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📐 ML Fundamentals

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

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WGAN implementation from scratch (with gradient penalty)
ML Fundamentals
WGAN implementation from scratch (with gradient penalty)
Aladdin Persson Beginner 5y ago
Devin Robison - Optimizing model performance | JupyterCon 2020
ML Fundamentals
Devin Robison - Optimizing model performance | JupyterCon 2020
JupyterCon Intermediate 5y ago
Deep Learning-All Optimizers In One Video-SGD with Momentum,Adagrad,Adadelta,RMSprop,Adam Optimizers
ML Fundamentals
Deep Learning-All Optimizers In One Video-SGD with Momentum,Adagrad,Adadelta,RMSprop,Adam Optimizers
Krish Naik Intermediate 5y ago
Types Of Machine Learning | Machine Learning Algorithms | Machine Learning Tutorial | Simplilearn
21:09
ML Fundamentals
Types Of Machine Learning | Machine Learning Algorithms | Machine Learning Tutorial | Simplilearn
Simplilearn Beginner 5y ago
Handle unknown categories with OneHotEncoder by encoding them as zeros
ML Fundamentals
Handle unknown categories with OneHotEncoder by encoding them as zeros
Data School Beginner 5y ago
Jetson AI Fundamentals - S3E4 - Object Detection Inference
ML Fundamentals
Jetson AI Fundamentals - S3E4 - Object Detection Inference
NVIDIA Developer Beginner 5y ago
Thorin Tabor - Democratizing the accessibility of computational workflows | JupyterCon 2020
ML Fundamentals
Thorin Tabor - Democratizing the accessibility of computational workflows | JupyterCon 2020
JupyterCon Intermediate 5y ago
Inside TensorFlow: TF NumPy
ML Fundamentals
Inside TensorFlow: TF NumPy
TensorFlow Intermediate 5y ago
Deep Learning-Activation Functions-Elu, PRelu,Softmax,Swish And Softplus
ML Fundamentals
Deep Learning-Activation Functions-Elu, PRelu,Softmax,Swish And Softplus
Krish Naik Intermediate 5y ago
DCGAN implementation from scratch
ML Fundamentals
DCGAN implementation from scratch
Aladdin Persson Beginner 5y ago
Backpropagation Details Pt. 2: Going bonkers with The Chain Rule
ML Fundamentals
Backpropagation Details Pt. 2: Going bonkers with The Chain Rule
StatQuest with Josh Starmer Beginner 5y ago
Backpropagation Details Pt. 1: Optimizing 3 parameters simultaneously.
ML Fundamentals
Backpropagation Details Pt. 1: Optimizing 3 parameters simultaneously.
StatQuest with Josh Starmer Beginner 5y ago
Charles Isbell: Computing, Interactive AI, and Race in America | Lex Fridman Podcast #135
ML Fundamentals
Charles Isbell: Computing, Interactive AI, and Race in America | Lex Fridman Podcast #135
Lex Fridman Beginner 5y ago
Data augmentation to address overfitting | Deep Learning Tutorial 26 (Tensorflow, Keras & Python)
ML Fundamentals
Data augmentation to address overfitting | Deep Learning Tutorial 26 (Tensorflow, Keras & Python)
codebasics Beginner 5y ago
How to Build Regression Models (Weka Tutorial #1)
ML Fundamentals
How to Build Regression Models (Weka Tutorial #1)
Data Professor Beginner 5y ago
🔥 Integrate Weights & Biases with PyTorch
ML Fundamentals
🔥 Integrate Weights & Biases with PyTorch
Weights & Biases Intermediate 5y ago
🥕 Integrate Weights & Biases with Keras
ML Fundamentals
🥕 Integrate Weights & Biases with Keras
Weights & Biases Beginner 5y ago
Getting ready to learn Python, Mac edition #5: Write and run a Python program
ML Fundamentals
Getting ready to learn Python, Mac edition #5: Write and run a Python program
Brandon Rohrer Beginner 5y ago
The First Internet Worm (Morris Worm) - Computerphile
ML Fundamentals
The First Internet Worm (Morris Worm) - Computerphile
Computerphile Intermediate 5y ago
#TWIMLfest: So You Want to Teach an AI/ML Course?
ML Fundamentals
#TWIMLfest: So You Want to Teach an AI/ML Course?
