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📐 ML Fundamentals

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

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Who is the Sentdex Audience?
ML Fundamentals
Who is the Sentdex Audience?
sentdex Advanced 6y ago
Making Deep Learning Human with Prof. Gilbert Strang (S1:E3)
ML Fundamentals
Making Deep Learning Human with Prof. Gilbert Strang (S1:E3)
MIT OpenCourseWare Beginner 6y ago
OUTFIGHT: Leveraging Automation & Machine Learning
ML Fundamentals
OUTFIGHT: Leveraging Automation & Machine Learning
SANS Institute Beginner 6y ago
This Neural Network Regenerates…Kind Of 🦎
ML Fundamentals
This Neural Network Regenerates…Kind Of 🦎
Two Minute Papers Beginner 6y ago
AdaBoost in Python - Machine Learning From Scratch 13 - Python Tutorial
ML Fundamentals ⚡ AI Lesson
AdaBoost in Python - Machine Learning From Scratch 13 - Python Tutorial
Patrick Loeber Beginner 6y ago
Differentiable convex optimization layers (TF Dev Summit '20)
ML Fundamentals ⚡ AI Lesson
Differentiable convex optimization layers (TF Dev Summit '20)
TensorFlow Beginner 6y ago
Scaling TensorFlow 2 models to multi-worker GPUs (TF Dev Summit '20)
ML Fundamentals ⚡ AI Lesson
Scaling TensorFlow 2 models to multi-worker GPUs (TF Dev Summit '20)
TensorFlow Advanced 6y ago
Facial Recognition on Video with Python
ML Fundamentals ⚡ AI Lesson
Facial Recognition on Video with Python
sentdex Beginner 6y ago
Live 2020-03-16!!! Naive Bayes
ML Fundamentals
Live 2020-03-16!!! Naive Bayes
StatQuest with Josh Starmer Beginner 6y ago
Upside-Down Reinforcement Learning with Jürgen Schmidhuber - #357
ML Fundamentals ⚡ AI Lesson
Upside-Down Reinforcement Learning with Jürgen Schmidhuber - #357
The TWIML AI Podcast with Sam Charrington Beginner 6y ago
Tutorial 33-  Installing Cuda Toolkit And cuDNN For Deep Learning
ML Fundamentals
Tutorial 33- Installing Cuda Toolkit And cuDNN For Deep Learning
Krish Naik Beginner 6y ago
Demystifying Neural Network: A Beginner's Guide to Machine Learning Fundamentals
ML Fundamentals ⚡ AI Lesson
Demystifying Neural Network: A Beginner's Guide to Machine Learning Fundamentals
What's AI by Louis-François Bouchard Beginner 6y ago
This Neural Network Learned The Style of Famous Illustrators
ML Fundamentals ⚡ AI Lesson
This Neural Network Learned The Style of Famous Illustrators
Two Minute Papers Beginner 6y ago
R Tutorial : Matrix-Matrix Calculations
ML Fundamentals
R Tutorial : Matrix-Matrix Calculations
DataCamp Beginner 6y ago
R Tutorial : Linear Algebra for Data Science in R
ML Fundamentals
R Tutorial : Linear Algebra for Data Science in R
DataCamp Beginner 6y ago
XState: Let's pair program state machines and state charts with David Khourshid
ML Fundamentals
XState: Let's pair program state machines and state charts with David Khourshid
Fun Fun Function Beginner 6y ago
Web Scraping Reviews And Product Information From Flipkart- Showcasing Subscriber's Work
ML Fundamentals
Web Scraping Reviews And Product Information From Flipkart- Showcasing Subscriber's Work
Krish Naik Beginner 6y ago
Biological versus Artificial Neural Networks (John Hopfield) | AI Podcast Clips
ML Fundamentals
Biological versus Artificial Neural Networks (John Hopfield) | AI Podcast Clips
Lex Fridman Beginner 6y ago
Webinar - Private Equity’s Roaring 20s - A Peek Around the Corner
ML Fundamentals
Webinar - Private Equity’s Roaring 20s - A Peek Around the Corner
Saïd Business School, University of Oxford Intermediate 6y ago
AutoML-Zero
ML Fundamentals ⚡ AI Lesson
AutoML-Zero
Connor Shorten Advanced 6y ago
Why Cloud Computing is Critical for a Data Scientist
ML Fundamentals
Why Cloud Computing is Critical for a Data Scientist
365 Data Science Beginner 6y ago
Replicating Airbnb's Machine Learning Powered Amenity Detection Project | Code Walkthrough (live)
ML Fundamentals
Replicating Airbnb's Machine Learning Powered Amenity Detection Project | Code Walkthrough (live)
Daniel Bourke Beginner 6y ago
Brandon Rohrer — Machine Learning in Production for Robots
ML Fundamentals
Brandon Rohrer — Machine Learning in Production for Robots
Weights & Biases Beginner 6y ago
Organizing ML projects — W&B walkthrough (2020)
ML Fundamentals ⚡ AI Lesson
Organizing ML projects — W&B walkthrough (2020)
Weights & Biases Intermediate 6y ago
Every model I build has to answer 1 simple question | Airbnb Machine Learning Project Part 5
ML Fundamentals
Every model I build has to answer 1 simple question | Airbnb Machine Learning Project Part 5
Daniel Bourke Beginner 6y ago
Deep Learning for Coders Study Group - Session #10
ML Fundamentals ⚡ AI Lesson
Deep Learning for Coders Study Group - Session #10
The TWIML AI Podcast with Sam Charrington Beginner 6y ago
