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Model Performance

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May 1, 2024 3 minute read
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Model performance is a critical aspect of machine learning that assesses how well a model performs on unseen data. It involves evaluating the accuracy, efficiency, and reliability of the model. Model performance is crucial for ensuring that the model meets the intended purpose and delivers valuable insights.

Model Evaluation Metrics

Model evaluation metrics are used to quantify the performance of a model. Common metrics include:

Path to Model Performance

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We've curated four courses to help you on your path to Model Performance. Use these to develop your skills, build background knowledge, and put what you learn to practice.
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Reading list

We've selected six 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 Model Performance.
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Python Machine Learning
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Provides a broad overview of machine learning, including model performance evaluation. It is written by Andrew Ng, a leading researcher in the field.
Python Machine Learning: The Ultimate Guide for...
Paperback
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Machine Learning: The Most Complete Guide for...
Paperback
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Data Science and Big Data Analytics: A Step by Step...
Paperback
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Python Programming: Learn Python with the Most...
Paperback
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Machine Learning: The Ultimate Guide for Beginners...
Hardcover
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Python Data Science: An Essential Guide for...
Hardcover
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Hands-On Machine Learning with Scikit-Learn, Keras,...
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Provides a hands-on introduction to machine learning, including model performance evaluation. It uses popular Python libraries like Scikit-Learn, Keras, and TensorFlow.
Hands-On Machine Learning with Scikit-Learn, Keras,...
Paperback
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Hands-On Machine Learning with Scikit-Learn, Keras,...
Paperback
$$$
Hands-On Machine Learning with Scikit-Learn, Keras,...
Kindle Edition
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Hands-on Scikit-Learn for Machine Learning...
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Provides a comprehensive overview of cross-validation, a key technique for evaluating model performance. It covers different types of cross-validation and their applications.
Hands-on Scikit-Learn for Machine Learning...
Paperback
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Hands-on Scikit-Learn for Machine Learning...
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Deep Learning
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Provides a comprehensive overview of deep learning, including model performance evaluation. It is written by leading researchers in the field.
Deep Learning (Adaptive Computation and Machine...
Hardcover
$$$
Deep Learning (Adaptive Computation and Machine...
Kindle Edition
$$$
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Data Science Using Python and R
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Focuses on the use of machine learning for business applications. It covers model performance evaluation in the context of business.
Data Science Using Python and R (Wiley Series on...
Hardcover
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Data Science Using Python and R (Wiley Series on...
Kindle Edition
$$$
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Advances in Financial Machine Learning
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Covers the use of machine learning for finance applications. It discusses different model performance evaluation techniques in the context of finance.
Advances in Financial Machine Learning
Hardcover
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Advances in Financial Machine Learning
Kindle Edition
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Relevant careers
Data Science
Software Engineering
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