This video explains a new function called Promise.allSettled().
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This clip is from the chapter "Async Patterns and Promises" of the series "Quick JavaScript Crash Course - Modern and Advanced JavaScript".This section explains...

In this video, we will understand MSE (Mean Squared Error) from a probabilistic perspective.
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This clip is from the chapter "In-Depth: Loss Functions" of the series "Deep Learning - Artificial Neural Networks with...

In this video, we will understand how a model "learns".
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This clip is from the chapter "Machine Learning and Neurons" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this section, we will cover a...

The Mathematics of Machine Learning

This video explains linear regression – a real model.
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This clip is from the chapter "Linear Regression - a Real Model" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This...

In this video tutorial, the teacher explains the use of the "if error" function and dynamic amortization tables in Microsoft Excel. The "if error" function is used to handle errors in Excel functions, while the dynamic amortization table...

The Err object collects information about errors encountered during macro execution. In this lesson, we explore its helpful Number property and take a look at over 100 different VBA error messages.
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This clip is from the...

In this video you'll be adding a new feature onto Indecision.
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This clip is from the chapter "Stateless Functional Components" of the series "The Complete React Developer Course (with Hooks and Redux)".This section is about...

In this video you'll refactor Redux by moving each part into its own file.<br/<br/>>

This clip is from the chapter "Redux" of the series "The Complete React Developer Course (with Hooks and Redux)".This section is about Redux in detail.

In this video, you will learn how to update weights.
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This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper into deep...

In this video, we will break down the gradient step and learn how to update weight and biases.
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This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In...

In this video, you will learn about error functions.
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This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will cover the...

The aim of this video is to explore lookup functions.
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This clip is from the chapter "Excel 2019 Advanced: Lookup Functions" of the series "The Complete Excel Guide: Beginners to Advanced".In this section, we'll explore...

This video explains going beyond linearity; specifically, we will look at a couple of interesting examples to improve the linear regression model to see if we can create models that are non-linear.
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This clip is from the...

In this video, we will talk about the local minima problem.
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This clip is from the chapter "Optimizations" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will cover...

In this video, we will discuss about two different natures of error functions, which are discrete and continuous error functions.
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This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep...

In this video, we will talk about the vanishing gradient problem.
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This clip is from the chapter "Optimizations" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will cover...

In this video, we will get introduced to gradient descent.
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This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper into...

This video explains model selection and regularization.
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This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical learning, sampling, and...

In this video, we will cover logistic regression derivation.