Foundations

ML Fundamentals

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

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ML Maths Basics
beginner
Manipulate vectors and matrices
Supervised Learning
beginner
Train decision trees, random forests, and neural nets
Unsupervised Learning
intermediate
Apply k-means and DBSCAN clustering
ML Pipelines
intermediate
Engineer features and handle missing data
Finetuning LLMs // Greg Diamos // LLMs in Production Conference III Lightning Talk
ML Fundamentals
Finetuning LLMs // Greg Diamos // LLMs in Production Conference III Lightning Talk
MLOps.community Intermediate 2y ago
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ML Fundamentals ⚡ AI Lesson
Build Machine Learning Applications Easily with Gradio in Python
NeuralNine Intermediate 2y ago
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ML Fundamentals
10/26/23 Dartmouth Master of Engineering in Computer Engineering Webinar
Coursera Intermediate 2y ago
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ML Fundamentals ⚡ AI Lesson
Building A Machine Learning Resume Project From Scratch
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ML Fundamentals
Learn how to stop procrastinating and boost your happiness in these two FREE courses
Coursera Intermediate 2y ago
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ML Fundamentals
How to measure Model Performance? 📈| ML for Everyone #8
ThinkTech Intermediate 2y ago
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ML Fundamentals ⚡ AI Lesson
Detecting Phrases with Data Science : Natural Language Processing
ritvikmath Intermediate 2y ago
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ML Fundamentals
How to Stay Ahead in Tech: Shatter the "Should"s
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ML Fundamentals
Is Linkedin The Best Platform For Applying Data Science Jobs #datascience
Krish Naik 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
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ML Fundamentals
From Faculty to Data Science Thrilling Journey #mlprojects
Krish Naik Intermediate 2y ago
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ML Fundamentals
Predictive Analysis Using Python | Learn to Build Predictive Models | Python Training | Edureka
edureka! 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 ⚡ AI Lesson
Position Encodings (Natural Language Processing at UT Austin)
Greg Durrett Intermediate 2y ago
Income Prediction Machine Learning Project in Python
ML Fundamentals ⚡ AI Lesson
Income Prediction Machine Learning Project in Python
NeuralNine Intermediate 2y ago
Mastering NLP ! TF-IDF Model, TF-IDF vectors,  Unleashing the Power of NLP - Video8 | RKAnalytics
ML Fundamentals
Mastering NLP ! TF-IDF Model, TF-IDF vectors, Unleashing the Power of NLP - Video8 | RKAnalytics
RKDataAnalytics Intermediate 2y ago
Mastering NLP Text Preprocessing: Cleaning the Noise for Powerful Language Analysis  - video2
ML Fundamentals
Mastering NLP Text Preprocessing: Cleaning the Noise for Powerful Language Analysis - video2
RKDataAnalytics Intermediate 2y ago
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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 ⚡ AI Lesson
#35 AI for Good Specialization [Course 1, Week 3, Lesson 1]
DeepLearningAI Intermediate 2y ago
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ML Fundamentals
#34 AI for Good Specialization [Course 1, Week 3, Lesson 1]
DeepLearningAI Intermediate 2y ago
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ML Fundamentals
Course: Machine Learning for Business Decision Optimization
Weights & Biases Intermediate 2y ago
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ML Fundamentals
Greg Michaelson AutoML as it should have always been | JupyterCon 2023
JupyterCon Intermediate 2y ago
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ML Fundamentals
Emilien Schultz How to convince French HSS researchers to use Jupyter Notebooks ?
JupyterCon Intermediate 2y ago
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ML Fundamentals
Want a career that's always in demand?
Coursera Intermediate 2y ago
📣No test scores, transcripts, or applications.
ML Fundamentals
📣No test scores, transcripts, or applications.
Coursera Intermediate 2y ago
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ML Fundamentals
Skipping your bachelor’s degree and diving straight into a master’s degree –
Coursera Intermediate 2y ago
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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 I Behavioral Eval of NLU Models, Pt 2: Analytical Considerations I Spring 2023
ML Fundamentals ⚡ AI Lesson
Stanford XCS224U I Behavioral Eval of NLU Models, Pt 2: Analytical Considerations I Spring 2023
Stanford Online Intermediate 2y ago
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ML Fundamentals ⚡ AI Lesson
Stanford XCS224U: Natural Language Understanding I Homework 3 I Spring 2023
Stanford Online Intermediate 2y ago
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ML Fundamentals
Stanford XCS224U: NLU I Information Retrieval, Part 1: Guiding Ideas 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 ⚡ AI Lesson
Stanford XCS224U: NLU I Contextual Word Representations, Part 9: Distillation I Spring 2023
Stanford Online Intermediate 2y ago
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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
BentoML Tutorial: Build Production Grade AI Applications
ML Fundamentals
BentoML Tutorial: Build Production Grade AI Applications
Krish Naik 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
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 ⚡ AI Lesson
#32 AI for Good Specialization [Course 1, Week 3, Lesson 1]
DeepLearningAI Intermediate 2y ago
#31 AI for Good Specialization [Course 1, Week 3, Lesson 1]
ML Fundamentals
#31 AI for Good Specialization [Course 1, Week 3, Lesson 1]
DeepLearningAI Intermediate 2y ago
#30 AI for Good Specialization [Course 1, Week 3, Lesson 1]
ML Fundamentals
#30 AI for Good Specialization [Course 1, Week 3, Lesson 1]
DeepLearningAI Intermediate 2y ago
#29 AI for Good Specialization [Course 1, Week 3, Lesson 1]
ML Fundamentals
#29 AI for Good Specialization [Course 1, Week 3, Lesson 1]
DeepLearningAI Intermediate 2y ago
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ML Fundamentals
#18 AI for Good Specialization [Course 1, Week 2, Lesson 1]
DeepLearningAI Intermediate 2y ago
#16 AI for Good Specialization [Course 1, Week 2, Lesson 1]
ML Fundamentals ⚡ AI Lesson
#16 AI for Good Specialization [Course 1, Week 2, Lesson 1]
DeepLearningAI Intermediate 2y ago
Giuseppe Angelo Porcelli   Boost productivity with generative AI and scalable development using Jupy
ML Fundamentals ⚡ AI Lesson
Giuseppe Angelo Porcelli Boost productivity with generative AI and scalable development using Jupy
JupyterCon Intermediate 2y ago
📚 Continue on Coursera External links · Free to audit
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Preparing for AI-900: Microsoft Azure AI Fundamentals exam
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Self-paced
Preparing for AI-900: Microsoft Azure AI Fundamentals exam
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Graphs and Networks
📚 External: Coursera ↗
Self-paced
Graphs and Networks
Opens on Coursera ↗
Machine Learning with PySpark: Customer Churn Analysis
📚 External: Coursera ↗
Self-paced
Machine Learning with PySpark: Customer Churn Analysis
Opens on Coursera ↗
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📚 External: Coursera ↗
Self-paced
Basic Math: Derivatives
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Apply SOLID Design to Optimize Java ML
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Self-paced
Apply SOLID Design to Optimize Java ML
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Modelos predictivos con aprendizaje automático
📚 External: Coursera ↗
Self-paced
Modelos predictivos con aprendizaje automático
Opens on Coursera ↗