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📐 ML Fundamentals

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

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Bias Correction of Exponentially Weighted Averages (C2W2L05)
ML Fundamentals
Bias Correction of Exponentially Weighted Averages (C2W2L05)
DeepLearningAI Beginner 8y ago
Understanding Mini-Batch Gradient Dexcent (C2W2L02)
ML Fundamentals
Understanding Mini-Batch Gradient Dexcent (C2W2L02)
DeepLearningAI Beginner 8y ago
Cardiologist Level Arrhythmia Detection with CNNs
ML Fundamentals
Cardiologist Level Arrhythmia Detection with CNNs
Data Skeptic Intermediate 8y ago
Machine Teaching for Better Machine Learning with Mark Hammond - #43
ML Fundamentals
Machine Teaching for Better Machine Learning with Mark Hammond - #43
The TWIML AI Podcast with Sam Charrington Beginner 8y ago
PYTHON && POETRY | 100 Days of Code 16
ML Fundamentals
PYTHON && POETRY | 100 Days of Code 16
Daniel Bourke Beginner 8y ago
[MINI] Recurrent Neural Networks
ML Fundamentals
[MINI] Recurrent Neural Networks
Data Skeptic Beginner 8y ago
Essentials: Functional Programming's Y Combinator - Computerphile
ML Fundamentals
Essentials: Functional Programming's Y Combinator - Computerphile
Computerphile Intermediate 8y ago
Pandas Time Series Analysis 5: Period and PeriodIndex
ML Fundamentals
Pandas Time Series Analysis 5: Period and PeriodIndex
codebasics Beginner 8y ago
Graduating From the Udacity Deep Learning Nanodegree | 100 Days of Code 15
ML Fundamentals
Graduating From the Udacity Deep Learning Nanodegree | 100 Days of Code 15
Daniel Bourke Beginner 8y ago
Simple linear regression model. Geometrical representation
ML Fundamentals
Simple linear regression model. Geometrical representation
365 Data Science Beginner 8y ago
The linear regression model
ML Fundamentals
The linear regression model
365 Data Science Beginner 8y ago
Web Scale Engineering for Machine Learning with Sharath Rao - #40
ML Fundamentals
Web Scale Engineering for Machine Learning with Sharath Rao - #40
The TWIML AI Podcast with Sam Charrington Intermediate 8y ago
Pandas Time Series Analysis 4: to_datetime
ML Fundamentals
Pandas Time Series Analysis 4: to_datetime
codebasics Beginner 8y ago
GNU/Linux & Video Editing - Computerphile
ML Fundamentals
GNU/Linux & Video Editing - Computerphile
Computerphile Intermediate 8y ago
Dimensionality Reduction - The Math of Intelligence #5
ML Fundamentals
Dimensionality Reduction - The Math of Intelligence #5
Siraj Raval Beginner 8y ago
Mini Batch Gradient Descent (C2W2L01)
ML Fundamentals
Mini Batch Gradient Descent (C2W2L01)
DeepLearningAI Beginner 8y ago
The Problem of Local Optima (C2W3L10)
ML Fundamentals
The Problem of Local Optima (C2W3L10)
DeepLearningAI Beginner 8y ago
Exponentially Weighted Averages (C2W2L03)
ML Fundamentals
Exponentially Weighted Averages (C2W2L03)
DeepLearningAI Beginner 8y ago
Gradient Checking Implementation Notes (C2W1L14)
ML Fundamentals
Gradient Checking Implementation Notes (C2W1L14)
DeepLearningAI Beginner 8y ago
Learning Rate Decay (C2W2L09)
ML Fundamentals
Learning Rate Decay (C2W2L09)
DeepLearningAI Beginner 8y ago
Gradient Checking (C2W1L13)
ML Fundamentals
Gradient Checking (C2W1L13)
DeepLearningAI Beginner 8y ago
Using an Appropriate Scale (C2W3L02)
ML Fundamentals
Using an Appropriate Scale (C2W3L02)
DeepLearningAI Beginner 8y ago
deeplearning.ai's Heroes of Deep Learning: Andrej Karpathy
ML Fundamentals
deeplearning.ai's Heroes of Deep Learning: Andrej Karpathy
DeepLearningAI Beginner 8y ago
deeplearning.ai's Heroes of Deep Learning: Pieter Abbeel
ML Fundamentals
deeplearning.ai's Heroes of Deep Learning: Pieter Abbeel
DeepLearningAI Beginner 8y ago
deeplearning.ai's Heroes of Deep Learning: Ian Goodfellow
ML Fundamentals
deeplearning.ai's Heroes of Deep Learning: Ian Goodfellow
DeepLearningAI Beginner 8y ago
deeplearning.ai's Heroes of Deep Learning: Ruslan Salakhutdinov
ML Fundamentals
deeplearning.ai's Heroes of Deep Learning: Ruslan Salakhutdinov
DeepLearningAI Beginner 8y ago
deeplearning.ai's Heroes of Deep Learning: Yoshua Bengio
ML Fundamentals
deeplearning.ai's Heroes of Deep Learning: Yoshua Bengio
DeepLearningAI Beginner 8y ago
deeplearning.ai's Heroes of Deep Learning: Yuanqing Lin
ML Fundamentals
deeplearning.ai's Heroes of Deep Learning: Yuanqing Lin
DeepLearningAI Beginner 8y ago
Forward and Backward Propagation (C1W4L06)
ML Fundamentals
Forward and Backward Propagation (C1W4L06)
DeepLearningAI Beginner 8y ago
Central limit theorem
ML Fundamentals
Central limit theorem
365 Data Science Beginner 8y ago
The Normal Distribution
ML Fundamentals
The Normal Distribution
365 Data Science Beginner 8y ago
What is a distribution?
