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📐 ML Fundamentals

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

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Kaggle's 30 Days Of ML (Day-13 Part-2): Cross-validation
📐 ML Fundamentals
Kaggle's 30 Days Of ML (Day-13 Part-2): Cross-validation
Abhishek Thakur Beginner 4y ago
Kaggle's 30 Days Of ML (Day-13 Part-1): Scikit-Learn Pipelines
📐 ML Fundamentals
Kaggle's 30 Days Of ML (Day-13 Part-1): Scikit-Learn Pipelines
Abhishek Thakur Beginner 4y ago
Is age a barrier to learn data science?
📐 ML Fundamentals
Is age a barrier to learn data science?
codebasics Beginner 4y ago
Quantization in deep learning | Deep Learning Tutorial 49 (Tensorflow, Keras & Python)
📐 ML Fundamentals
Quantization in deep learning | Deep Learning Tutorial 49 (Tensorflow, Keras & Python)
codebasics Beginner 4y ago
Python for Data Science | Beginner Friendly Full Course in 5 Hours
📐 ML Fundamentals
Python for Data Science | Beginner Friendly Full Course in 5 Hours
Nicholas Renotte Beginner 4y ago
Kaggle 30 Days of ML - Day 11 - Kaggle Competition Submission - Learn Python ML in 30 Days
📐 ML Fundamentals
Kaggle 30 Days of ML - Day 11 - Kaggle Competition Submission - Learn Python ML in 30 Days
1littlecoder Beginner 4y ago
W&B Fastbook Reading Group — 10. Movie recommendation using fastai
📐 ML Fundamentals
W&B Fastbook Reading Group — 10. Movie recommendation using fastai
Weights & Biases Beginner 4y ago
Run VSCode In Web-Github Codespaces Introduction
📐 ML Fundamentals
Run VSCode In Web-Github Codespaces Introduction
Krish Naik Beginner 4y ago
Kaggle 30 Days of ML - Day 10 - Overfitting, Random Forest - Learn Python ML in 30 Days
📐 ML Fundamentals
Kaggle 30 Days of ML - Day 10 - Overfitting, Random Forest - Learn Python ML in 30 Days
1littlecoder Beginner 4y ago
Save a model or Pipeline using joblib
📐 ML Fundamentals
Save a model or Pipeline using joblib
Data School Beginner 4y ago
Creating MLOps Standards // Alex Chung and Srivathsan Canchi // MLOps Coffee Sessions #50
📐 ML Fundamentals
Creating MLOps Standards // Alex Chung and Srivathsan Canchi // MLOps Coffee Sessions #50
MLOps.community Beginner 4y ago
SRGAN implementation from scratch
📐 ML Fundamentals
SRGAN implementation from scratch
Aladdin Persson Beginner 4y ago
Two ways to impute missing values for a categorical feature
📐 ML Fundamentals
Two ways to impute missing values for a categorical feature
Data School Beginner 4y ago
Aggressively Helpful Platform Teams // Stefan Krawczyk // MLOps Coffee Sessions #49
📐 ML Fundamentals
Aggressively Helpful Platform Teams // Stefan Krawczyk // MLOps Coffee Sessions #49
MLOps.community Beginner 4y ago
Podcast with Minhaaj Rehman on Data Science and Psychology
📐 ML Fundamentals
Podcast with Minhaaj Rehman on Data Science and Psychology
Data Professor Beginner 4y ago
My Salary As A Data Scientist From Starting Of My Career
📐 ML Fundamentals
My Salary As A Data Scientist From Starting Of My Career
Krish Naik Beginner 4y ago
W&B Fastbook Reading Group — 9. Training SOTA on ImageNet
📐 ML Fundamentals
W&B Fastbook Reading Group — 9. Training SOTA on ImageNet
Weights & Biases Beginner 4y ago
What is the model identifiability problem? | Explained in 60 seconds! | ❓ #AICoffeeBreakQuiz #Shorts
📐 ML Fundamentals
What is the model identifiability problem? | Explained in 60 seconds! | ❓ #AICoffeeBreakQuiz #Shorts
AI Coffee Break with Letitia Beginner 4y ago
Best practices for ML product decisions (ML Tech Talks)
📐 ML Fundamentals
Best practices for ML product decisions (ML Tech Talks)
