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Data Splitting

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May 1, 2024 3 minute read

Data splitting is a crucial step in machine learning projects that involves dividing the available data into subsets for training, validation, and testing purposes. This practice plays a vital role in ensuring that machine learning models are robust and generalize well to unseen data.

Why Learn Data Splitting?

There are several compelling reasons to learn about data splitting:

Path to Data Splitting

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We've curated one courses to help you on your path to Data Splitting. Use these to develop your skills, build background knowledge, and put what you learn to practice.

Sorted from most relevant to least relevant:

Structuring Machine Learning Projects

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Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data Splitting.

Deep Learning

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Comprehensive overview of deep learning, which powerful machine learning technique that has been used to achieve state-of-the-art results in a wide range of applications. It covers a wide range of topics, including convolutional neural networks, recurrent neural networks, and generative adversarial networks.

Deep Learning (Adaptive Computation and Machine...

Hardcover

$$$

Deep Learning (Adaptive Computation and Machine...

Kindle Edition

$$$

Reinforcement Learning, second edition

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Classic textbook on reinforcement learning, which type of machine learning that involves learning by trial and error. It covers a wide range of topics, including Markov decision processes, value functions, and policy gradients.

Reinforcement Learning, second edition: An...

Hardcover

$$$

Reinforcement Learning, second edition: An...

Kindle Edition

$$$

Data Visualisation

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Practical introduction to data visualization, which is essential for understanding and communicating the results of data analysis. It covers a wide range of topics, including different types of charts and graphs, how to choose the right visualization for your data, and how to design effective visualizations.

Data Visualisation: A Handbook for Data Driven...

Kindle Edition

$$$

Data Visualisation: A Handbook for Data Driven...

Paperback

$$$

Data Visualisation: A Handbook for Data Driven...

Paperback

$$$

Data Science for Business

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Is an introduction to data science, which field that combines data analysis, machine learning, and other techniques to solve business problems. It covers a wide range of topics, including data wrangling, data mining, and data visualization.

Data Science for Business: What You Need to Know...

Paperback

Data Science for Business: What You Need to Know...

Kindle Edition

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