📐 ML Fundamentals

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

ML Fundamentals

Important Interview Questions On Convolution Neural Network- Deep Learning

Krish Naik Intermediate 5y ago

ML Fundamentals

Live at Jeff Kinney’s pool party and The Deep End book review!

NPStation Beginner 5y ago

ML Fundamentals

Chia liang Kao - Practical Enterprise JupyterHub Deployment and MLOps with PrimeHub| JupyterCon 2020

JupyterCon Intermediate 5y ago

ML Fundamentals

Karla Spuldaro - Building AI Pipelines with Elyra | JupyterCon 2020

JupyterCon Intermediate 5y ago

ML Fundamentals

Important Steps I Have Followed To Improve My Data Science Skills- Sharing My Experience

Krish Naik Beginner 5y ago

ML Fundamentals

8.5 Bias-Variance Decomposition of the 0/1 Loss (L08: Model Evaluation Part 1)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

Use Pipeline to chain together multiple steps

Data School Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

AIDEN physio assistant by Shivay Lamba - Made with TensorFlow.js

TensorFlow Intermediate 5y ago

ML Fundamentals

When Machine Learning meets privacy - Episode 1

MLOps.community Beginner 5y ago

ML Fundamentals

This Book will Help you Land a Data Science Job

Data Professor Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

8.4 Bias and Variance vs Overfitting and Underfitting (L08: Model Evaluation Part 1)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

Curse of Dimensionality : Data Science Basics

ritvikmath Beginner 5y ago

ML Fundamentals

How to Build Classification Models (Weka Tutorial #2)

Data Professor Beginner 5y ago

ML Fundamentals

WGAN implementation from scratch (with gradient penalty)

Aladdin Persson Beginner 5y ago

21:09

ML Fundamentals ⚡ AI Lesson

Types Of Machine Learning | Machine Learning Algorithms | Machine Learning Tutorial | Simplilearn

Simplilearn Beginner 5y ago

ML Fundamentals

Handle unknown categories with OneHotEncoder by encoding them as zeros

Data School Beginner 5y ago

ML Fundamentals

Jetson AI Fundamentals - S3E4 - Object Detection Inference

NVIDIA Developer Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Inside TensorFlow: TF NumPy

TensorFlow Intermediate 5y ago

ML Fundamentals

DCGAN implementation from scratch

Aladdin Persson Beginner 5y ago

ML Fundamentals

Backpropagation Details Pt. 2: Going bonkers with The Chain Rule

StatQuest with Josh Starmer Beginner 5y ago

ML Fundamentals

Backpropagation Details Pt. 1: Optimizing 3 parameters simultaneously.

StatQuest with Josh Starmer Beginner 5y ago

ML Fundamentals

Charles Isbell: Computing, Interactive AI, and Race in America | Lex Fridman Podcast #135

Lex Fridman Beginner 5y ago

ML Fundamentals

Data augmentation to address overfitting | Deep Learning Tutorial 26 (Tensorflow, Keras & Python)

codebasics Beginner 5y ago

ML Fundamentals

🔥 Integrate Weights & Biases with PyTorch

Weights & Biases Intermediate 5y ago

ML Fundamentals

🥕 Integrate Weights & Biases with Keras

Weights & Biases Beginner 5y ago

ML Fundamentals

Getting ready to learn Python, Mac edition #5: Write and run a Python program

Brandon Rohrer Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

#TWIMLfest: So You Want to Teach an AI/ML Course?

The TWIML AI Podcast with Sam Charrington Intermediate 5y ago

ML Fundamentals

DeepLearning.AI Learner Community Event ft. Ghaith Sankari

DeepLearningAI Beginner 5y ago

ML Fundamentals

DeepLearning.AI Learner Community Event ft. Jan Jitse Venselaar

DeepLearningAI Beginner 5y ago

ML Fundamentals

Joe Spisak-Deep Learning Development with PyTorch+Jupyter using Heterogenous hardware|JupyterCon2020

JupyterCon Beginner 5y ago

ML Fundamentals

Praveen Kanamarlapud - Kernel Life Cycle Management | JupyterCon 2020

JupyterCon Intermediate 5y ago

ML Fundamentals

Why There Are So Many Start Ups In AI, ML And DL? Important For Everyone

Krish Naik Beginner 5y ago

ML Fundamentals

8.3 Bias-Variance Decomposition of the Squared Error (L08: Model Evaluation Part 1)

Sebastian Raschka Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

8.2 Intuition behind bias and variance (L08: Model Evaluation Part 1)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

8.1 Intro to overfitting and underfitting (L08: Model Evaluation Part 1)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

Devin Robison - Optimizing model performance | JupyterCon 2020

JupyterCon Intermediate 5y ago

ML Fundamentals

Deep Learning-All Optimizers In One Video-SGD with Momentum,Adagrad,Adadelta,RMSprop,Adam Optimizers

Krish Naik Intermediate 5y ago

ML Fundamentals

Thorin Tabor - Democratizing the accessibility of computational workflows | JupyterCon 2020

JupyterCon Intermediate 5y ago

ML Fundamentals ⚡ AI Lesson

Jeffrey Mew - Supercharge your Data Science workflow | JupyterCon 2020

JupyterCon Intermediate 5y ago

ML Fundamentals

Deep Learning-Activation Functions-Elu, PRelu,Softmax,Swish And Softplus

Krish Naik Intermediate 5y ago

ML Fundamentals

Difficulties I Faced As A Data Scientist-Sharing My Experience From Start

Krish Naik Beginner 5y ago

ML Fundamentals

Building our first simple GAN

Aladdin Persson Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

How to Build Regression Models (Weka Tutorial #1)

Data Professor Beginner 5y ago

ML Fundamentals

Saturday Live Q&A Ask Anything Regarding Data Science

Krish Naik Intermediate 5y ago

ML Fundamentals

Tutorial 4- Julia For Data Science-String In Julia Along With Indepth Functions

Krish Naik Intermediate 5y ago

ML Fundamentals ⚡ AI Lesson

An Introduction to Generative Adversarial Networks (GANs)

Aladdin Persson Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

🎨 Log (Almost) Anything with Weights & Biases

Weights & Biases Intermediate 5y ago

ML Fundamentals

deeplearning.ai Learner Community Event ft. Roger Smith

DeepLearningAI Beginner 5y ago