We've talked a lot about modeling data and making inferences about it, but today we're going to look towards the future at how machine learning is being used to build models to predict future outcomes. We'll discuss three popular types...

Today we're going to introduce one of the most flexible statistical tools - the General Linear Model (or GLM). GLMs allow us to create many different models to help describe the world - you see them a lot in science, economics, and...

This video will look at logistic regression in detail, mainly used for classification problems with one or multiple independent variables.

In this lesson, you will learn to use polynomial regression when linear regression is not working well to report accuracy, using the Bayes information criterion.

In this video, we will explore overfitting, which is very commonly used in machine learning.

After learning about linear regression and how to calculate the formula for our regression lines, we will now look at the correlation coefficient or Pearson's coefficient.

Learn 10 essential math concepts for software engineering and technical interviews. Understand how programmers use mathematics in fields like AI, game dev, crypto, machine learning, and more.

When doing linear regression, it is important to include right right variables in your model. Multiple regression differs from simple linear regression in that more than one explanatory variable is used in the model. Master variable...

When doing linear regression or multiple regression, your data may have outliers. Outliers are data points where the residual values are far from the model. In this video we explore how to identify outliers and discuss what to do when...

In this video, we will do the same forecasting exercise that we did with an autoregressive liner model, but with a simple RNN instead.
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This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence...

In this video, we will discuss about forecasting.
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This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of the series "Deep Learning - Recurrent Neural Networks with TensorFlow".In...

In this video, you will learn about sequence data.
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This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of the series "Deep Learning - Recurrent Neural Networks with TensorFlow".In...

In this continuation video, explore the recommended order of taking the lessons in this learning program and how they are designed to provide a cohesive learning experience. This video will help you plan your learning effectively and...

In this video, we will see the recommended order of taking the lessons offered in this learning program, the logical progression of the course, and the optimal order to take the courses to maximize our learning and understanding of the...

In this video, you will learn to write Python code from scratch for financial analysis with ChatGPT using pairs trading strategies. This video will cover fundamental coding concepts such as data types, variables, loops, conditional...

Continuing from the previous video, we will dive deeper into Python coding concepts. This video will cover more advanced topics such as error handling, data manipulation, data visualization, and using common Python libraries such as...

This video demonstrates sequence-to-sequence stock candlestick forecast.
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This clip is from the chapter "Recurrent Neural Networks" of the series "Fundamentals in Neural Networks".This section explains NLP, we will start with...

This video demonstrates how to design a recurrent neural network or RNN.
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This clip is from the chapter "Recurrent Neural Networks" of the series "Fundamentals in Neural Networks".This section explains NLP, we will start with...

This video demonstrates transfer learning.
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This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains convolutional neural networks where you will start...

This video demonstrates a deeper CNN, where you will build a much bigger number of trainable parameters.
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This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This...

This video demonstrates the architecture and how to carry out the code using TensorFlow in collab and building a convolutional neural network.
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This clip is from the chapter "Convolutional Neural Networks" of the series...

This video demonstrates functional API versus sequential API.
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This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains artificial neural networks where...

This video demonstrates how to use Keras TensorFlow as API to essentially design and craft the neural network architecture.
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This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural...

This video demonstrates some basic operations in TensorFlow such as objects and we will apply some mathematical operations to the Tensor objects.
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This clip is from the chapter "Artificial Neural Networks" of the series...