Instructional Video3:12
Curated Video

Reinforcement Learning and Deep RL Python Theory and Projects - Why Deep Learning

Higher Ed
This video explains why we need deep learning.
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This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the DNN...
Instructional Video11:19
msvgo

Median of Grouped Data

K - 12th
It explains how to compute the median of continuous frequency distribution and conversion of "less than" type and "more than" type data into cumulative frequency distribution.
Instructional Video4:00
Brian McLogan

How to show that a solution exists to a functions using IVT

12th - Higher Ed
How to show that a solution exists to a functions using IVT
Instructional Video4:37
Brian McLogan

Evaluate the limit for from the graph of a continuous function

12th - Higher Ed
πŸ‘‰ Learn how to evaluate the limit of a function from the graph of the function. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. When...
Instructional Video5:25
Curated Video

Present Perfect Continuous - Basic English Grammar Lesson

Pre-K - Higher Ed
Let's look at the present perfect continuous tense. I have been trying to teach this basic English grammar lesson for weeks.

Show me that you have understood how to use the present perfect continuous tense by placing an example...
Instructional Video5:02
Instructional Video3:40
Brian McLogan

Calc Unit 3 Applying the IVT to a table of values

12th - Higher Ed
Calc Unit 3 Applying the IVT to a table of values
Instructional Video4:33
Brian McLogan

What are removable and non-removable discontinuties

12th - Higher Ed
πŸ‘‰ Learn how to find the removable and non-removable discontinuity of a function. A function is said to be discontinuous at a point when there is a gap in the graph of the function at that point. A discontinuity is said to be removable...
Instructional Video4:23
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Methods: Regression

Higher Ed
In this video, we will cover regression.
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This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we will...
Instructional Video4:59
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Machine Learning Methods: Classification

Higher Ed
In this video, we will cover classification.
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This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we...
Instructional Video6:50
Brian McLogan

T Misconceptions Piecewise Functions

12th - Higher Ed
T Misconceptions Piecewise Functions
Instructional Video12:22
Curated Video

Probability Statistics - The Foundations of Machine Learning - Exploring Data Types in Code

Higher Ed
In this video, you will learn how to explore data types in code.
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This clip is from the chapter "Diving in with Code" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section, we will...
Instructional Video4:31
Curated Video

Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - The Major Steps in Predictive Modeling

Higher Ed
This video explains the major steps in predictive modeling.
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This clip is from the chapter "Introduction to SAS Predictive Modeling Using Logistic Regression" of the series "Complete SAS Programming Guide - Learn SAS and...
Instructional Video23:23
Schooling Online

Physics Kinematics: Motion in a Straight Line - Converting between Graphs of Motion Part 2

3rd - Higher Ed
The cunning Carmen breaks into a jewellery store and steals $5 million in diamonds! Vector Man can’t help because he is crippled by hunger. Will the police be able to catch her? This lesson will outline how to convert between graphs of...
Instructional Video5:26
Brian McLogan

Overview Intermediate Value Theorem - Online Tutor - Free Math Videos

12th - Higher Ed
πŸ‘‰ Learn about zeros and multiplicity. The zeroes of a polynomial expression are the values of x for which the graph of the function crosses the x-axis. They are the values of the variable for which the polynomial equals 0. The...
Instructional Video13:17
Curated Video

Practical Data Science using Python - Classification Problems and Performance Metrics

Higher Ed
This video explains classification problems and performance metrics.<br<br/>/>

This clip is from the chapter "Machine Learning" of the series "Practical Data Science Using Python".This section explains machine learning.
Instructional Video2:32
Curated Video

Deep Learning - Deep Neural Network for Beginners Using Python - Discrete Versus Continuous Error Function

Higher Ed
In this video, we will discuss about two different natures of error functions, which are discrete and continuous error functions.
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This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep...
Instructional Video11:45
Curated Video

Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - 3 Phase Multiple Imputation Process Using SAS

Higher Ed
This video focuses on a three-phase multiple imputation process using SAS.
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This clip is from the chapter "SAS Predictive Modeling, Prepare the Input Variables" of the series "Complete SAS Programming Guide - Learn SAS and...
Instructional Video9:58
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Multiple Random Variables: Joint Distributions

Higher Ed
In this video, we will cover joint distributions.
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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)...
Instructional Video3:09
Curated Video

Deep Learning - Deep Neural Network for Beginners Using Python - Sigmoid Function

Higher Ed
In this video, you will learn about the Sigmoid function.
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This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will cover...
Instructional Video19:45
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Data Preparation and Preprocessing: One Hot Encoding

Higher Ed
In this video, we will cover one hot encoding.
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This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we...
Instructional Video5:07
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Expectations: Definition

Higher Ed
In this video, we will cover definition.
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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...
Instructional Video2:29
Curated Video

Data Science and Machine Learning (Theory and Projects) A to Z - Continuous Random Variables: Zero Probability to Individual Values Solution 01

Higher Ed
In this video, we will cover zero probability to individual values solution 01.
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This clip is from the chapter "Basics for Data Science: Mastering Probability and Statistics in Python" of the series "Data Science and Machine...