: Data Science Trends for 2021 — with Ben Taylor

SDS 513: Transformers for Natural Language Processing — with Denis Rothman

SDS 489: Monetizing Machine Learning — with Vin Vashishta

SDS 469: Learning Deep Learning Together — with Konrad Körding

SDS 435: Scaling Up Machine Learning — with Erica Greene

SDS 573: Automating ML Model Deployment — with Doris Xin

812: The AI Scientist: Towards Fully Automated, Open-Ended Scientific Discovery — with Jon Krohn

SDS 445: Conversational A.I. — with Sinan Ozdemir

Topics covered

Popular Clips

Episode Highlights

Mathematical InsightsSinan Ozdemir explores the role of mathematical proofs and the intersection of pure and applied mathematics in data science. He shares insights from his academic journey and unique teaching experiences, highlighting the practical applications of math in AI.

Mathematical Insights

Conversational AISinan Ozdemir shares insights into maintaining the relevance and effectiveness of conversational AI. He discusses strategies for keeping chatbots updated and the design principles that ensure user-friendly interactions.

Conversational AI

Human Factor in AISinan Ozdemir explores the limitations of AutoML and the essential skills needed for AI roles. He emphasizes the irreplaceable value of human expertise in data science and the importance of effective communication.

Human Factor in AI

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