ML Fundamentals

How do you predict python's future?

Don't learn data tools without knowing this!

Grey Nearing - Flood Casting at Google

Validation Set - What's the point? 📈 - Deep Learning Beginner 🔍 - Topic 153 #ai #ml

What does a data engineer do?

Why Oxford: The Executive Diploma Experience

How Ray Tracing Works - Computerphile

Overfitting: Training vs Validation 🚫 - Deep Learning Beginner 📉 - Topic 152 #ai #ml

The limitless possibilities of on-device ML: From accessible toys to grading grapes

Kolmogorov-Arnold Networks: MLP vs KAN, Math, B-Splines, Universal Approximation Theorem

Martin Schmalz appointed first Real Estate Professor & Oxford Future of Real Estate Initiative lead

I deployed a recommendation model. Testing Models In Production using Interleaving Experiments.

Generative AI is a Mess 🤖

Data Science Live Stream! Kaggle LMSYS Chatbot Arena Challenge

OCW Learning Journeys: Jae-Min's Story #Chemistry #Thermodynamics #Physics #Science #MIT

AI Quality in Mo's Eyes // Mohamed Elgendy // MLOps Podcast #229 clip

Comment down your favourite term in coding.✌️

Why We Can Exist | Crash Course Pods: The Universe #2

Stanford CS236: Deep Generative Models I 2023 I Lecture 17 - Discrete Latent Variable Models

Stanford CS236: Deep Generative Models I 2023 I Lecture 14 - Energy Based Models

Validation Set: Unbiased Evaluation ❓ - Ensuring Model Quality 🎚️ - Topic 151 #ai #ml

Validating for Generalization 🔄 - Beyond Training 🔍 - Topic 150 #ai #ml

Sitting Too Much? 👩‍💻 Strengthen Your Glutes 🍑 Cable Pull-Throughs with Mandy

Training Set: The Learning Ground 🧬 - Neural Networks 101 📘 - Topic 149 #ai #ml

Sanjaya Lall Memorial Panel 2024 - “The future of work in the age of AI”

Resume Project Challenge 11 #codebasics #data #dataanalyst #datascientist #resumeprojectchallenge

Sanjaya Lall Memorial Lecture 2024

Splitting Data: 3 Key Sets 🔢 - Intro to Sets in ML 📏 - Topic 148 #ai #ml

Focus on Fundamentals, not just the tools!

Training, Validation, Testing 📊 - Neural Network Basics 📘 - Topic 147 #ai #ml

Focus on these timeless skills #codebasics #dataanalyst #data #datascientist #skills

How can we correct the warped mirror that AI holds up to nature?

Total Network Learnable Parameters 📈 - Beginner Example 🧮 - Topic 146 #ai #ml

This AI will Change your life!

AI Engineering Roadmap!

Stanford CS236: Deep Generative Models I 2023 I Lecture 13 - Score Based Models

Stanford CS236: Deep Generative Models I 2023 I Lecture 12 - Energy Based Models

Stanford CS236: Deep Generative Models I 2023 I Lecture 11 - Energy Based Models

Stanford CS236: Deep Generative Models I 2023 I Lecture 10 - GANs

Stanford CS236: Deep Generative Models I 2023 I Lecture 9 - GANs

Stanford CS236: Deep Generative Models I 2023 I Lecture 8 - Normalizing Flows

Stanford CS236: Deep Generative Models I 2023 I Lecture 7 - Normalizing Flows

Stanford CS236: Deep Generative Models I 2023 I Lecture 6 - VAEs

Stanford CS236: Deep Generative Models I 2023 I Lecture 5 - VAEs

Stanford CS236: Deep Generative Models I 2023 I Lecture 4 - Maximum Likelihood Learning

Stanford CS236: Deep Generative Models I 2023 I Lecture 3 - Autoregressive Models

Stanford CS236: Deep Generative Models I 2023 I Lecture 2 - Background

Summing Network Params 🧮 - Beginners' Guide to Totaling 🔍 - Topic 145 #ai #ml