📐 ML Fundamentals

Neural networks, backpropagation, gradient descent — the maths behind AI

ML Fundamentals ⚡ AI Lesson

Plenary: The fifth paradigm of scientific discovery

Microsoft Research Advanced 3y ago

ML Fundamentals

Gradio Crash Course - Fastest way to build & share Machine Learning apps

AssemblyAI Beginner 3y ago

ML Fundamentals

Entri Elevate Meet Up | Entri Codecast

Entri Coding മലയാളം Beginner 3y ago

ML Fundamentals

Train & deploy your deep learning models with Kubeflow integrated with Amazon SageMaker

AWS Developers Intermediate 3y ago

ML Fundamentals

Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 15

Stanford Online Beginner 3y ago

ML Fundamentals

Create and Deploy Custom AI Models with NVIDIA TAO on Azure ML

NVIDIA Developer Beginner 3y ago

ML Fundamentals ⚡ AI Lesson

Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 14

Stanford Online Beginner 3y ago

ML Fundamentals

Easily connect your ML models to data lakes using Amazon SageMaker Studio - AWs Online Tech Talk

AWS Developers Intermediate 3y ago

ML Fundamentals ⚡ AI Lesson

Markov Decision Processes - Computerphile

Computerphile Intermediate 3y ago

ML Fundamentals ⚡ AI Lesson

Grocery store recommendation systems with HarperDB and Web ML - Made with TensorFlow.js

TensorFlow Beginner 3y ago

ML Fundamentals ⚡ AI Lesson

Tribal Marketing

Data Skeptic Beginner 3y ago

ML Fundamentals

Need All Your Help To Test NeuroLabs Coding Platform Today At 6pm

Krish Naik Intermediate 3y ago

ML Fundamentals ⚡ AI Lesson

TensorFlow.js Community "Show & Tell" #8

TensorFlow Beginner 3y ago

ML Fundamentals ⚡ AI Lesson

Voice and Language Tech // Catherin Breslin // Coffee Sessions #129

MLOps.community Beginner 3y ago

ML Fundamentals

Ensemble Techniques in Machine Learning #machinelearning #ensemble #datascience

Analytics Vidhya Beginner 3y ago

ML Fundamentals

Neural Networks are Decision Trees (w/ Alexander Mattick)

Yannic Kilcher Beginner 3y ago

ML Fundamentals

I tried building an ML Cancer Segmentation API in 15 Minutes

Nicholas Renotte Beginner 3y ago

ML Fundamentals

How ScyllaDB Helped an AdTech Company Focus on Core Business

The New Stack Beginner 3y ago

ML Fundamentals

The Wrong Batch Size Will Ruin Your Model

Underfitted Advanced 3y ago

ML Fundamentals

An Integration Conundrum - Numberphile

Numberphile Intermediate 3y ago

ML Fundamentals

Live Stream - More details about Target Encoding/AMA/Silly Songs

StatQuest with Josh Starmer Beginner 3y ago

ML Fundamentals

OpenAI's Whisper Model is solving a huge problem...

Nicholas Renotte Beginner 3y ago

ML Fundamentals ⚡ AI Lesson

Probability for Machine Learning!

CodeEmporium Advanced 3y ago

ML Fundamentals ⚡ AI Lesson

Transforming Lives | Data Science Immersive Bootcamp

Analytics Vidhya Intermediate 3y ago

ML Fundamentals ⚡ AI Lesson

Contrastive Learning in PyTorch - Part 2: CL on Point Clouds

DeepFindr Advanced 3y ago

ML Fundamentals

Power Of Internship For Your First Data Science Job- Transition Story Of Rohan

Krish Naik Beginner 3y ago

ML Fundamentals

Cohere For AI Fireside Chat: Samy Bengio

Cohere Beginner 3y ago

ML Fundamentals ⚡ AI Lesson

Uses of Information Theory - Computerphile

Computerphile Intermediate 3y ago

ML Fundamentals

Oxford Private Equity Programme

Saïd Business School, University of Oxford Intermediate 3y ago

ML Fundamentals

Generating Images From Text. Stable Diffusion, Explained

Underfitted Beginner 3y ago

ML Fundamentals ⚡ AI Lesson

Google Colab Introduction For Machine Learning

NeuralNine Beginner 3y ago

ML Fundamentals ⚡ AI Lesson

Jiu Jitsu App with Python and Streamlit

Automata Learning Lab Beginner 3y ago

ML Fundamentals

Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 13

Stanford Online Beginner 3y ago

ML Fundamentals ⚡ AI Lesson

Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 12

Stanford Online Beginner 3y ago

ML Fundamentals ⚡ AI Lesson

Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 11

Stanford Online Beginner 3y ago

ML Fundamentals

Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 10

Stanford Online Beginner 3y ago

ML Fundamentals ⚡ AI Lesson

Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 9

Stanford Online Beginner 3y ago

ML Fundamentals

Smart Manufacturing Episode #3: How Machine Learning and IIoT Improve OEE - AWS Online Tech Talks

AWS Developers Intermediate 3y ago

ML Fundamentals

Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 8

Stanford Online Beginner 3y ago

ML Fundamentals

Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 7

Stanford Online Beginner 3y ago

ML Fundamentals

Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 6

Stanford Online Beginner 3y ago

ML Fundamentals

Making Sense of Health Data with Amazon HealthLake - AWS Online Tech Talks

AWS Developers Intermediate 3y ago

ML Fundamentals ⚡ AI Lesson

Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 5

Stanford Online Beginner 3y ago

ML Fundamentals

Stanford CS330: Deep Multi-Task & Meta Learning I 2021 I Lecture 4

Stanford Online Beginner 3y ago

ML Fundamentals

Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 3

Stanford Online Beginner 3y ago

ML Fundamentals

RoadMap For 30 Days Data Science Interview Preparation With Materials @iNeuroniNtelligence

Krish Naik Beginner 3y ago

ML Fundamentals ⚡ AI Lesson

Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 2

Stanford Online Beginner 3y ago

ML Fundamentals

Stanford Seminar - Perceiving, Understanding, and Interacting through Touch

Stanford Online Beginner 3y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Sequence Modeling, Transformers, and Transfer Learning

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Scalable Machine Learning on Big Data using Apache Spark

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Self-paced

Build and Operate Machine Learning Solutions with Azure

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📚 Coursera Course ↗

Self-paced

Single Variable Calculus

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Self-paced

Foundations of AI Engineering

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Production AI Model Development and Ethics

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📚 Coursera Course ↗

Self-paced

Planning a Machine Learning Project

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Self-paced

Deploy, Manage, and Orchestrate Your Models

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Custom and Distributed Training with TensorFlow

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Self-paced

Machine Learning for Smart Beta

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Self-paced

Information Extraction from Free Text Data in Health

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Self-paced

Machine Learning for Kyphosis Disease Classification

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📚 Coursera Course ↗

Self-paced

Fundamentals of Machine Learning and Artificial Intelligence

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Teaching Impacts of Technology: Data Collection, Use, and Privacy

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Principles of Data Science

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Intro to Artificial Intelligence on Microsoft Azure

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Advanced Linear Models for Data Science 2: Statistical Linear Models

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Introduction to Generative AI - Art of the Possible

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