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Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Layers and DEEP Networks
In this video, you will learn about layers and DEEP networks.
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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...
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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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Feature Extraction: Encoder Decoder Networks for Dimensionality Reduction Versus Kernel PCA
In this video, we will cover encoder decoder networks for dimensionality reduction versus Kernel PCA.
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the...
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Why Activation Function Is Required
In this video, we will understand why activation function is required.
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This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and...
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This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Machine Learning Model Hyperparameters Exercise Solution
In this video, we will cover machine learning model hyperparameters exercise solution.
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This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning...
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This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning...
Virtually Passed
Stability of Fixed Points PROOF | Nonlinear Dynamics (Part 1 extra)
This video deals with nonlinear differential equations in the form:
dx/dt =
f(x)
To find out whether a fixed point is stable or not, a linear stability analysis is done whereby the function is approximated as...
dx/dt =
f(x)
To find out whether a fixed point is stable or not, a linear stability analysis is done whereby the function is approximated as...
Curated Video
Statistics for Data Science and Business Analysis - A1. Linearity
In this video, the first assumption of OLS, linearity, is explained.
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This clip is from the chapter "Assumptions for Linear Regression Analysis" of the series "Statistics for Data Science and Business Analysis".This section...
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This clip is from the chapter "Assumptions for Linear Regression Analysis" of the series "Statistics for Data Science and Business Analysis".This section...
Curated Video
Adding & Subtracting Linear Expressions
In this video, the teacher explains how to add and subtract linear expressions using algebra tiles and the vertical method. The lesson also clarifies what a linear expression is and how to simplify it to its simplest form.
Virtually Passed
A better way to understand Differential Equations | Nonlinear Dynamics (Part 3)
These second-order nonlinear differential equations can be written in the form:
dx/dt = f
(x,y)
dy/d
t = g(x,y)
Got a nonlinear differential equation? No problem, just linearize it! This method...
dx/dt = f
(x,y)
dy/d
t = g(x,y)
Got a nonlinear differential equation? No problem, just linearize it! This method...
Curated Video
Linear vs. Nonlinear Functions
In this video lesson, we will learn how to determine if a graph, table of values, or an equation represents a linear or nonlinear function. We will look at a graph for a nonvertical line to determine it is linear. We will look for a...
Curated Video
Determining Linear and Nonlinear Functions
In this video, the teacher focuses on teaching students how to identify linear and nonlinear functions from tables, equations, and graphs. The teacher explains the characteristics of linear and nonlinear functions and provides examples...
Curated Video
Describing Scatter Plots: Understanding Patterns and Associations
The video is a lesson on how to describe scatter plots. It begins by explaining the use of the XY coordinate plane and how points are plotted on it. The instructor then introduces scatter plots, which plot points by comparing two...
Physics Girl
How science explains monster waves
Rogue waves - enormous, spontaneous surface waves in the open ocean - were once the tall tales of sailors. They are waves that reach 2-3x taller than the largest average waves in the area, reaching heights of 75 – 100ft. With the help of...
Curated Video
Interpreting Scatter Plots: Linear or Nonlinear Relationships
In this lesson, students will learn how to interpret scatter plots by determining if they are linear or nonlinear. By analyzing the shape of the graph, students will be able to identify whether the relationship between the variables is...
Curated Video
Identifying Linear and Nonlinear Graphs and Equations
In this lesson, students are introduced to the concept of linear functions, which create straight lines, and nonlinear functions, which do not. The lesson covers different ways to write linear equations, such as the slope-intercept form...
Sophia Learning
Sophia: Simultaneous Nonlinear Equations: Lesson 2
This lesson explains the concept of nonlinear equations, types of solution sets and the number of equations and variables. It is 2 of 5 in the series titled "Simultaneous Nonlinear Equations."
Sophia Learning
Sophia: Simultaneous Nonlinear Equations: Lesson 1
This lesson explains the concept of nonlinear equations, types of solution sets and the number of equations and variables. It is 1 of 5 in the series titled "Simultaneous Nonlinear Equations."
Sophia Learning
Sophia: Simultaneous Nonlinear Equations: Lesson 4
This lesson explains the concept of nonlinear equations, types of solution sets and the number of equations and variables. It is 4 of 5 in the series titled "Simultaneous Nonlinear Equations."