Foundations

ML Fundamentals

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

3813
lessons
ASU's Online Master of Computer Science - Admissions Webinar - March 2019
📐 ML Fundamentals
ASU's Online Master of Computer Science - Admissions Webinar - March 2019
Coursera Intermediate 7y ago
Complete Life Cycle of a Data Science Project
📐 ML Fundamentals
Complete Life Cycle of a Data Science Project
Krish Naik Intermediate 7y ago
Will Graphene Replace Silicon? - Computerphile
📐 ML Fundamentals
Will Graphene Replace Silicon? - Computerphile
Computerphile Intermediate 7y ago
Building a Flutter Speech to Text/Speech Recognizer Application
📐 ML Fundamentals
Building a Flutter Speech to Text/Speech Recognizer Application
Tensor Programming Intermediate 7y ago
Have You Been Pwned? - Computerphile
📐 ML Fundamentals
Have You Been Pwned? - Computerphile
Computerphile Intermediate 7y ago
Checksums and Hamming distance
📐 ML Fundamentals
Checksums and Hamming distance
Ben Eater Intermediate 7y ago
Dart Project - Building a Client Side Tetris Game - Part Two
📐 ML Fundamentals
Dart Project - Building a Client Side Tetris Game - Part Two
Tensor Programming Intermediate 7y ago
Netease Youdao: AI Leader in Online Education in China (TF Dev Summit '19)
📐 ML Fundamentals
Netease Youdao: AI Leader in Online Education in China (TF Dev Summit '19)
TensorFlow Intermediate 7y ago
Deep Learning in Optics with Aydogan Ozcan - TWiML Talk #237
📐 ML Fundamentals
Deep Learning in Optics with Aydogan Ozcan - TWiML Talk #237
The TWIML AI Podcast with Sam Charrington Intermediate 7y ago
Hickory the Bulldog Overnight
📐 ML Fundamentals
Hickory the Bulldog Overnight
Jeff Heaton Intermediate 7y ago
Hickory the Bulldog Still Remembers us After Boarding
📐 ML Fundamentals
Hickory the Bulldog Still Remembers us After Boarding
Jeff Heaton Intermediate 7y ago
Gender Classifier and Age Estimator using Resnet Convolution Neural Network
📐 ML Fundamentals
Gender Classifier and Age Estimator using Resnet Convolution Neural Network
Krish Naik Intermediate 7y ago
How to take advantage of GPUs and TPUs for your ML project (Coding TensorFlow)
📐 ML Fundamentals
How to take advantage of GPUs and TPUs for your ML project (Coding TensorFlow)
TensorFlow Intermediate 7y ago
Neural Ordinary Differential Equations
📐 ML Fundamentals
Neural Ordinary Differential Equations
Yannic Kilcher Intermediate 7y ago
Microwaving Grapes Makes Plasma
📐 ML Fundamentals
Microwaving Grapes Makes Plasma
Veritasium Intermediate 7y ago
Arizona State University Master of Computer Science Admissions Webinar
📐 ML Fundamentals
Arizona State University Master of Computer Science Admissions Webinar
Coursera Intermediate 7y ago
Spinning Black Holes
📐 ML Fundamentals
Spinning Black Holes
Veritasium Intermediate 7y ago
a16z Podcast | Holy Non Sequiturs, Batman: What Disruption Theory Is ... and Isn't
📐 ML Fundamentals
a16z Podcast | Holy Non Sequiturs, Batman: What Disruption Theory Is ... and Isn't
a16z Intermediate 7y ago
Dart Project - Building a Client Side Tetris Game - Part One
📐 ML Fundamentals
Dart Project - Building a Client Side Tetris Game - Part One
Tensor Programming Intermediate 7y ago
Floating Point Numbers (Part2: Fp Addition) - Computerphile
📐 ML Fundamentals
Floating Point Numbers (Part2: Fp Addition) - Computerphile
Computerphile Intermediate 7y ago
Hickory the Bulldog Whining: Two Ages:1 Year Apart
📐 ML Fundamentals
Hickory the Bulldog Whining: Two Ages:1 Year Apart
Jeff Heaton Intermediate 7y ago
Having a Conversation with Hickory the Bulldog
📐 ML Fundamentals
Having a Conversation with Hickory the Bulldog
Jeff Heaton Intermediate 7y ago
Hickory the Bulldog Staying at Boarding (3 hours in 3 minutes)
📐 ML Fundamentals
Hickory the Bulldog Staying at Boarding (3 hours in 3 minutes)
Jeff Heaton Intermediate 7y ago
Floating Point Numbers (Part1: Fp vs Fixed) - Computerphile
📐 ML Fundamentals
Floating Point Numbers (Part1: Fp vs Fixed) - Computerphile
Computerphile Intermediate 7y ago
Implement Transfer Learning with a generic Code Template
📐 ML Fundamentals
Implement Transfer Learning with a generic Code Template
Krish Naik Intermediate 7y ago
Construya una red neuronal para realizar la clasificación - Episodio 3
📐 ML Fundamentals
Construya una red neuronal para realizar la clasificación - Episodio 3
TensorFlow Intermediate 7y ago
Create custom Alexa Skill- Lambda function- Part2
📐 ML Fundamentals
Create custom Alexa Skill- Lambda function- Part2
Krish Naik Intermediate 7y ago
K Means Clustering Intuition
📐 ML Fundamentals
K Means Clustering Intuition
Krish Naik Intermediate 7y ago
Video Game & Complex Bokeh Blurs - Computerphile
