Instructional Video9:32
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Classical CNNs: AlexNet

Higher Ed
In this video, we will cover AlexNet.
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This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we...
Instructional Video11:16
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Project I_ Book Writer: Modelling RNN Model in TensorFlow

Higher Ed
In this video, we will cover modelling RNN model in TensorFlow.
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This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
Instructional Video16:17
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Pandas for Data Manipulation and Understanding: Pandas Pivot Table

Higher Ed
In this video, we will cover Pandas Pivot Table.
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This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization with Python" of the series "Data Science and Machine Learning (Theory and...
Instructional Video4:41
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - NumPy for Numerical Data Processing: NumPy Shape, Size, and Bytes

Higher Ed
In this video, we will cover NumPy shape, size, and bytes.
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This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" of the series "Data Science and Machine Learning (Theory and...
Instructional Video13:52
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - NumPy for Numerical Data Processing: NumPy Dimensions

Higher Ed
In this video, we will cover NumPy dimensions.
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This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" of the series "Data Science and Machine Learning (Theory and Projects) A to...
Instructional Video10:29
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Why Derivatives

Higher Ed
In this video, we will understand why derivatives.
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This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...
Instructional Video6:48
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Implementation in NumPy BackwardPass 1

Higher Ed
In this video, we will cover implementation in NumPy BackwardPass 1.
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This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and...
Instructional Video6:24
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Yolo: Yolo Algorithm

Higher Ed
In this video, we will cover Yolo algorithm.
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This clip is from the chapter "Deep learning: Convolutional Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
Instructional Video21:24
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Sentiment Classification using RNN: RNN Setup 2

Higher Ed
In this video, we will cover RNN setup 2.
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This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we...
Instructional Video12:18
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Vector Space

Higher Ed
In this video, we will cover vector space.
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects)...
Instructional Video7:21
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Eigen Space

Higher Ed
In this video, we will cover Eigen Space.
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects) A...
Instructional Video10:14
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: Basis and Dimensions

Higher Ed
In this video, we will cover basis and dimensions.
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and...
Instructional Video4:04
Curated Video

Why Is The Mona Lisa So Famous?

Pre-K - Higher Ed
One of the most popular reasons for the worldwide appeal of the Mona Lisa is her smile. Da Vinci used optical illusion to create a unique smile through perspective and shadow work. He painted the Mona Lisa in such a way that the eyes of...
Instructional Video4:22
Curated Video

Calculating the Force Exerted by an Object on a Table

9th - 12th
This video shows the process for solving the problem presented in IGCSE A June 2018 paper 2HR Q2, which involves force. By using the formula for pressure and the given dimensions of the rectangle, we will work through the steps to...
Instructional Video0:55
Next Animation Studio

Leonardo da Vinci may have had eye disorder

12th - Higher Ed
A new study suggests Leonardo da Vinci may have had an eye disorder that helped him paint.
Instructional Video10:03
msvgo

Linear Equations: Graphical Representation

K - 12th
It explains how to plot a graph representing a linear equation in two variables. It also includes solved problems.
Instructional Video5:55
Flipping Physics

AP Physics 1: Linear Momentum and Impulse Review

12th - Higher Ed
Review of the topics of Linear Momentum and Impulse covered in the AP Physics 1 curriculum.
Instructional Video5:16
Flipping Physics

Reviewing One Dimensional Motion with the Table of Friends

12th - Higher Ed
We get to start our Table of Friends today. Dimensions are your friends and there are so many dimensions to keep track of, so we create our Table of Friends to help us keep track of them. Today's friends have to do with One Dimensional...
Instructional Video4:58
Brainwaves Video Anthology

Cynthia Owyoung - How to Build a Real Workplace Culture of Inclusion that Delivers Results

Higher Ed
Cynthia Owyoung is vice president of inclusion, equity, and belonging at Robinhood, where she drives the company’s approach to enhancing its culture of diversity and inclusion. As the founder of Breaking Glass Forums, she develops...
Instructional Video5:06
Curated Video

Graphing Dilations Using Coordinates

K - 5th
In this video, the teacher explains how to dilate a triangle without using a graph. They review the concept of scale factor and show how it affects the dimensions of an image. By multiplying the coordinates of each point by the scale...
Instructional Video4:09
ATHS Engineering

Multiview Drawings: From Isometric Sketch to Complete Drawing

9th - Higher Ed
This video is a tutorial on how to create a multiview drawing from an isometric sketch using orthographic graph paper. The teacher explains the process step-by-step and provides helpful tips for creating accurate and detailed multiview...
Instructional Video13:56
Zach Star

If higher dimensions exist, they aren't what you think - Exploring Worlds Beyond Our Own

12th - Higher Ed
If higher dimensions exist, they aren't what you think - Exploring Worlds Beyond Our Own
Instructional Video9:30
Why U

Pre-Algebra 31 - Simplifying Radical Expressions

12th - Higher Ed
Radical expressions can often be simplified by moving factors which are perfect roots out from under the radical sign.
Instructional Video3:31
Curated Video

Computing Volume Using Dimensions and Formulas

K - 5th
In this video, the teacher explains how to compute the volume of a solid figure using different volume formulas. They demonstrate the traditional formula of multiplying length, width, and height, as well as a more efficient formula that...