📐 ML Fundamentals

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

ML Fundamentals

W&B Fastbook Reading Group — 12. What is a convolution, really?

Weights & Biases Beginner 4y ago

ML Fundamentals

Deep learning project end to end | Potato Disease Classification - 5 : Website (In React JS)

codebasics Beginner 4y ago

ML Fundamentals

Use AUC to evaluate multiclass problems

Data School Beginner 4y ago

ML Fundamentals

PyTorch Community Voices | PennyLane | Tom & Josh

PyTorch Beginner 4y ago

ML Fundamentals

Building a Simple Digits Image Classification Model

Data Professor Beginner 4y ago

ML Fundamentals

Deep learning project end to end | Potato Disease Classification - 4 : FastAPI/tf serving Backend

codebasics Beginner 4y ago

ML Fundamentals

SGT Working Group Aug 24, 2021 - mlctl and hydrosphere Open Source MLOps Libraries Demo

MLOps.community Beginner 4y ago

ML Fundamentals

Kaggle's 30 Days Of ML (Competition Part-5): Model Blending 101

Abhishek Thakur Beginner 4y ago

ML Fundamentals

Shuffle your dataset when using cross_val_score

Data School Beginner 4y ago

ML Fundamentals

Introduction to Statistics | 365 Data Science Courses

365 Data Science Beginner 4y ago

ML Fundamentals

Kaggle's 30 Days Of ML (Competition Part-4): Hyperparameter tuning using Optuna

Abhishek Thakur Beginner 4y ago

ML Fundamentals

What is Interpretable Machine Learning - ML Explainability - with Python LIME Shap Tutorial

1littlecoder Beginner 4y ago

ML Fundamentals

Affordable Machine Learning And Advance Deep Learning Course From iNeuron

Krish Naik Beginner 4y ago

ML Fundamentals

Robot Dogs: A Programmer's Best Friend

sentdex Beginner 4y ago

ML Fundamentals

Kaggle 30 Days of ML (Day 18) - SHAP - Shapley Values - Interpretable Machine Learning - XAI

1littlecoder Beginner 4y ago

ML Fundamentals

How to Monitor Machine Learning Models (Evidently AI)

Data Professor Beginner 4y ago

ML Fundamentals

Tesla AI Day Highlights | Lex Fridman

Lex Fridman Beginner 4y ago

ML Fundamentals

Coding Linear Trees! : Data Science Code

ritvikmath Beginner 4y ago

ML Fundamentals

Is Data Visualization Important for Data Science? (A Data Scientist's Perspective)

Ken Jee Beginner 4y ago

ML Fundamentals

Why do we care about cross-correlations vs convolutions | ❓ #AICoffeeBreakQuiz #Shorts

AI Coffee Break with Letitia Beginner 4y ago

ML Fundamentals

W&B Fastbook Reading Group — 11. Introduction to convolutions

Weights & Biases Beginner 4y ago

ML Fundamentals

Convolution vs Cross-Correlation. How most CNNs do not compute convolutions. | ❓ #Shorts

AI Coffee Break with Letitia Beginner 4y ago

ML Fundamentals

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

WIRED Beginner 4y ago

ML Fundamentals

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

Krish Naik Beginner 4y ago

ML Fundamentals

Python for Data Science | Beginner Friendly Full Course in 5 Hours

Nicholas Renotte Beginner 4y ago

ML Fundamentals

Deep learning project end to end | Potato Disease Classification - 3 : Model Building

codebasics Beginner 4y ago

ML Fundamentals

Deep learning project end to end | Potato Disease Classification Using CNN - 1 : Problem Statement

codebasics Beginner 4y ago

ML Fundamentals

Kaggle 30 Days of ML (Day 17) - Partial Dependence Plot - Interpretable Machine Learning - XAI

1littlecoder Beginner 4y ago

ML Fundamentals

Kaggle 30 Days of ML (Day 16) - Feature Importance of Machine Learning with ELI5

1littlecoder Beginner 4y ago

ML Fundamentals

Kaggle's 30 Days Of ML (Competition Part-3): What is Target Encoding and how does it work?

Abhishek Thakur Beginner 4y ago

ML Fundamentals

Josh Bloom — The Link Between Astronomy and ML

Weights & Biases Beginner 4y ago

ML Fundamentals

Four ways to examine the steps of a Pipeline

Data School Beginner 4y ago

ML Fundamentals

Kaggle's 30 Days Of ML (Competition Part-2): Feature Engineering (Categorical & Numerical Variables)

Abhishek Thakur Beginner 4y ago

ML Fundamentals

Object detection on an RC car with W&B and YOLOv5

Weights & Biases Beginner 4y ago

ML Fundamentals

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

1littlecoder Beginner 4y ago

ML Fundamentals

FastAPI Tutorial | FastAPI vs Flask

codebasics Beginner 4y ago

ML Fundamentals

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

1littlecoder Beginner 4y ago

ML Fundamentals

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

Abhishek Thakur Beginner 4y ago

ML Fundamentals

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

1littlecoder Beginner 4y ago

ML Fundamentals

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

1littlecoder Beginner 4y ago

ML Fundamentals

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

Abhishek Thakur Beginner 4y ago

ML Fundamentals

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

Abhishek Thakur Beginner 4y ago

ML Fundamentals

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

1littlecoder Beginner 4y ago

ML Fundamentals

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

Abhishek Thakur Beginner 4y ago

ML Fundamentals

Kaggle's 30 Days Of ML (Day-13 Part-1): Scikit-Learn Pipelines

Abhishek Thakur Beginner 4y ago

ML Fundamentals

Is age a barrier to learn data science?

codebasics Beginner 4y ago

ML Fundamentals

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

codebasics Beginner 4y ago

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

📚 Coursera Courses Opens on Coursera · Free to audit

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Calculus for Machine Learning and Data Science

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Machine Learning in the Enterprise - Français

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Advanced CNNs, Transfer Learning, and Recurrent Networks

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TensorFlow for Beginners: Basic Binary Image Classification

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Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Bahasa Indonesia

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Validate Multimodal Data: Ensure Quality

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Réseaux neuronaux et Deep Learning

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Memory Foundations in C++

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Introduction to Calculus

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Splunk Administration and Advanced Topics

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Solving ML Regression Problems with AWS AutoGluon

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Machine Learning: Concepts and Applications

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TradeStation EasyLanguage for Algorithmic Trading

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Deep Learning with PyTorch : Object Localization

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Applied Social Network Analysis in Python

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Implantação e escalonamento de modelos de IA com o Cloud Run

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Analysis of Algorithms

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Calculus: Single Variable Part 4 - Applications

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