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📐 ML Fundamentals

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

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Understanding Convolutional Neural Networks | Part 2 / 3 - Wonders of the world CNN with PyTorch
ML Fundamentals
Understanding Convolutional Neural Networks | Part 2 / 3 - Wonders of the world CNN with PyTorch
DeepFindr Intermediate 5y ago
Visual Illusions Deceiving Neural Networks
ML Fundamentals
Visual Illusions Deceiving Neural Networks
Data Skeptic Intermediate 5y ago
Last Live Q&A Of 2020- Ask Anything Related  To Data Science
ML Fundamentals
Last Live Q&A Of 2020- Ask Anything Related To Data Science
Krish Naik Intermediate 5y ago
W&B Deep Learning Salon - ML@B Project Showcase
ML Fundamentals
W&B Deep Learning Salon - ML@B Project Showcase
Weights & Biases Intermediate 5y ago
ML @ Berkeley Teams present on gesture detection, capsule networks, and adversarial attacks.
ML Fundamentals
ML @ Berkeley Teams present on gesture detection, capsule networks, and adversarial attacks.
Weights & Biases Intermediate 5y ago
Predictive Disease Risk Modeling at 23andMe with Subarna Sinha - #436
ML Fundamentals
Predictive Disease Risk Modeling at 23andMe with Subarna Sinha - #436
The TWIML AI Podcast with Sam Charrington Intermediate 5y ago
Deep learning for (almost) any text classification problem (binary, multi-class, multi-label)
ML Fundamentals
Deep learning for (almost) any text classification problem (binary, multi-class, multi-label)
Abhishek Thakur Intermediate 5y ago
Deploying Machine Learning Models Online with Watson Machine Learning | Python Scikit-Learn
ML Fundamentals
Deploying Machine Learning Models Online with Watson Machine Learning | Python Scikit-Learn
Nicholas Renotte Intermediate 5y ago
Productionizing Time-Series Workloads at Siemens Energy with Edgar Bahilo Rodriguez - #439
ML Fundamentals
Productionizing Time-Series Workloads at Siemens Energy with Edgar Bahilo Rodriguez - #439
The TWIML AI Podcast with Sam Charrington Intermediate 5y ago
Pillars 1 & 2: Are We Close to a Deal? Other Views
ML Fundamentals
Pillars 1 & 2: Are We Close to a Deal? Other Views
Saïd Business School, University of Oxford Intermediate 5y ago
Pillars 1 & 2: Are We Close to a Deal? Views from the Inclusive Framework Steering Group
ML Fundamentals
Pillars 1 & 2: Are We Close to a Deal? Views from the Inclusive Framework Steering Group
Saïd Business School, University of Oxford Intermediate 5y ago
Talks # 16: Issam Laradji; Build Large-Scale ML Projects & Manage Thousands of Experiments
ML Fundamentals
Talks # 16: Issam Laradji; Build Large-Scale ML Projects & Manage Thousands of Experiments
Abhishek Thakur Intermediate 5y ago
Intelligent AI Chatbot in Python
ML Fundamentals
Intelligent AI Chatbot in Python
NeuralNine Intermediate 5y ago
Collaborative Filtering : Data Science Concepts
ML Fundamentals
Collaborative Filtering : Data Science Concepts
ritvikmath Intermediate 5y ago
NVAITC Webinar: Multi-GPU Training using Horovod
ML Fundamentals
NVAITC Webinar: Multi-GPU Training using Horovod
NVIDIA Developer Intermediate 5y ago
NVAITC Webinar: Linear Regression in PyTorch
ML Fundamentals
NVAITC Webinar: Linear Regression in PyTorch
NVIDIA Developer Intermediate 5y ago
Soft Margin SVM : Data Science Concepts
ML Fundamentals
Soft Margin SVM : Data Science Concepts
ritvikmath Intermediate 5y ago
PyTorch Mobile and Android Neural Networks API | PyTorch Developer Day 2020
ML Fundamentals
PyTorch Mobile and Android Neural Networks API | PyTorch Developer Day 2020
PyTorch Intermediate 5y ago
TorchAudio | PyTorch Developer Day 2020
ML Fundamentals
TorchAudio | PyTorch Developer Day 2020
PyTorch Intermediate 5y ago
Handling Imbalanced Dataset Using Cost Sensitive Neural Networks- Credit Card Fraud Detection
ML Fundamentals
Handling Imbalanced Dataset Using Cost Sensitive Neural Networks- Credit Card Fraud Detection
Krish Naik Intermediate 5y ago
Let's Build a Language Translator! LIVE
ML Fundamentals
Let's Build a Language Translator! LIVE
Siraj Raval Intermediate 5y ago
Chia liang Kao - Practical Enterprise JupyterHub Deployment and MLOps with PrimeHub| JupyterCon 2020
ML Fundamentals
Chia liang Kao - Practical Enterprise JupyterHub Deployment and MLOps with PrimeHub| JupyterCon 2020
JupyterCon Intermediate 5y ago
Karla Spuldaro - Building AI Pipelines with Elyra | JupyterCon 2020
ML Fundamentals
Karla Spuldaro - Building AI Pipelines with Elyra | JupyterCon 2020
JupyterCon Intermediate 5y ago