Python Tutorial : Applying logistic regression and SVM
ML Fundamentals
Python Tutorial : Applying logistic regression and SVM
DataCamp Beginner 6y ago
Python Tutorial : Linear Classifiers in Python
ML Fundamentals
Python Tutorial : Linear Classifiers in Python
DataCamp Beginner 6y ago
120GB of VRAM - Boxx Workstation review
ML Fundamentals ⚡ AI Lesson
120GB of VRAM - Boxx Workstation review
sentdex Advanced 6y ago
Amazon Data Science Interview- Part 1 & Internship Opportunities
ML Fundamentals
Amazon Data Science Interview- Part 1 & Internship Opportunities
Krish Naik Beginner 6y ago
Python Tutorial : Risk with missing data in loan data
ML Fundamentals
Python Tutorial : Risk with missing data in loan data
DataCamp Beginner 6y ago
Python Tutorial : Outliers in Credit Data
ML Fundamentals
Python Tutorial : Outliers in Credit Data
DataCamp Advanced 6y ago
TensorFlow Quantum: A software platform for hybrid quantum-classical ML (TF Dev Summit '20)
ML Fundamentals ⚡ AI Lesson
TensorFlow Quantum: A software platform for hybrid quantum-classical ML (TF Dev Summit '20)
TensorFlow Beginner 6y ago
Getting involved in the TF community (TF Dev Summit '20)
ML Fundamentals ⚡ AI Lesson
Getting involved in the TF community (TF Dev Summit '20)
TensorFlow Beginner 6y ago
TensorFlow and ML from the trenches: The Innovation Experience Center at JPL (TF Dev Summit '20)
ML Fundamentals ⚡ AI Lesson
TensorFlow and ML from the trenches: The Innovation Experience Center at JPL (TF Dev Summit '20)
TensorFlow Beginner 6y ago
Lecture 4- Bubble Sort -Competitive Programming Problem 2
ML Fundamentals
Lecture 4- Bubble Sort -Competitive Programming Problem 2
Krish Naik Intermediate 6y ago
Visibility Climate Prediction- You Can Add This In Your Resume
ML Fundamentals
Visibility Climate Prediction- You Can Add This In Your Resume
Krish Naik Intermediate 6y ago
Python Tutorial: Dealing with categorical features
ML Fundamentals
Python Tutorial: Dealing with categorical features
DataCamp Beginner 6y ago
Python Tutorial: Numeric variables
ML Fundamentals ⚡ AI Lesson
Python Tutorial: Numeric variables
DataCamp Beginner 6y ago
Python Tutorial: Understand the data
ML Fundamentals
Python Tutorial: Understand the data
DataCamp Beginner 6y ago
Python Tutorial: Introduction to IoT data
ML Fundamentals
Python Tutorial: Introduction to IoT data
DataCamp Beginner 6y ago
Python Tutorial: Making time series stationary
ML Fundamentals ⚡ AI Lesson
Python Tutorial: Making time series stationary
DataCamp Beginner 6y ago
Python Tutorial: Introduction to time series and stationarity
ML Fundamentals
Python Tutorial: Introduction to time series and stationarity
DataCamp Beginner 6y ago
R Tutorial: Wrapping up linear regression
ML Fundamentals
R Tutorial: Wrapping up linear regression
DataCamp Beginner 6y ago
Lecture 3-  Competitive Programming Problem 1 Solution- Happy Holi!!
ML Fundamentals
Lecture 3- Competitive Programming Problem 1 Solution- Happy Holi!!
Krish Naik Intermediate 6y ago
PySpark Tutorial: Where to Begin
ML Fundamentals ⚡ AI Lesson
PySpark Tutorial: Where to Begin
DataCamp Beginner 6y ago
My Laptop Lenovo Legion Y 540 Unboxing For Deep Learning! Important Message At The Last
ML Fundamentals
My Laptop Lenovo Legion Y 540 Unboxing For Deep Learning! Important Message At The Last
Krish Naik Beginner 6y ago
Lecture 2- Competitive Programming- Problem Statement 1
ML Fundamentals
Lecture 2- Competitive Programming- Problem Statement 1
Krish Naik Intermediate 6y ago
📚 Coursera Courses Opens on Coursera · Free to audit
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Master Decision Trees in R: Build, Predict & Evaluate
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Self-paced
Master Decision Trees in R: Build, Predict & Evaluate
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Advanced Algorithms, Dynamic Programming & Graph Algorithms
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Self-paced
Advanced Algorithms, Dynamic Programming & Graph Algorithms
Opens on Coursera ↗
Mathematics for Machine Learning: Linear Algebra
📚 Coursera Course ↗
Self-paced
Mathematics for Machine Learning: Linear Algebra
Opens on Coursera ↗
Deep Learning with R: Build & Predict Neural Networks
📚 Coursera Course ↗
Self-paced
Deep Learning with R: Build & Predict Neural Networks
Opens on Coursera ↗
Introduction to Portfolio Construction and Analysis with Python
📚 Coursera Course ↗
Self-paced
Introduction to Portfolio Construction and Analysis with Python
Opens on Coursera ↗
Basic Math: Integrals
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Self-paced
Basic Math: Integrals
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