📐 ML Fundamentals

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

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Kaggle 30 Days of ML (Day 15) - Interpretable Machine Learning Use-cases

ML Fundamentals

Kaggle 30 Days of ML (Day 15) - Interpretable Machine Learning Use-cases

1littlecoder Beginner 4y ago

Computer Scientist Explains Machine Learning in 5 Levels of Difficulty | WIRED

ML Fundamentals

Computer Scientist Explains Machine Learning in 5 Levels of Difficulty | WIRED

WIRED Beginner 4y ago

Dimensionality Reduction : Data Science Concepts

ML Fundamentals

Dimensionality Reduction : Data Science Concepts

ritvikmath Intermediate 4y ago

Mistakes To Avoid While Applying Data Science Jobs? Know How To Fine Tune Your Resume

ML Fundamentals

Mistakes To Avoid While Applying Data Science Jobs? Know How To Fine Tune Your Resume

Krish Naik Intermediate 4y ago

FastAPI Tutorial | FastAPI vs Flask

ML Fundamentals ⚡ AI Lesson

FastAPI Tutorial | FastAPI vs Flask

codebasics Beginner 4y ago

Amazon SageMaker for Healthcare and Life Sciences Use Cases - AWS Online Tech Talks

ML Fundamentals

Amazon SageMaker for Healthcare and Life Sciences Use Cases - AWS Online Tech Talks

AWS Developers Intermediate 4y ago

Invent New Experiences and Reimagine Old Processes with Machine Learning and Artificial Intelligence

ML Fundamentals ⚡ AI Lesson

Invent New Experiences and Reimagine Old Processes with Machine Learning and Artificial Intelligence

AWS Developers Intermediate 4y ago

How to avoid Google Colab Session Runtime from Closing with JavaScript?

ML Fundamentals

How to avoid Google Colab Session Runtime from Closing with JavaScript?

1littlecoder Beginner 4y ago

If You Are Losing Motivation While Learning Data Science- Hear This Story Out️‍🔥️‍🔥️‍🔥️‍🔥️‍🔥

ML Fundamentals

If You Are Losing Motivation While Learning Data Science- Hear This Story Out️‍🔥️‍🔥️‍🔥️‍🔥️‍🔥

Krish Naik Beginner 4y ago

Clickbait is Unreasonably Effective

ML Fundamentals ⚡ AI Lesson

Clickbait is Unreasonably Effective

Veritasium Intermediate 4y ago

Kaggle's 30 Days Of ML (Competition Part-1): Cross Validation & First Submission on Kaggle

ML Fundamentals

Kaggle's 30 Days Of ML (Competition Part-1): Cross Validation & First Submission on Kaggle

Abhishek Thakur Beginner 4y ago

Applications of Variational Autoencoders and Bayesian Optimization w/ J. M. Hernández Lobato - #510

ML Fundamentals ⚡ AI Lesson

Applications of Variational Autoencoders and Bayesian Optimization w/ J. M. Hernández Lobato - #510

The TWIML AI Podcast with Sam Charrington Advanced 4y ago

Kaggle's 30 Days Of ML (Day-14 Part-2): What is Data Leakage?

ML Fundamentals

Kaggle's 30 Days Of ML (Day-14 Part-2): What is Data Leakage?

Abhishek Thakur Beginner 4y ago

Maintainability in Diversity // Pablo Estevez // Coffee Session #46 short clip

ML Fundamentals

Maintainability in Diversity // Pablo Estevez // Coffee Session #46 short clip

MLOps.community Intermediate 4y ago

Is age a barrier to learn data science?

ML Fundamentals

Is age a barrier to learn data science?

