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📐 ML Fundamentals

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

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ML Fundamentals
📣No test scores, transcripts, or applications.
Coursera Intermediate 2y ago
Detecting Phrases with Data Science : Natural Language Processing
ML Fundamentals
Detecting Phrases with Data Science : Natural Language Processing
ritvikmath Intermediate 2y ago
Skipping your bachelor’s degree and diving straight into a master’s degree –
ML Fundamentals
Skipping your bachelor’s degree and diving straight into a master’s degree –
Coursera Intermediate 2y ago
How to Stay Ahead in Tech: Shatter the "Should"s
ML Fundamentals
How to Stay Ahead in Tech: Shatter the "Should"s
Jean Lee Intermediate 2y ago
Is Linkedin The Best Platform For Applying Data Science Jobs #datascience
ML Fundamentals
Is Linkedin The Best Platform For Applying Data Science Jobs #datascience
Krish Naik Intermediate 2y ago
TPU in GKE: What you need to know
ML Fundamentals
TPU in GKE: What you need to know
Google Cloud Tech Intermediate 2y ago
Data Science: Past, Present & Future | Dr. Vikas Agrawal, Consulting Data Scientist @Oracle | ET-02
ML Fundamentals
Data Science: Past, Present & Future | Dr. Vikas Agrawal, Consulting Data Scientist @Oracle | ET-02
Analytics Vidhya Intermediate 2y ago
From Faculty to Data Science Thrilling Journey #mlprojects
ML Fundamentals
From Faculty to Data Science Thrilling Journey #mlprojects
Krish Naik Intermediate 2y ago
MLOps with Weights & Biases | PyImageSearch | Live learning
ML Fundamentals
MLOps with Weights & Biases | PyImageSearch | Live learning
PyImageSearch Intermediate 2y ago
Store, transform, analyze, and access health data with AWS Health Services
ML Fundamentals
Store, transform, analyze, and access health data with AWS Health Services
AWS Developers Intermediate 2y ago
Accelerate your ML journey with Amazon SageMaker low-code ML tools - AWS Virtual Workshop
ML Fundamentals
Accelerate your ML journey with Amazon SageMaker low-code ML tools - AWS Virtual Workshop
AWS Developers Intermediate 2y ago
PyTorch Project: Handwritten Digit Recognition
ML Fundamentals
PyTorch Project: Handwritten Digit Recognition
NeuralNine Intermediate 2y ago
CS371N/388 NLP "trailer" (fall 2023)
ML Fundamentals
CS371N/388 NLP "trailer" (fall 2023)
Greg Durrett Intermediate 2y ago
Stanford CS229 I Societal impact of ML (Guest lecture by Prof. James Zou) I 2022 I Lecture 18
ML Fundamentals
Stanford CS229 I Societal impact of ML (Guest lecture by Prof. James Zou) I 2022 I Lecture 18
Stanford Online Intermediate 2y ago
Stanford XCS224U: NLU I Analysis Methods for NLU, Part 3: Feature Attribution I Spring 2023
ML Fundamentals
Stanford XCS224U: NLU I Analysis Methods for NLU, Part 3: Feature Attribution I Spring 2023
Stanford Online Intermediate 2y ago
Position Encodings (Natural Language Processing at UT Austin)
ML Fundamentals
Position Encodings (Natural Language Processing at UT Austin)
Greg Durrett Intermediate 2y ago
Income Prediction Machine Learning Project in Python
ML Fundamentals
Income Prediction Machine Learning Project in Python
NeuralNine Intermediate 2y ago
Build your own Stable Doodle: Sketch to Image
ML Fundamentals
Build your own Stable Doodle: Sketch to Image
Abhishek Thakur Intermediate 2y ago
#35 AI for Good Specialization [Course 1, Week 3, Lesson 1]
ML Fundamentals
#35 AI for Good Specialization [Course 1, Week 3, Lesson 1]
DeepLearningAI Intermediate 2y ago
#34 AI for Good Specialization [Course 1, Week 3, Lesson 1]
ML Fundamentals
#34 AI for Good Specialization [Course 1, Week 3, Lesson 1]
DeepLearningAI Intermediate 2y ago
How To Apply For Data Science Jobs? #mlprojects #datascience #machinelearning
ML Fundamentals
How To Apply For Data Science Jobs? #mlprojects #datascience #machinelearning
Krish Naik Intermediate 2y ago
Computer Science Degree Online from CU Boulder
ML Fundamentals
Computer Science Degree Online from CU Boulder
Coursera Intermediate 2y ago
Stanford XCS224U: NLU I Analysis Methods for NLU, Part 2: Probing I Spring 2023
ML Fundamentals
Stanford XCS224U: NLU I Analysis Methods for NLU, Part 2: Probing I Spring 2023
Stanford Online Intermediate 2y ago
Stanford XCS224U: NLU I Behavioral Eval of NLU Models, Pt 7: DynaSent and Conclusion I Spring 2023
ML Fundamentals
Stanford XCS224U: NLU I Behavioral Eval of NLU Models, Pt 7: DynaSent and Conclusion I Spring 2023
Stanford Online Intermediate 2y ago
Stanford XCS224U I Behavioral Eval of NLU Models, Pt 2: Analytical Considerations I Spring 2023
ML Fundamentals
Stanford XCS224U I Behavioral Eval of NLU Models, Pt 2: Analytical Considerations I Spring 2023
Stanford Online Intermediate 2y ago
Stanford XCS224U: Natural Language Understanding I Homework 3 I Spring 2023
ML Fundamentals
