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170 lessons

📐 ML Fundamentals

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

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R Tutorial: Introduction to classification trees
ML Fundamentals
R Tutorial: Introduction to classification trees
DataCamp Beginner 5y ago
Theory: Applications of Data Science
ML Fundamentals
Theory: Applications of Data Science
DataCamp Intermediate 6y ago
R Tutorial: Nonlinear Modeling in R with GAMs | Intro
ML Fundamentals
R Tutorial: Nonlinear Modeling in R with GAMs | Intro
DataCamp Beginner 6y ago
Python Tutorial: Introducing convolutional neural networks
ML Fundamentals
Python Tutorial: Introducing convolutional neural networks
DataCamp Beginner 6y ago
Python Tutorial: Image classification with Keras
ML Fundamentals
Python Tutorial: Image classification with Keras
DataCamp Beginner 6y ago
Python Tutorial: Classifying images
ML Fundamentals
Python Tutorial: Classifying images
DataCamp Beginner 6y ago
Python Tutorial : Data transforms, features, and targets
ML Fundamentals
Python Tutorial : Data transforms, features, and targets
DataCamp Beginner 6y ago
Python Tutorial : Linear modeling with financial data
ML Fundamentals
Python Tutorial : Linear modeling with financial data
DataCamp Beginner 6y ago
Python Tutorial : Machine Learning for Finance in Python
ML Fundamentals
Python Tutorial : Machine Learning for Finance in Python
DataCamp Beginner 6y ago
R Tutorial : Network analysis in R: A tidy approach
ML Fundamentals
R Tutorial : Network analysis in R: A tidy approach
DataCamp Beginner 6y ago
PyTorch Tutorial : Backpropagation by auto-differentiation
ML Fundamentals
PyTorch Tutorial : Backpropagation by auto-differentiation
DataCamp Beginner 6y ago
PyTorch Tutorial : Introduction to PyTorch
ML Fundamentals
PyTorch Tutorial : Introduction to PyTorch
DataCamp Beginner 6y ago
PyTorch Tutorial : Introduction to Neural Networks
ML Fundamentals
PyTorch Tutorial : Introduction to Neural Networks
DataCamp Beginner 6y ago
PyTorch Tutorial : Forward propagation
ML Fundamentals
PyTorch Tutorial : Forward propagation
DataCamp Beginner 6y ago
Python Tutorial : Writing Efficient Python Code
ML Fundamentals
Python Tutorial : Writing Efficient Python Code
DataCamp Beginner 6y ago
Python Tutorial : Introducing XGBoost
ML Fundamentals
Python Tutorial : Introducing XGBoost
DataCamp Beginner 6y ago
Python Tutorial: Class distribution
ML Fundamentals
Python Tutorial: Class distribution
DataCamp Beginner 6y ago
Python Tutorial : When should I use XGBoost?
ML Fundamentals
Python Tutorial : When should I use XGBoost?
DataCamp Beginner 6y ago
Python Tutorial: Dive into Python
ML Fundamentals
Python Tutorial: Dive into Python
DataCamp Beginner 6y ago
Python Tutorial: Data distributions and transformations
ML Fundamentals
Python Tutorial: Data distributions and transformations
DataCamp Beginner 6y ago
Python Tutorial: Handling missing data
ML Fundamentals
Python Tutorial: Handling missing data
DataCamp Beginner 6y ago
R Tutorial: Parameters vs hyperparameters
ML Fundamentals
R Tutorial: Parameters vs hyperparameters
DataCamp Beginner 6y ago
R Tutorial: Distance metrics
ML Fundamentals
R Tutorial: Distance metrics
DataCamp Beginner 6y ago
R Tutorial: Out-of-sample error measures
ML Fundamentals
R Tutorial: Out-of-sample error measures
DataCamp Beginner 6y ago
R Tutorial: Welcome to the Toolbox
ML Fundamentals
R Tutorial: Welcome to the Toolbox
DataCamp Beginner 6y ago
R Tutorial: Introduction to k-means clustering
ML Fundamentals
R Tutorial: Introduction to k-means clustering
DataCamp Beginner 6y ago
Python Tutorial: Introduction to Conversational Software
ML Fundamentals
Python Tutorial: Introduction to Conversational Software
DataCamp Beginner 6y ago
Python Tutorial: Python for MATLAB Users | Intro
ML Fundamentals
Python Tutorial: Python for MATLAB Users | Intro
DataCamp Beginner 6y ago
Python Tutorial: Timeseries kinds and applications
ML Fundamentals
Python Tutorial: Timeseries kinds and applications
DataCamp Beginner 6y ago
Python Tutorial: Machine learning basics
ML Fundamentals
Python Tutorial: Machine learning basics
DataCamp Beginner 6y ago
Python Tutorial: Machine learning and time series data
ML Fundamentals
Python Tutorial: Machine learning and time series data
DataCamp Beginner 6y ago
R Tutorial: Getting started with caret
ML Fundamentals
R Tutorial: Getting started with caret
DataCamp Beginner 6y ago
R Tutorial : Overview of the Measure Development Process
ML Fundamentals
R Tutorial : Overview of the Measure Development Process
DataCamp Beginner 6y ago
R Tutorial : Pitfalls of Trading System Development
ML Fundamentals
R Tutorial : Pitfalls of Trading System Development
DataCamp Beginner 6y ago
PySpark Tutorial : Why learn how to build recommendation engines?
ML Fundamentals
PySpark Tutorial : Why learn how to build recommendation engines?
DataCamp Beginner 6y ago
Python Tutorial : Deeper networks
ML Fundamentals
Python Tutorial : Deeper networks
DataCamp Beginner 6y ago
Python Tutorial : Activation functions
ML Fundamentals
Python Tutorial : Activation functions
DataCamp Beginner 6y ago
Python Tutorial : Forward propagation
ML Fundamentals
Python Tutorial : Forward propagation
DataCamp Beginner 6y ago
Python Tutorial : Introduction to Deep Learning in Python
ML Fundamentals
Python Tutorial : Introduction to Deep Learning in Python
DataCamp Beginner 6y ago
Python Tutorial : How do we measure success?
ML Fundamentals
Python Tutorial : How do we measure success?
DataCamp Beginner 6y ago
Python Tutorial : Looking at the datatypes
ML Fundamentals
Python Tutorial : Looking at the datatypes
DataCamp Beginner 6y ago
Python Tutorial: What is Keras?
ML Fundamentals
Python Tutorial: What is Keras?
DataCamp Beginner 6y ago
Python Tutorial: Your first neural network
ML Fundamentals
Python Tutorial: Your first neural network
DataCamp Beginner 6y ago
Python Tutorial: Surviving a meteor strike
ML Fundamentals
Python Tutorial: Surviving a meteor strike
DataCamp Beginner 6y ago
Python Tutorial: Introducing Hyperparameters
ML Fundamentals
Python Tutorial: Introducing Hyperparameters
DataCamp Beginner 6y ago
Python Tutorial: Keras input and dense layers
ML Fundamentals
Python Tutorial: Keras input and dense layers
DataCamp Beginner 6y ago
Python Tutorial: Keras models
ML Fundamentals
Python Tutorial: Keras models
DataCamp Beginner 6y ago
Python Tutorial: Fit and evaluate a model
ML Fundamentals
Python Tutorial: Fit and evaluate a model
DataCamp Beginner 6y ago
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Attention Mechanism
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Data Science Coding Challenge: Loan Default Prediction
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Calculus through Data & Modelling: Vector Calculus
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Calculus through Data & Modelling: Vector Calculus
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Java Programming Essentials
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Probability & Statistics for Machine Learning & Data Science
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