📐 ML Fundamentals
Video Game & Complex Bokeh Blurs - Computerphile
Computerphile Intermediate 7y ago
Build a deep neural network in 4 mins with TensorFlow in Colab
📐 ML Fundamentals
Build a deep neural network in 4 mins with TensorFlow in Colab
TensorFlow Intermediate 7y ago
K Nearest Neighbor classification with Intuition and practical solution
📐 ML Fundamentals
K Nearest Neighbor classification with Intuition and practical solution
Krish Naik Intermediate 7y ago
Why Google Cloud?  - How Google does Machine Learning from Google Cloud #4
📐 ML Fundamentals
Why Google Cloud? - How Google does Machine Learning from Google Cloud #4
Coursera Intermediate 7y ago
Why Google? - How Google does Machine Learning from Google Cloud #3
📐 ML Fundamentals
Why Google? - How Google does Machine Learning from Google Cloud #3
Coursera Intermediate 7y ago
Specialization Agenda - How Google does Machine Learning from Google Cloud #2
📐 ML Fundamentals
Specialization Agenda - How Google does Machine Learning from Google Cloud #2
Coursera Intermediate 7y ago
GridSearchCV- Select the best hyperparameter for any Classification Model
📐 ML Fundamentals
GridSearchCV- Select the best hyperparameter for any Classification Model
Krish Naik Intermediate 7y ago
January 30, 2019 - MCIT Online Admissions Webinar with Chris Murphy
📐 ML Fundamentals
January 30, 2019 - MCIT Online Admissions Webinar with Chris Murphy
Coursera Intermediate 7y ago
Precision, Recall and F1-Score
📐 ML Fundamentals
Precision, Recall and F1-Score
Krish Naik Intermediate 7y ago
Prepare su conjunto de datos para el aprendizaje automático - Episodio 2
📐 ML Fundamentals
Prepare su conjunto de datos para el aprendizaje automático - Episodio 2
TensorFlow Intermediate 7y ago
How Secure Shell Works (SSH) - Computerphile
📐 ML Fundamentals
How Secure Shell Works (SSH) - Computerphile
Computerphile Intermediate 7y ago
Hickory Rumble 2
📐 ML Fundamentals
Hickory Rumble 2
Jeff Heaton Intermediate 7y ago
X & the Book Code - Computerphile
📐 ML Fundamentals
X & the Book Code - Computerphile
Computerphile Intermediate 7y ago
Deep learning for fundamental sciences using high-performance computing (O’Reilly AI Conference)
📐 ML Fundamentals
Deep learning for fundamental sciences using high-performance computing (O’Reilly AI Conference)
TensorFlow Intermediate 7y ago
Natural Language Processing|Lemmatization
📐 ML Fundamentals
Natural Language Processing|Lemmatization
Krish Naik Intermediate 7y ago
Error Correction & International Book Codes - Computerphile
📐 ML Fundamentals
Error Correction & International Book Codes - Computerphile
Computerphile Intermediate 7y ago
Additional Processors - Computerphile
📐 ML Fundamentals
Additional Processors - Computerphile
Computerphile Intermediate 7y ago
Advanced Flutter Project - Third BLoC, StreamControllers and Periodic Observables - Part Six
📐 ML Fundamentals
Advanced Flutter Project - Third BLoC, StreamControllers and Periodic Observables - Part Six
Tensor Programming Intermediate 7y ago
Separable Filters and a Bauble - Computerphile
📐 ML Fundamentals
Separable Filters and a Bauble - Computerphile
Computerphile Intermediate 7y ago
Advanced Flutter Project - Filtering Contributions and Building Aesthetics - Part Five
📐 ML Fundamentals
Advanced Flutter Project - Filtering Contributions and Building Aesthetics - Part Five
Tensor Programming Intermediate 7y ago
📚 Coursera Courses Opens on Coursera · Free to audit
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Training, Evaluating, and Monitoring Machine Learning Models
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Self-paced
Training, Evaluating, and Monitoring Machine Learning Models
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Semantic Segmentation with Amazon Sagemaker
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Self-paced
Semantic Segmentation with Amazon Sagemaker
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Mathematical Thinking in Computer Science
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Self-paced
Mathematical Thinking in Computer Science
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Introduction to Generative AI - Deutsch
📚 Coursera Course ↗
Self-paced
Introduction to Generative AI - Deutsch
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AI for Medical Prognosis
📚 Coursera Course ↗
Self-paced
AI for Medical Prognosis
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Become AI-Ready: Deep Learning Fundamentals
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Self-paced
Become AI-Ready: Deep Learning Fundamentals
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