📐 ML Fundamentals

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

ML Fundamentals

ML Services Gateway at SurveyMonkey

MLOps.community Intermediate 6y ago

ML Fundamentals

ML Platforms - The build vs buy question

MLOps.community Intermediate 6y ago

ML Fundamentals

Evaluating Time Series Models : Time Series Talk

ritvikmath Intermediate 6y ago

ML Fundamentals

How to build custom Datasets for Images in Pytorch

Aladdin Persson Intermediate 6y ago

ML Fundamentals

Taming Kerberos - Computerphile

Computerphile Intermediate 6y ago

ML Fundamentals

How to save and load models in Pytorch

Aladdin Persson Intermediate 6y ago

ML Fundamentals

My Recording Gears For Data Science Videos

Krish Naik Intermediate 6y ago

ML Fundamentals

Paul Polman and Peter Tufano in Conversation [clip]

Saïd Business School, University of Oxford Intermediate 6y ago

ML Fundamentals

Why Domain Knowledge Is Important For Data Scientist?

Krish Naik Intermediate 6y ago

ML Fundamentals

Oxford Impact Measurement Programme - The Landscape of Impact Measurement for Impact Investing

Saïd Business School, University of Oxford Intermediate 6y ago

ML Fundamentals

VDLS Lavanya Product Walkthrough

Weights & Biases Intermediate 6y ago

ML Fundamentals

Curried Functions - Computerphile

Computerphile Intermediate 6y ago

ML Fundamentals

Nicolas Koumchatzky — Machine Learning in Production for Self-Driving Cars

Weights & Biases Intermediate 6y ago

ML Fundamentals

ACF & PACF Code Example : Time Series Talk

ritvikmath Intermediate 6y ago

ML Fundamentals

A Day in the Life of MIT OpenCourseWare

MIT OpenCourseWare Intermediate 6y ago

ML Fundamentals

1D convolution for neural networks, part 9: Stride

Brandon Rohrer Intermediate 6y ago

ML Fundamentals

1D convolution for neural networks, part 8: Padding

Brandon Rohrer Intermediate 6y ago

ML Fundamentals

Pytorch GoogLeNet / InceptionNet implementation from scratch

Aladdin Persson Intermediate 6y ago

ML Fundamentals

Pytorch CNN example (Convolutional Neural Network)

Aladdin Persson Intermediate 6y ago

ML Fundamentals

Pytorch Neural Network example

Aladdin Persson Intermediate 6y ago

ML Fundamentals

How can we build a more stable and just world after the covid-19 crisis? Paul Polman & Peter Tufano.

Saïd Business School, University of Oxford Intermediate 6y ago

ML Fundamentals

End to End Chatbot with Deployment And Custom Service Integration

Krish Naik Intermediate 6y ago

ML Fundamentals

Oxford Programme on Responsible Ownership

Saïd Business School, University of Oxford Intermediate 6y ago

ML Fundamentals

Live Q&A Showing My Workspace

Krish Naik Intermediate 6y ago

ML Fundamentals

Spearman's rank correlation coefficient- Statistics

Krish Naik Intermediate 6y ago

ML Fundamentals

Time Management- How Do I Efficiently Manage My Time? My Experience- Motivation

Krish Naik Intermediate 6y ago

ML Fundamentals

Saturday Live Q&A

Krish Naik Intermediate 6y ago

ML Fundamentals

MLOps Manifesto with Luke Marsden from Dotscience

MLOps.community Intermediate 6y ago

ML Fundamentals

Remote Collaboration as a Data Scientist

MLOps.community Intermediate 6y ago

ML Fundamentals

All About Membership In Krish's Channel

Krish Naik Intermediate 6y ago

ML Fundamentals

Why My Computer Wants to Forget (How Dynamic Memory Works) - Computerphile

Computerphile Intermediate 6y ago

ML Fundamentals

GOTO Episode 1

Saïd Business School, University of Oxford Intermediate 6y ago

ML Fundamentals

GOTO 2020 Trailer

Saïd Business School, University of Oxford Intermediate 6y ago

ML Fundamentals

Unit Roots : Time Series Talk

ritvikmath Intermediate 6y ago

ML Fundamentals

Webinar - Private Equity’s Roaring 20s - A Peek Around the Corner

Saïd Business School, University of Oxford Intermediate 6y ago

ML Fundamentals

Lecture 4- Bubble Sort -Competitive Programming Problem 2

Krish Naik Intermediate 6y ago

ML Fundamentals

Visibility Climate Prediction- You Can Add This In Your Resume

Krish Naik Intermediate 6y ago

ML Fundamentals

Lecture 3- Competitive Programming Problem 1 Solution- Happy Holi!!

Krish Naik Intermediate 6y ago

ML Fundamentals

Invertibility II : Time Series Talk

ritvikmath Intermediate 6y ago

ML Fundamentals

Organizing ML projects — W&B walkthrough (2020)

Weights & Biases Intermediate 6y ago

ML Fundamentals

Lecture 2- Competitive Programming- Problem Statement 1

Krish Naik Intermediate 6y ago

ML Fundamentals

Lecture 1- Data Structures And Analysis Of Algorithms

Krish Naik Intermediate 6y ago

ML Fundamentals

1D convolution for neural networks, part 7: Weight gradient

Brandon Rohrer Intermediate 6y ago

ML Fundamentals

1D convolution for neural networks, part 6: Input gradient

Brandon Rohrer Intermediate 6y ago

ML Fundamentals

1D convolution for neural networks, part 5: Backpropagation

Brandon Rohrer Intermediate 6y ago

ML Fundamentals

1D convolution for neural networks, part 4: Convolution equation

Brandon Rohrer Intermediate 6y ago

ML Fundamentals

1D convolution for neural networks, part 3: Sliding dot product equations longhand

Brandon Rohrer Intermediate 6y ago

ML Fundamentals

1D convolution for neural networks, part 2: Convolution copies the kernel

Brandon Rohrer Intermediate 6y ago

📚 Coursera Courses Opens on Coursera · Free to audit

← 1 / 3 → View all →

📚 Coursera Course ↗

Self-paced

Model Thinking

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

The Ultimate Hands-On Hadoop

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

H2O Driverless AI Starter Course

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Calculus for Engineers

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Apply Artificial Intelligence Using Python for Beginners

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Exam Prep AIF-C01: AWS Certified AI Practitioner

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Fundamentos de Oscilaciones y Ondas para Ingeniería

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Analysis of Algorithms

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Recommender Systems: An Applied Approach using Deep Learning

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Data Science Companion

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Machine Learning: Clustering & Retrieval

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Introduction to Machine Learning

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Generative Deep Learning with TensorFlow

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Survey of Data Science

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

ML Pipelines on Google Cloud - Français

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Data Science in Stratified Healthcare and Precision Medicine

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Machine Learning Operations (MLOps): Getting Started - Français

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

1.- El Cálculo - Modelo Lineal

Opens on Coursera ↗