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Oh, wait, actually the best Wordle opener is not “crane”…
Contents: 0:00 - The Bug 3:31 - How the best first guess is chosen 8:54 - Does this ruin the game?
Curated Video
Deep Learning - Crash Course 2023 - ReLU, SoftMax, and Cross Entropy
In this video, you will learn about ReLU, SoftMax, and Cross Entropy. This clip is from the chapter "Applying Deep Learning" of the series "Deep Learning - Crash Course 2023".In this section, you will learn how to implement deep learning...
Curated Video
Deep Learning - Crash Course 2023 - Data Standardization - 1
In this video, we will start working on data standardization with Sigmoid. This clip is from the chapter "Sigmoid Neuron Implement with Python" of the series "Deep Learning - Crash Course 2023".In this section, you will learn how to...
Curated Video
Deep Learning - Crash Course 2023 - Why Update Rule Works
In this video, we will understand how update rule works. This clip is from the chapter "Perceptron" of the series "Deep Learning - Crash Course 2023".In this section, you will learn about Perceptron.
Curated Video
Deep Learning - Crash Course 2023 - Loss Function and Parameter Update
In this video, you will learn about the loss function and parameter update. This clip is from the chapter "Perceptron" of the series "Deep Learning - Crash Course 2023".In this section, you will learn about Perceptron.
Curated Video
Deep Learning - Crash Course 2023 - Perceptron Model and Its Representation
In this video, you will learn more about the Perceptron model and understand its representation. This clip is from the chapter "Perceptron" of the series "Deep Learning - Crash Course 2023".In this section, you will learn about Perceptron.
Curated Video
Deep Learning - Crash Course 2023 - Activation Function
In this video, you will learn how to apply an activation function to the weighted average to make sure the output value falls between 0 and 1. This clip is from the chapter "Getting the Basics Right" of the series "Deep Learning - Crash...
Curated Video
Deep Learning - Crash Course 2023 - Artificial Neural Networks
In this video, you will learn about artificial neural networks. This clip is from the chapter "Getting the Basics Right" of the series "Deep Learning - Crash Course 2023".In this section, you will learn some basic terms used in deep...
Curated Video
Alteryx Advanced - Gathering Numbers
In this section, we will look at the transform tool set of Alteryx, which summarizes and rearranges data to prepare it for reporting and analysis. You will learn about weighted averages, running totals, count records tool, and the drag...
The Business Professor
Earning Capitalization Method - Business Valuation
What is the Earnings Capitalization Method of Business Valuation? The capitalized earnings method consists of calculating the value of a company by discounting future profits with a capitalization rate adjusted to the determining date...
The Business Professor
Anti-Dilution Protection
What is Anti-Dilution Protection? Anti-dilution protection is a contractual right that prevents your ownership percentage in a company from decreasing when new shares are issued.
Let's Tute
Calculating Stock on Date of Fire and Insurance Claim Amount
In this video, the teacher explains the process of calculating stock on the date of a fire for insurance claims. They discuss the importance of valuing stock at cost and the methods for finding the physical stock at the place of fire....
The Business Professor
Accounting for the Sale of Inventory - Intermittent Weighted Average Example
Professor AJ Kooti provides a detailed explanation of Accounting for the Sale of Inventory using the Intermittent Weighted Average method.
The Business Professor
Sale of Inventory - Intermittent Weighted Average
Intermittent Weighted Average example
The Business Professor
Accounting for Inventory Sales - Intermittent LIFO example
Professor AJ Kooti provides a detailed explanation of how to account for the sale of inventory using the intermittent LIFO method.
The Business Professor
Accounting for Inventory - Weighted Average Example
Professor AJ Kooti provides a detailed example of the Weighted Average method of accounting for inventory sales.
TMW Media
Atomic Mass of an Element
This program covers the very important topic of atomic mass of an element. We begin by discussing the structure of the atom and how this can be used to arrive at a number that represents the relative mass of the atom. This quantity will...
TMW Media
Atomic Number, Mass Number & Isotopes Part 1
This program covers the very important topics known as atomic number, mass number, and isotopes. We begin by discussing the structure of the atom and how the atomic number is used to organize the periodic table. We discuss the mass...
TMW Media
Random Variables & Introduction to Probability Distributions
This program covers the important topic of Random Variables and Probability Distributions in Probability and Statistics. We begin by discussing what a random variable is and how it applies to probability distributions. Next, we solve...
The Business Professor
Introduction to Weighted Average Costing
This video explains the concept of weighted average costing and how it is used in assigning the average cost of production to a product. The teacher highlights that this method is efficient when inventory is commoditized and all units...
The Business Professor
Accounting for Inventory - Weighted Average Example
Weighted Average Inventory Depreciation Example
Curated Video
How to Calculate Weighted Averages in Excel
In this video, I explain clearly how to calculate weighted averages in Microsoft Excel, such as when calculating students' grades where exams and coursework may be weighted differently. I show clearly step by step how such weighted...
Curated Video
Probability Statistics - The Foundations of Machine Learning - Expected Values - Decision Making Through Probabilities
In this video, we will cover expected values for decision-making through probabilities. This clip is from the chapter "Applications to the Real World" of the series "Probability / Statistics - The Foundations of Machine Learning".In this...