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

W&B Fastbook Reading Group — 10. Movie recommendation using fastai

ML Fundamentals ⚡ AI Lesson

W&B Fastbook Reading Group — 10. Movie recommendation using fastai

Weights & Biases 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 ⚡ AI Lesson

SRGAN implementation from scratch

Aladdin Persson Beginner 4y ago

Data-centric AI: Real World Approaches

ML Fundamentals

Data-centric AI: Real World Approaches

DeepLearningAI Intermediate 4y ago

Difference in Difference : Data Science Concepts

ML Fundamentals ⚡ AI Lesson

Difference in Difference : Data Science Concepts

ritvikmath Intermediate 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

Podcast with Minhaaj Rehman on Data Science and Psychology

ML Fundamentals ⚡ AI Lesson

Podcast with Minhaaj Rehman on Data Science and Psychology

Data Professor Beginner 4y ago

Spatiotemporal Data Analysis with Rose Yu - #508

ML Fundamentals ⚡ AI Lesson

Spatiotemporal Data Analysis with Rose Yu - #508

The TWIML AI Podcast with Sam Charrington Advanced 4y ago

Beyond Overall Equipment Effectiveness (OEE) with Machine Vision and Virtual Andon

ML Fundamentals

Beyond Overall Equipment Effectiveness (OEE) with Machine Vision and Virtual Andon

AWS Developers Intermediate 4y ago

My CTC Is More But Salary IS Less? Why? CTC Vs Inhand Salary

ML Fundamentals

My CTC Is More But Salary IS Less? Why? CTC Vs Inhand Salary

Krish Naik Intermediate 4y ago

Kaggle 30 Days of ML (Day 14) - XGBoost, Data Leakage - Learn Python ML in 30 Days

ML Fundamentals

Kaggle 30 Days of ML (Day 14) - XGBoost, Data Leakage - Learn Python ML in 30 Days

1littlecoder Beginner 4y ago

Kaggle 30 Days of ML (Day 13) - Scikit-Learn Pipeline, CrossValidation - Learn Python ML in 30 Days

ML Fundamentals

Kaggle 30 Days of ML (Day 13) - Scikit-Learn Pipeline, CrossValidation - Learn Python ML in 30 Days

1littlecoder Beginner 4y ago

Kaggle's 30 Days Of ML (Day-14 Part-1): Intro to XGBoost

ML Fundamentals ⚡ AI Lesson

Kaggle's 30 Days Of ML (Day-14 Part-1): Intro to XGBoost

Abhishek Thakur Beginner 4y ago

Kaggle 30 Days of ML - Day 12 - Kaggle Missing Values, Encoding - Learn Python ML in 30 Days

ML Fundamentals

Kaggle 30 Days of ML - Day 12 - Kaggle Missing Values, Encoding - Learn Python ML in 30 Days

1littlecoder Beginner 4y ago

Kaggle's 30 Days Of ML (Day-13 Part-2): Cross-validation

ML Fundamentals ⚡ AI Lesson

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

Quantization in deep learning | Deep Learning Tutorial 49 (Tensorflow, Keras & Python)

ML Fundamentals ⚡ AI Lesson

Quantization in deep learning | Deep Learning Tutorial 49 (Tensorflow, Keras & Python)

codebasics Beginner 4y ago

Kaggle's 30 Days Of ML (Day-12 Part-2): Handling Categorical Variables

ML Fundamentals ⚡ AI Lesson

Kaggle's 30 Days Of ML (Day-12 Part-2): Handling Categorical Variables

Abhishek Thakur Intermediate 4y ago

Kaggle's 30 Days Of ML (Day-12 Part-1): Handling Missing Values in Datasets (imputing missing value)

ML Fundamentals ⚡ AI Lesson

Kaggle's 30 Days Of ML (Day-12 Part-1): Handling Missing Values in Datasets (imputing missing value)

Abhishek Thakur 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

Kaggle's 30 Days Of ML (Day-11): Machine Learning Model to Predict House Prices (Intro to ML Ends)

ML Fundamentals ⚡ AI Lesson

Kaggle's 30 Days Of ML (Day-11): Machine Learning Model to Predict House Prices (Intro to ML Ends)

Abhishek Thakur 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

5 Main Reasons Why Data Science Is Growing So Much?

ML Fundamentals

5 Main Reasons Why Data Science Is Growing So Much?

Krish Naik Intermediate 4y ago

Kaggle's 30 Days Of ML (Day-10): Underfitting, Overfitting & Random Forests

ML Fundamentals ⚡ AI Lesson

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

Based on WorkEX What Work You May Get As A Data Scientist?

ML Fundamentals

Based on WorkEX What Work You May Get As A Data Scientist?

Krish Naik Intermediate 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 ⚡ AI Lesson

What Are Decision Trees And How Do They Work? (From Scratch)

Abhishek Thakur 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

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