ML Fundamentals
What is a distribution?
365 Data Science Beginner 8y ago
Skewness
ML Fundamentals
Skewness
365 Data Science Beginner 8y ago
Population vs Sample
ML Fundamentals
Population vs Sample
365 Data Science Beginner 8y ago
GENERATING FACES WITH GANs | 100 Days of Code 14
ML Fundamentals
GENERATING FACES WITH GANs | 100 Days of Code 14
Daniel Bourke Beginner 8y ago
Finishing the Treehouse Python Track | 100 Days of Code 13
ML Fundamentals
Finishing the Treehouse Python Track | 100 Days of Code 13
Daniel Bourke Beginner 8y ago
Pandas Time Series Analysis 3: Holidays
ML Fundamentals
Pandas Time Series Analysis 3: Holidays
codebasics Beginner 8y ago
Completing Andrew Ng's Machine Learning Course on Coursera | 100 Days of Code 12
ML Fundamentals
Completing Andrew Ng's Machine Learning Course on Coursera | 100 Days of Code 12
Daniel Bourke Beginner 8y ago
Pandas Time Series Analysis Part 2: date_range
ML Fundamentals
Pandas Time Series Analysis Part 2: date_range
codebasics Beginner 8y ago
Smart Buildings & IoT with Yodit Stanton - #36
ML Fundamentals
Smart Buildings & IoT with Yodit Stanton - #36
The TWIML AI Podcast with Sam Charrington Beginner 8y ago
Reason for ARM (Acorn Archimedes at 30) - Computerphile
ML Fundamentals
Reason for ARM (Acorn Archimedes at 30) - Computerphile
Computerphile Intermediate 8y ago
Pandas Time Series Analysis Part 1: DatetimeIndex and Resample
ML Fundamentals
Pandas Time Series Analysis Part 1: DatetimeIndex and Resample
codebasics Beginner 8y ago
Learning about Generative Adversarial Networks on Udacity | 100 Days of Code 11
ML Fundamentals
Learning about Generative Adversarial Networks on Udacity | 100 Days of Code 11
Daniel Bourke Beginner 8y ago
Estimating Sheep Pain with Facial Recognition
ML Fundamentals
Estimating Sheep Pain with Facial Recognition
Data Skeptic Beginner 8y ago
Arrays vs Linked Lists - Computerphile
ML Fundamentals
Arrays vs Linked Lists - Computerphile
Computerphile Intermediate 8y ago
Expressive AI-Generated Music With Google's Performance RNN with Doug Eck - #32
ML Fundamentals
Expressive AI-Generated Music With Google's Performance RNN with Doug Eck - #32
The TWIML AI Podcast with Sam Charrington Beginner 8y ago
Enhancing Customer Experiences with Emotional AI, w/ Rana el Kaliouby - #35
ML Fundamentals
Enhancing Customer Experiences with Emotional AI, w/ Rana el Kaliouby - #35
The TWIML AI Podcast with Sam Charrington Beginner 8y ago
Video Object Detection at Scale with Reza Zadeh - #34
ML Fundamentals
Video Object Detection at Scale with Reza Zadeh - #34
The TWIML AI Podcast with Sam Charrington Beginner 8y ago