In this video, you will learn how to solve a regression problem using the Boston housing dataset.
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This clip is from the chapter "Applying Deep Learning" of the series "Deep Learning - Crash Course 2023".In this section, you...

In this video, we will introduce the concept of Universal Approximation Theorem in deep learning. We will discuss what this theorem means, how it works, and its importance in the field of neural networks.
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This clip is from...

In this video, you will learn how to build a mathematical intuition on MP Neuron.
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This clip is from the chapter "MP Neuron Model" of the series "Deep Learning - Crash Course 2023".In this section, you will learn how to build...

In this video, we will look at the important parameters defined in a recommender system.

In this video, we will talk about Adam optimization, get introduced to Adam, and understand its basics.
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This clip is from the chapter "In-Depth: Gradient Descent" 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...

In this video, we will understand what machine learning is and get a clear idea about ML (machine learning).
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This clip is from the chapter "Machine Learning and Neurons" of the series "Deep Learning - Artificial Neural...

This video talks about the important parameters of recommender systems.
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This clip is from the chapter "Basic of Recommender Systems" of the series "Recommender Systems with Machine Learning".This section focuses on the basics...

In this video, we will understand from where we can learn more about Matplotlib.
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This clip is from the chapter "Matplotlib" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section,...

In this video, you will learn about a scatterplot.<br<br/>/>

This clip is from the chapter "Matplotlib" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this section, we will talk about Matplotlib.

This video covers technical tasks, including documentation, Excel formulas, and basic coding, skills essential for anyone working in a technical field or working with data in their jobs.
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This clip is from the chapter "Work...

Get ready to dive into the world of statistics with our "Creating and Interpreting a Dot Plot" student worksheet! This engaging and interactive worksheet is designed to help students understand and master the concept of dot plots in a...

This video explains about CloudWatch alarms.
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This clip is from the chapter "CloudWatch Basics - Monitor AWS Resources and Applications Performance" of the series "AWS Tutorial: AWS Solutions Architect and SysOps...

Bias versus variance trade-off, under fitting vs over fitting trade-off. Showing why there is balance between being underfit when using a machine learning model to perform better on a test set, instead only performing good on the...

Getting back into the AI 101 videos this month, with quantum machine learning! We’ll be talking about what exactly quantum machine learning is, and walking through a TensorFlow tutorial together in Colab.

This is my second advanced ggplot video that explores using R programming to create facets. Data visualisation is an important part of data analysis and communicating your findings. Ggplot2 is an incredibly powerful tool for data...

Over the past 30 years China has experienced perhaps the most impressive economic growth of any country in history. But these impressive growth numbers all come from official government statistics bureaus. How much can we trust the...

My critique of the APPR's SLO or "Student Learning Objectives" as an effective evaluations of teachers.

In this video, the teacher explains how to compare data using line plots and means. The viewer is guided through finding the mean of each team's data, marking the averages on the line plots, and identifying the number of players who...

In this short math video we will find & compare median and range of two line plots to answer a standardized math test question. We will define median and range. We will understand that the median of a data set is found by putting the...

Experimental Design Questions for AP Physics exams are described and many examples of how to approach and answer these difficult questions are discussed.

This video explains how to scale the Amazon Kinesis data streams.
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This clip is from the chapter "Domain 1: Collection" of the series "AWS Certified Data Analytics Specialty (2022) Hands-on".In this section, you will learn to...

This video explains geometrical representation.<br<br/>/>

This clip is from the chapter "Linear Regression Analysis" of the series "R Programming for Statistics and Data Science".This section explains linear regression analysis.

This video explains building a scatterplot with ggplot2.<br<br/>/>

This clip is from the chapter "Visualizing Data" of the series "R Programming for Statistics and Data Science".This section explains visualizing data.