TensorFlow Beginner 4y ago
Demo your ML models + learn NLP from the best (Hugging Face 🤗) | Machine Learning Monthly July 2021
📐 ML Fundamentals
Demo your ML models + learn NLP from the best (Hugging Face 🤗) | Machine Learning Monthly July 2021
Daniel Bourke Beginner 4y ago
Saddle points vs. local minima in high dimensional spaces | ❓ #AICoffeeBreakQuiz #Shorts
📐 ML Fundamentals
Saddle points vs. local minima in high dimensional spaces | ❓ #AICoffeeBreakQuiz #Shorts
AI Coffee Break with Letitia Beginner 4y ago
Kaggle's 30 Days Of ML (Day-12 Part-1): Handling Missing Values in Datasets (imputing missing value)
📐 ML Fundamentals
Kaggle's 30 Days Of ML (Day-12 Part-1): Handling Missing Values in Datasets (imputing missing value)
Abhishek Thakur Beginner 4y ago
Kaggle's 30 Days Of ML (Day-11): Machine Learning Model to Predict House Prices (Intro to ML Ends)
📐 ML Fundamentals
Kaggle's 30 Days Of ML (Day-11): Machine Learning Model to Predict House Prices (Intro to ML Ends)
Abhishek Thakur Beginner 4y ago
Kaggle's 30 Days Of ML (Day-10): Underfitting, Overfitting & Random Forests
📐 ML Fundamentals
Kaggle's 30 Days Of ML (Day-10): Underfitting, Overfitting & Random Forests
Abhishek Thakur Beginner 4y ago
How do random forests work?
📐 ML Fundamentals
How do random forests work?
Abhishek Thakur Beginner 4y ago
Kaggle's 30 Days Of ML (Day-9): First Machine Learning Model and Validation
📐 ML Fundamentals
Kaggle's 30 Days Of ML (Day-9): First Machine Learning Model and Validation
Abhishek Thakur Beginner 4y ago
What Are Decision Trees And How Do They Work? (From Scratch)
📐 ML Fundamentals
What Are Decision Trees And How Do They Work? (From Scratch)
Abhishek Thakur Beginner 4y ago
Kaggle's 30 Days Of ML (Day-8): What is a machine learning model and what is pandas all about?
📐 ML Fundamentals
Kaggle's 30 Days Of ML (Day-8): What is a machine learning model and what is pandas all about?
Abhishek Thakur Beginner 4y ago
Building an ML Platform from Scratch: Live Coding Session - Part 2 //Alon Gubkin // MLOps Meetup #74
📐 ML Fundamentals
Building an ML Platform from Scratch: Live Coding Session - Part 2 //Alon Gubkin // MLOps Meetup #74
MLOps.community Beginner 4y ago
Kaggle 30 Days of ML - Day 7 - Python Libraries & Operator Overloading - Learn Python ML in 30 Days
📐 ML Fundamentals
Kaggle 30 Days of ML - Day 7 - Python Libraries & Operator Overloading - Learn Python ML in 30 Days
1littlecoder Beginner 4y ago
Kaggle's 30 Days Of ML (Day-7): Working with external libraries in Python (final python day)
📐 ML Fundamentals
Kaggle's 30 Days Of ML (Day-7): Working with external libraries in Python (final python day)
Abhishek Thakur Beginner 4y ago
Kaggle 30 Days of ML - Day 6 - Python String, Dictionary - Learn Python ML in 30 Days
📐 ML Fundamentals
Kaggle 30 Days of ML - Day 6 - Python String, Dictionary - Learn Python ML in 30 Days
1littlecoder Beginner 4y ago
Kaggle 30 Days of ML - Day 5 - Python Loops, List Comprehension - Learn Python ML in 30 Days
📐 ML Fundamentals
Kaggle 30 Days of ML - Day 5 - Python Loops, List Comprehension - Learn Python ML in 30 Days
1littlecoder Beginner 4y ago
Kaggle 30 Days of ML - Day 5 - Python List, Tuples - Learn Python ML in 30 Days
📐 ML Fundamentals
Kaggle 30 Days of ML - Day 5 - Python List, Tuples - Learn Python ML in 30 Days
1littlecoder Beginner 4y ago
Kaggle's 30 Days Of ML (Day-6): Python Strings and Dictionaries
📐 ML Fundamentals
Kaggle's 30 Days Of ML (Day-6): Python Strings and Dictionaries
Abhishek Thakur Beginner 4y ago
Kaggle's 30 Days Of ML (Day-5, Part-2): Python Loops and List Comprehension