AIDEN physio assistant by Shivay Lamba - Made with TensorFlow.js
ML Fundamentals
AIDEN physio assistant by Shivay Lamba - Made with TensorFlow.js
TensorFlow Intermediate 5y ago
Inside TensorFlow: TF NumPy
ML Fundamentals
Inside TensorFlow: TF NumPy
TensorFlow Intermediate 5y ago
🧹 Tune Hyperparameters Easily with W&B Sweeps
ML Fundamentals
🧹 Tune Hyperparameters Easily with W&B Sweeps
Weights & Biases Intermediate 5y ago
Adrien Treuille — Building Blazingly Fast Tools That People Love
ML Fundamentals
Adrien Treuille — Building Blazingly Fast Tools That People Love
Weights & Biases Intermediate 5y ago
Investing in Procurement Builds Resilience
ML Fundamentals
Investing in Procurement Builds Resilience
Saïd Business School, University of Oxford Intermediate 5y ago
High-Level API for Autograd | PyTorch Developer Day 2020
ML Fundamentals
High-Level API for Autograd | PyTorch Developer Day 2020
PyTorch Intermediate 5y ago
Complex Numbers in PyTorch | PyTorch Developer Day 2020
ML Fundamentals
Complex Numbers in PyTorch | PyTorch Developer Day 2020
PyTorch Intermediate 5y ago
SVM (The Math) : Data Science Concepts
ML Fundamentals
SVM (The Math) : Data Science Concepts
ritvikmath Intermediate 5y ago
🏺 Version Control Data and Models with W&B Artifacts
ML Fundamentals
🏺 Version Control Data and Models with W&B Artifacts
Weights & Biases Intermediate 5y ago
AdaBoost : Data Science Concepts
ML Fundamentals
AdaBoost : Data Science Concepts
ritvikmath Intermediate 5y ago
Ineuron's Detailed Course Content Discussion Of ML And DL- Affordable AI Education
ML Fundamentals
Ineuron's Detailed Course Content Discussion Of ML And DL- Affordable AI Education
Krish Naik Intermediate 5y ago
Robert Nishihara — The State of Distributed Computing in ML
ML Fundamentals
Robert Nishihara — The State of Distributed Computing in ML
Weights & Biases Intermediate 5y ago
TFIDF : Data Science Concepts
ML Fundamentals
TFIDF : Data Science Concepts
ritvikmath Intermediate 5y ago
Charles Frye on using machine learning to multiply by one
ML Fundamentals
Charles Frye on using machine learning to multiply by one
Weights & Biases Intermediate 5y ago
⚡ Supercharge your Training with PyTorch Lightning + Weights & Biases
ML Fundamentals
⚡ Supercharge your Training with PyTorch Lightning + Weights & Biases
Weights & Biases Intermediate 5y ago
Late Night Talks-Live Q&A-Ask Anything Related Data Science
ML Fundamentals
Late Night Talks-Live Q&A-Ask Anything Related Data Science
Krish Naik Intermediate 5y ago
Saturday Live Q&A Ask Anything Related Data Science
ML Fundamentals
Saturday Live Q&A Ask Anything Related Data Science
Krish Naik Intermediate 5y ago
Important Interview Questions On Convolution Neural Network- Deep Learning
ML Fundamentals
Important Interview Questions On Convolution Neural Network- Deep Learning
Krish Naik Intermediate 5y ago
Praveen Kanamarlapud - Kernel Life Cycle Management | JupyterCon 2020
ML Fundamentals
Praveen Kanamarlapud - Kernel Life Cycle Management | JupyterCon 2020
JupyterCon Intermediate 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
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
Jeffrey Mew - Supercharge your Data Science workflow | JupyterCon 2020
ML Fundamentals
Jeffrey Mew - Supercharge your Data Science workflow | JupyterCon 2020
JupyterCon 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
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
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Introduction to Statistics
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Introduction to Statistics
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Fundamentals of Deep Learning
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Fundamentals of Deep Learning
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Probabilistic Deep Learning with TensorFlow 2
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Probabilistic Deep Learning with TensorFlow 2
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A Crash Course in Data Science
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A Crash Course in Data Science
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Optimize TensorFlow Models For Deployment with TensorRT
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Optimize TensorFlow Models For Deployment with TensorRT
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Measure Vector Similarity
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Measure Vector Similarity
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