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twinLab Documentation - Home
  • Introduction
  • Python Interface
  • RESTful API
  • Release Notes
  • Introduction
  • Python Interface
  • RESTful API
  • Release Notes
  • Getting Started
  • Installation
  • API Key
  • Documentation
    • Dataset
      • twinlab.Dataset
      • twinlab.Dataset.upload
      • twinlab.Dataset.view
      • twinlab.Dataset.summarise
      • twinlab.Dataset.analyse_variance
      • twinlab.Dataset.analyse_input_variance
      • twinlab.Dataset.analyse_output_variance
      • twinlab.Dataset.delete
    • Emulator
      • twinlab.Emulator
      • twinlab.Emulator.design
      • twinlab.Emulator.train
      • twinlab.Emulator.status
      • twinlab.Emulator.view
      • twinlab.Emulator.view_train_data
      • twinlab.Emulator.view_test_data
      • twinlab.Emulator.summarise
      • twinlab.Emulator.score
      • twinlab.Emulator.benchmark
      • twinlab.Emulator.predict
      • twinlab.Emulator.sample
      • twinlab.Emulator.plot
      • twinlab.Emulator.heatmap
      • twinlab.Emulator.recommend
      • twinlab.Emulator.learn
      • twinlab.Emulator.calibrate
      • twinlab.Emulator.delete
    • Parameters
      • twinlab.EstimatorParams
      • twinlab.DesignParams
      • twinlab.ModelSelectionParams
      • twinlab.TrainParams
      • twinlab.ScoreParams
      • twinlab.BenchmarkParams
      • twinlab.PredictParams
      • twinlab.SampleParams
      • twinlab.RecommendParams
      • twinlab.AcqFuncParams
      • twinlab.OptimiserParams
      • twinlab.CalibrateParams
    • Distributions
      • twinlab.Prior
      • twinlab.distributions
      • twinlab.distributions.Uniform
      • twinlab.Sampling
      • twinlab.sampling.LatinHypercube
      • twinlab.sampling.UniformRandom
    • Utility Functions
      • twinlab.set_api_key
      • twinlab.get_api_key
      • twinlab.set_server_url
      • twinlab.get_server_url
      • twinlab.versions
      • twinlab.user_information
      • twinlab.list_emulators
      • twinlab.list_datasets
      • twinlab.list_example_datasets
      • twinlab.load_example_dataset
      • twinlab.get_sample
      • twinlab.join_samples
      • twinlab.load_dataset
      • twinlab.load_params
  • Examples
    • Quickstart Guide
    • Introduction
    • Gaussian Process Emulator
    • Gaussian Process Emulator with Functional Data
    • Gaussian Process with Observation Noise
    • Compositional Kernel Search for Gaussian Processes
  • Videos and Tutorials
  • Python Interface
  • Videos and Tutorials

Videos and Tutorials#

Tutorial Notebooks#

  • What are Gaussian Processes?

  • The Kernel Cookbook

  • autoML in twinLab

  • Predict in twinLab

  • Initial Design Space

  • Dimensionality Reduction for Functional Data

ML Short Courses#

  • Getting Started in Machine Learning

  • Using General Linear Models for Machine Learning

  • The Kernel Trick

  • Tree-based algorithms: Random Forests and Gradient Boosted Trees

  • An Introduction to Bayesian Uncertainty Quantification

  • AI Ethics

  • Production-Ready Neural Network-Powered Web App

  • Data Cleaning in Excel and Python

  • Deep Learning 101: Getting Started with Neural Networks

See also

Start evaluating your own problems with help from our python documentation.

Let us know if you get stuck - we’re always happy to help!

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Compositional Kernel Search for Gaussian Processes

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RESTful API

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  • Tutorial Notebooks
  • ML Short Courses
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