📐 ML Fundamentals
Kaggle's 30 Days Of ML (Day-5, Part-2): Python Loops and List Comprehension
Abhishek Thakur Beginner 4y ago
Kaggle's 30 Days Of ML (Day-5, Part-1): Python Lists and Tuples
📐 ML Fundamentals
Kaggle's 30 Days Of ML (Day-5, Part-1): Python Lists and Tuples
Abhishek Thakur Beginner 4y ago
7 Days Plan To Learn Statistics For Data Analyst And Data Scientist
📐 ML Fundamentals
7 Days Plan To Learn Statistics For Data Analyst And Data Scientist
Krish Naik Beginner 4y ago
Kaggle 30 Days of ML - Day 4 - Python Boolean, Conditionals, IF-ELSE - Learn Python ML in 30 Days
📐 ML Fundamentals
Kaggle 30 Days of ML - Day 4 - Python Boolean, Conditionals, IF-ELSE - Learn Python ML in 30 Days
1littlecoder Beginner 4y ago
Kaggle's 30 Days Of ML (Day-4): Python Booleans and Conditionals
📐 ML Fundamentals
Kaggle's 30 Days Of ML (Day-4): Python Booleans and Conditionals
Abhishek Thakur Beginner 4y ago
tf serving tutorial | tensorflow serving tutorial | Deep Learning Tutorial 48 (Tensorflow, Python)
📐 ML Fundamentals
tf serving tutorial | tensorflow serving tutorial | Deep Learning Tutorial 48 (Tensorflow, Python)
codebasics Beginner 4y ago
Use stratified sampling with train_test_split
📐 ML Fundamentals
Use stratified sampling with train_test_split
Data School Beginner 4y ago
Kaggle's 30 Days Of ML (Day-3): Python Functions
📐 ML Fundamentals
Kaggle's 30 Days Of ML (Day-3): Python Functions
Abhishek Thakur Beginner 4y ago
Kaggle 30 Days of ML - Day 3 - Python Functions & Help - Learn Python ML in 30 Days
📐 ML Fundamentals
Kaggle 30 Days of ML - Day 3 - Python Functions & Help - Learn Python ML in 30 Days
1littlecoder Beginner 4y ago
Kaggle's 30 Days Of ML (Day-2): Say Hello to Python: variables, types and arithmetic operations
📐 ML Fundamentals
Kaggle's 30 Days Of ML (Day-2): Say Hello to Python: variables, types and arithmetic operations
Abhishek Thakur Beginner 4y ago
What is Self Supervised Learning?
📐 ML Fundamentals
What is Self Supervised Learning?
codebasics Beginner 4y ago
Kaggle 30 Days of ML - Day 2 - Python Basics - Learn Python ML in 30 Days
📐 ML Fundamentals
Kaggle 30 Days of ML - Day 2 - Python Basics - Learn Python ML in 30 Days
1littlecoder Beginner 4y ago
Kaggle 30 Days of ML - Day 1 - Becoming Kaggle Contributor - Learn Python ML in 30 Days
📐 ML Fundamentals
Kaggle 30 Days of ML - Day 1 - Becoming Kaggle Contributor - Learn Python ML in 30 Days
1littlecoder Beginner 4y ago
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An Introduction to Practical Deep Learning
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An Introduction to Practical Deep Learning
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Computer Vision with Embedded Machine Learning
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Computer Vision with Embedded Machine Learning
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Fundamentals of Machine Learning
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Fundamentals of Machine Learning
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Machine Learning with Databricks and MLflow
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Machine Learning with Databricks and MLflow
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Analytic Combinatorics
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Analytic Combinatorics
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Coding with Generative AI
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Coding with Generative AI
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