Stanford XCS224U: Natural Language Understanding I Homework 3 I Spring 2023
Stanford Online Intermediate 2y ago
Stanford XCS224U: NLU I Information Retrieval, Part 5: Datasets and Conclusion I Spring 2023
ML Fundamentals
Stanford XCS224U: NLU I Information Retrieval, Part 5: Datasets and Conclusion I Spring 2023
Stanford Online Intermediate 2y ago
Stanford XCS224U: NLU I Information Retrieval, Part 4: Neural IR I Spring 2023
ML Fundamentals
Stanford XCS224U: NLU I Information Retrieval, Part 4: Neural IR I Spring 2023
Stanford Online Intermediate 2y ago
Stanford XCS224U: NLU I Information Retrieval, Part 2: Classical IR I Spring 2023
ML Fundamentals
Stanford XCS224U: NLU I Information Retrieval, Part 2: Classical IR I Spring 2023
Stanford Online Intermediate 2y ago
Stanford XCS224U: NLU I Information Retrieval, Part 1: Guiding Ideas I Spring 2023
ML Fundamentals
Stanford XCS224U: NLU I Information Retrieval, Part 1: Guiding Ideas I Spring 2023
Stanford Online Intermediate 2y ago
Stanford XCS224U: Natural Language Understanding I Homework 2 I Spring 2023
ML Fundamentals
Stanford XCS224U: Natural Language Understanding I Homework 2 I Spring 2023
Stanford Online Intermediate 2y ago
Stanford XCS224U: NLU I Contextual Word Representations, Part 10: Wrap-up I Spring 2023
ML Fundamentals
Stanford XCS224U: NLU I Contextual Word Representations, Part 10: Wrap-up I Spring 2023
Stanford Online Intermediate 2y ago
Stanford XCS224U: NLU I Contextual Word Representations, Part 9: Distillation I Spring 2023
ML Fundamentals
Stanford XCS224U: NLU I Contextual Word Representations, Part 9: Distillation I Spring 2023
Stanford Online Intermediate 2y ago
Stanford XCS224U: NLU I Contextual Word Representations, Part 7: ELECTRA I Spring 2023
ML Fundamentals
Stanford XCS224U: NLU I Contextual Word Representations, Part 7: ELECTRA I Spring 2023
Stanford Online Intermediate 2y ago
Stanford XCS224U: NLU I Contextual Word Representations, Part 6: RoBERTa I Spring 2023
ML Fundamentals
Stanford XCS224U: NLU I Contextual Word Representations, Part 6: RoBERTa I Spring 2023
Stanford Online Intermediate 2y ago
Stanford XCS224U: NLU I Contextual Word Representations, Part 5: BERT I Spring 2023
ML Fundamentals
Stanford XCS224U: NLU I Contextual Word Representations, Part 5: BERT I Spring 2023
Stanford Online Intermediate 2y ago
Stanford XCS224U: NLU I Contextual Word Representations, Part 3: Positional Encoding I Spring 2023
ML Fundamentals
Stanford XCS224U: NLU I Contextual Word Representations, Part 3: Positional Encoding I Spring 2023
Stanford Online Intermediate 2y ago
Stanford XCS224U: NLU I Contextual Word Representations, Part 1: Guiding Ideas I Spring 2023
ML Fundamentals
Stanford XCS224U: NLU I Contextual Word Representations, Part 1: Guiding Ideas I Spring 2023
Stanford Online Intermediate 2y ago
Stanford CS229 I Basic concepts in RL, Value iteration, Policy iteration I 2022 I Lecture 17
ML Fundamentals
Stanford CS229 I Basic concepts in RL, Value iteration, Policy iteration I 2022 I Lecture 17
Stanford Online Intermediate 2y ago
BentoML Tutorial: Build Production Grade AI Applications
ML Fundamentals
BentoML Tutorial: Build Production Grade AI Applications
Krish Naik Intermediate 2y ago
Stanford CS229 I K-Means, GMM (non EM), Expectation Maximization I 2022 I Lecture 12
ML Fundamentals
Stanford CS229 I K-Means, GMM (non EM), Expectation Maximization I 2022 I Lecture 12
Stanford Online Intermediate 2y ago
Leveraging ML Inference for Generative AI on AWS - AWS ML Heroes in 15
ML Fundamentals
Leveraging ML Inference for Generative AI on AWS - AWS ML Heroes in 15
AWS Developers Intermediate 2y ago
Stanford CS229 I Weighted Least Squares, Logistic regression, Newton's Method I 2022 I Lecture 3
ML Fundamentals
Stanford CS229 I Weighted Least Squares, Logistic regression, Newton's Method I 2022 I Lecture 3
Stanford Online Intermediate 2y ago
Analytics in 15: What's New with Amazon EMR
ML Fundamentals
Analytics in 15: What's New with Amazon EMR
AWS Developers Intermediate 2y ago
Deliver high-performance ML models faster with MLOps tools
ML Fundamentals
Deliver high-performance ML models faster with MLOps tools
AWS Developers Intermediate 2y ago
88% of employers agree that a Professional Certificate strengthens a candidate’s application.
ML Fundamentals
88% of employers agree that a Professional Certificate strengthens a candidate’s application.
Coursera Intermediate 2y ago
#33 AI for Good Specialization [Course 1, Week 3, Lesson 1]
ML Fundamentals
#33 AI for Good Specialization [Course 1, Week 3, Lesson 1]
DeepLearningAI Intermediate 2y ago
#32 AI for Good Specialization [Course 1, Week 3, Lesson 1]
ML Fundamentals
#32 AI for Good Specialization [Course 1, Week 3, Lesson 1]
DeepLearningAI Intermediate 2y ago
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