The TWIML AI Podcast with Sam Charrington Intermediate 5y ago
DeepLearning.AI Learner Community Event ft. Ghaith Sankari
ML Fundamentals
DeepLearning.AI Learner Community Event ft. Ghaith Sankari
DeepLearningAI Beginner 5y ago
DeepLearning.AI Learner Community Event ft. Jan Jitse Venselaar
ML Fundamentals
DeepLearning.AI Learner Community Event ft. Jan Jitse Venselaar
DeepLearningAI Beginner 5y ago
Encode categorical features using OneHotEncoder or OrdinalEncoder
ML Fundamentals
Encode categorical features using OneHotEncoder or OrdinalEncoder
Data School Beginner 5y ago
Museum leaders and the legacy of Empire
ML Fundamentals
Museum leaders and the legacy of Empire
Saïd Business School, University of Oxford Intermediate 5y ago
Getting ready to learn Python, Mac edition #4: Install and run Python
ML Fundamentals
Getting ready to learn Python, Mac edition #4: Install and run Python
Brandon Rohrer Beginner 5y ago
7.7 Stacking (L07: Ensemble Methods)
ML Fundamentals
7.7 Stacking (L07: Ensemble Methods)
Sebastian Raschka Beginner 5y ago
7.6 Random Forests (L07: Ensemble Methods)
ML Fundamentals
7.6 Random Forests (L07: Ensemble Methods)
Sebastian Raschka Beginner 5y ago
Accelerating Large-Scale Recommenders with NVIDIA Merlin on DGX A100
ML Fundamentals
Accelerating Large-Scale Recommenders with NVIDIA Merlin on DGX A100
NVIDIA Developer Beginner 5y ago
Twitter sentiment analysis by Benson Ruan - Made with TensorFlow.js
ML Fundamentals
Twitter sentiment analysis by Benson Ruan - Made with TensorFlow.js
TensorFlow Intermediate 5y ago
Schedule Python Tasks (in Windows) : Data Science Code
ML Fundamentals
Schedule Python Tasks (in Windows) : Data Science Code
ritvikmath Intermediate 5y ago
We're hosting a Machine Learning Conference!
ML Fundamentals
We're hosting a Machine Learning Conference!
CodeEmporium Beginner 5y ago
Neural Networks from Scratch (NNFS) in Print!
ML Fundamentals
Neural Networks from Scratch (NNFS) in Print!
sentdex Advanced 5y ago
Class 1: Intro and Key Technological Trends Affecting Financial Services
ML Fundamentals
Class 1: Intro and Key Technological Trends Affecting Financial Services
MIT OpenCourseWare Beginner 5y ago
Jeffrey Mew - Supercharge your Data Science workflow | JupyterCon 2020
ML Fundamentals
Jeffrey Mew - Supercharge your Data Science workflow | JupyterCon 2020
JupyterCon Intermediate 5y ago
Difficulties I Faced As A Data Scientist-Sharing My Experience From Start
ML Fundamentals
Difficulties I Faced As A Data Scientist-Sharing My Experience From Start
Krish Naik Beginner 5y ago
Building our first simple GAN
ML Fundamentals
Building our first simple GAN
Aladdin Persson Beginner 5y ago
Saturday Live Q&A Ask Anything  Regarding Data Science
ML Fundamentals
Saturday Live Q&A Ask Anything Regarding Data Science
Krish Naik Intermediate 5y ago
Tutorial 4- Julia For Data Science-String In Julia Along With Indepth Functions
ML Fundamentals
Tutorial 4- Julia For Data Science-String In Julia Along With Indepth Functions
Krish Naik Intermediate 5y ago
An Introduction to Generative Adversarial Networks (GANs)
ML Fundamentals
An Introduction to Generative Adversarial Networks (GANs)
Aladdin Persson Beginner 5y ago
🎨 Log (Almost) Anything with Weights & Biases
ML Fundamentals
🎨 Log (Almost) Anything with Weights & Biases
Weights & Biases Intermediate 5y ago
deeplearning.ai Learner Community Event ft. Roger Smith
ML Fundamentals
deeplearning.ai Learner Community Event ft. Roger Smith
DeepLearningAI Beginner 5y ago
Ines & Sofie — Building Industrial-Strength NLP Pipelines
ML Fundamentals
Ines & Sofie — Building Industrial-Strength NLP Pipelines
Weights & Biases Beginner 5y ago
Getting ready to learn Python, Mac edition #3: Creating and editing text files
ML Fundamentals
Getting ready to learn Python, Mac edition #3: Creating and editing text files
Brandon Rohrer Beginner 5y ago
Updated Best YouTube Channels To Learn Data Science For Free
ML Fundamentals
Updated Best YouTube Channels To Learn Data Science For Free
Krish Naik Beginner 5y ago
W&B Deep Learning Salon - Richard Craib & Aleksa Milosevic
ML Fundamentals
W&B Deep Learning Salon - Richard Craib & Aleksa Milosevic
Weights & Biases Beginner 5y ago
7.5 Gradient Boosting (L07: Ensemble Methods)
ML Fundamentals
7.5 Gradient Boosting (L07: Ensemble Methods)
Sebastian Raschka Beginner 5y ago
Richard Craib on seeking alpha and building the last hedge fund at Numerai
ML Fundamentals
Richard Craib on seeking alpha and building the last hedge fund at Numerai
Weights & Biases Beginner 5y ago
Aleksa Milosevic on how to make your NLP app fast without hurting accuracy
ML Fundamentals
Aleksa Milosevic on how to make your NLP app fast without hurting accuracy
Weights & Biases Intermediate 5y ago
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Advanced Python: Data Science, Testing, and Distribution
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Graphs and Networks
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Introduction to Social Media Analytics
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A Practical Approach to Timeseries Forecasting Using Python
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A Practical Approach to Timeseries Forecasting Using Python
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Analyze Multimodal AI for Business Insights
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Analyze Multimodal AI for Business Insights
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Build & Optimize TensorFlow ML Workflows
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Build & Optimize TensorFlow ML Workflows
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