Media Summary: The talk broadly covers the experiences of a self-taught programmer working with Julia as one of his first programming languages. Speaker: Keynote at NDC Porto 2025 Description: It wasn't all that long ago that "learn to code" was failsafe career ... Leland McInnes, Researcher, Tutte Institute About the Speaker: Leland McInnes is a researcher at the Tutte Institute for ...

Dinker Mattam Machine Learning With - Detailed Analysis & Overview

The talk broadly covers the experiences of a self-taught programmer working with Julia as one of his first programming languages. Speaker: Keynote at NDC Porto 2025 Description: It wasn't all that long ago that "learn to code" was failsafe career ... Leland McInnes, Researcher, Tutte Institute About the Speaker: Leland McInnes is a researcher at the Tutte Institute for ... The Transformer architecture (which powers ChatGPT and nearly all modern AI) might be trapping the industry in a localized rut, ... Victor Chernozhukov of the Massachusetts Institute of Technology provides a general framework for estimating and drawing ... IMA Data Science Seminar Speaker: Adam Pickarski (NC State University) "Large Data Limits and Scaling Laws of t-SNE" We ...

... let's get started a very popular task nowaday in data science and We discuss the crucial role of data from the start to end of any scientific process and when developing models. We learn from data, ... Recorded 13 March 2026. Andrew Christlieb of Michigan State University presents "An introduction to Scientific The Connecting with Country Framework is a framework for developing connections with Country that can inform the planning, ...

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Dinker Mattam - Machine Learning with Julia
Keynote:  Machines, Learning, and Machine Learning - Dylan Beattie - NDC Porto 2025
Rethinking Unsupervised Learning
Dense Associative Memory in Machine Learning
He Co-Invented the Transformer. Now: Continuous Thought Machines [Llion Jones / Luke Darlow]
Double Machine Learning for Causal and Treatment Effects
Large Data Limits and Scaling Laws of t-SNE – Adam Pickarski
IMA Workshop:Theory and Algorithms in Graph-Based Learning
Introduction to Thinking About Data I (Hargrove, MMED)
Andrew Christlieb - An introduction to Scientific Machine Learning - IPAM at UCLA
Connecting with Country: Dharug Mudjin embedding Country in Microsoft's Data Centre at Kemps Creek
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Dinker Mattam - Machine Learning with Julia

Dinker Mattam - Machine Learning with Julia

The talk broadly covers the experiences of a self-taught programmer working with Julia as one of his first programming languages.

Keynote:  Machines, Learning, and Machine Learning - Dylan Beattie - NDC Porto 2025

Keynote: Machines, Learning, and Machine Learning - Dylan Beattie - NDC Porto 2025

Speaker: @DylanBeattie Keynote at NDC Porto 2025 Description: It wasn't all that long ago that "learn to code" was failsafe career ...

Rethinking Unsupervised Learning

Rethinking Unsupervised Learning

Leland McInnes, Researcher, Tutte Institute About the Speaker: Leland McInnes is a researcher at the Tutte Institute for ...

Dense Associative Memory in Machine Learning

Dense Associative Memory in Machine Learning

Dmitry Krotov, MIT / IBM Research.

He Co-Invented the Transformer. Now: Continuous Thought Machines [Llion Jones / Luke Darlow]

He Co-Invented the Transformer. Now: Continuous Thought Machines [Llion Jones / Luke Darlow]

The Transformer architecture (which powers ChatGPT and nearly all modern AI) might be trapping the industry in a localized rut, ...

Double Machine Learning for Causal and Treatment Effects

Double Machine Learning for Causal and Treatment Effects

Victor Chernozhukov of the Massachusetts Institute of Technology provides a general framework for estimating and drawing ...

Large Data Limits and Scaling Laws of t-SNE – Adam Pickarski

Large Data Limits and Scaling Laws of t-SNE – Adam Pickarski

IMA Data Science Seminar Speaker: Adam Pickarski (NC State University) "Large Data Limits and Scaling Laws of t-SNE" We ...

IMA Workshop:Theory and Algorithms in Graph-Based Learning

IMA Workshop:Theory and Algorithms in Graph-Based Learning

... let's get started a very popular task nowaday in data science and

Introduction to Thinking About Data I (Hargrove, MMED)

Introduction to Thinking About Data I (Hargrove, MMED)

We discuss the crucial role of data from the start to end of any scientific process and when developing models. We learn from data, ...

Andrew Christlieb - An introduction to Scientific Machine Learning - IPAM at UCLA

Andrew Christlieb - An introduction to Scientific Machine Learning - IPAM at UCLA

Recorded 13 March 2026. Andrew Christlieb of Michigan State University presents "An introduction to Scientific

Connecting with Country: Dharug Mudjin embedding Country in Microsoft's Data Centre at Kemps Creek

Connecting with Country: Dharug Mudjin embedding Country in Microsoft's Data Centre at Kemps Creek

The Connecting with Country Framework is a framework for developing connections with Country that can inform the planning, ...