Brian McLogan
Find the area enclosed by the two curves using two integrals
👉 Learn how to evaluate the integral of a function. The integral, also called antiderivative, of a function, is the reverse process of differentiation. Integral of a function can be evaluated as indefinite integral or as a definite...
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I WONDER - Who Invented Roundabouts?
This video is answering the question of who invented roundabouts.
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Probability Statistics - The Foundations of Machine Learning - Conditional Probability, the Most Important Concept in Stats
In this video, we will cover conditional probability, the most important concept in stats. This clip is from the chapter "Applications and Rules for Probability" of the series "Probability / Statistics - The Foundations of Machine...
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Data Science and Machine Learning (Theory and Projects) A to Z - Sets: Venn Diagrams Operations
In this video, we will cover Venn diagrams operations. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
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Data Science and Machine Learning (Theory and Projects) A to Z - Probability Model: Probability Models Independence
In this video, we will cover probability models independence. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects)...
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Data Science and Machine Learning (Theory and Projects) A to Z - Probability Model: Probability Models Conditional Independence
In this video, we will cover probability models conditional independence. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory...
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Rust Programming Master Class from Beginner to Expert - Using External Crates
In this video, you will learn how to use external crates. This clip is from the chapter "Rust Modules and Crates" of the series "Rust Programming Master Class from Beginner to Expert".In this section, we will be exploring Rust modules...
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Deep Learning CNN Convolutional Neural Networks with Python - YOLO Non-Maxima Suppression
This video talks about the YOLO non-maxima suppression. This clip is from the chapter "YOLO" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on YOLO (You Only Live Once).
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Deep Learning CNN Convolutional Neural Networks with Python - Decision Boundary in DNN
This video explains decision boundary in DNN. This clip is from the chapter "Deep Neural Network Overview" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the overview of the deep...
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Practical Data Science using Python - Python Sets 1
This video explains Python sets, which are unordered collection objects. This clip is from the chapter "Python for Data Science" of the series "Practical Data Science Using Python".This section explains Python for data science.
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Python In Practice - 15 Projects to Master Python - Mathematical Sets Operations
This video explains mathematical sets operations, how to perform union on sets, how to perform intersection on sets, how to perform difference on sets, and how to perform symmetric difference on sets. This clip is from the chapter "Sets"...
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The Ultimate Guide to Python Programming With Python 3.10 - Set Operations
Now that we have understood how to create a set, we will execute various operations on a set. This clip is from the chapter "Sets" of the series "The Ultimate Guide to Python Programming with Python 3.10".This section discusses about an...
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Machine Learning Random Forest with Python from Scratch - Sets
Our next datatype is a set, an unordered collection of iterable and mutable data. This clip is from the chapter "Introduction to Python" of the series "Machine Learning: Random Forest with Python from Scratch©".This section focuses on...
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Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Networks and Deep Learning Basics: Decision Boundary in DNN
In this video, we will cover decision boundary in DNN. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section,...
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Data Science and Machine Learning (Theory and Projects) A to Z - Probability Model: Probability Models More Examples
In this video, we will cover probability models more examples. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects)...
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Data Science and Machine Learning (Theory and Projects) A to Z - Probability Model: Probability Models BayesRule
In this video, we will cover probability models BayesRule. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects) A...
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Data Science and Machine Learning (Theory and Projects) A to Z - Probability Model: Probability Axioms Derivations
In this video, we will cover probability axioms derivations. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects) A...
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Data Science and Machine Learning (Theory and Projects) A to Z - Probability Model: Conditional Probability Formula
In this video, we will cover conditional probability formula. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects)...
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Data Science and Machine Learning (Theory and Projects) A to Z - Sets: Python Practice Operations
In this video, we will cover Python practice operations. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
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Data Science and Machine Learning (Theory and Projects) A to Z - Sets: Operations Solution 01
In this video, we will cover operations solution 01. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
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Data Science and Machine Learning (Theory and Projects) A to Z - Sets: Operations Exercise 01
In this video, we will cover operations exercise 01. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
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Data Science and Machine Learning (Theory and Projects) A to Z - Sets: Operations
In this video, we will cover operations. This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
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Solving Equations and Graphing Cubic Functions using Substitution Method
This video shows the process for solving the problem presented in IGCSE A June 2018 paper 2H Q14, which involves solving equations and graphing cubicfunctions using the substitution method. Students will understand the concept of cubic...
Brian McLogan
Applying vertical angles and same side interior to solve for x ex 12
👉 Learn how to solve for an unknown variable using parallel lines and a transversal theorems. Two lines are said to be parallel when they have the same slope and are drawn straight to each other such that they cannot meet. In geometry,...