Curated Video
Predictive Analytics with TensorFlow 11.2: Developing a Multiarmed Bandit's Predictive Model
One of the simplest RL problems is called n-armed bandits. The thing is there are n-many slot machines but each has different fixed payout probability. The goal is to maximize the profit by always choosing the machine with the best...
Curated Video
Finding Percentages in a Normal Distribution Using Z Scores and Tables
In this lesson, you will learn how to use Z scores and statistics tables to find the percentage of a population that falls within a certain interval. This method is particularly useful when dealing with values that are not exactly 1-2 or...
Curated Video
Predicting Population Percentages Using a Graphing Calculator
In this video, students learn how to predict population percentages using a graphing calculator. The lesson focuses on the normal model and its application to data sets. It also covers the use of the empirical rule and explores different...
Curated Video
Estimating Percentages using the Empirical Rule
This video explains how to estimate the percentage of adult American females between 5 feet and 5 feet 10 inches tall using the empirical rule. The empirical rule states that approximately 68% of the data falls within one standard...
Curated Video
Statistics for Data Science and Business Analysis - Understanding the central limit theorem
This video is about the central limit theorem - one of the most important statistical concepts. This clip is from the chapter "Inferential Statistics Fundamentals" of the series "Statistics for Data Science and Business Analysis".This...
Curated Video
Predicting Intervals and Population Percentages Using the Empirical Rule
This video explains how to use the Empirical Rule to predict intervals and population percentages in a normal distribution. It covers the concept of normal distributions, the characteristics of the Empirical Rule, and how to apply it to...
Curated Video
Multi-Paradigm Programming with Modern C++ - More Range Examples
Everything you can do with loops and algorithms; you can also do with ranges. Thanks to lazy evaluation of views, the code becomes more functional, and often more compact. • Returning ranges from functions • Creating a new range that...
Brian McLogan
Learn how to create a normal distribution curve given mean and standard deviation
👉 Learn how to find probability from a normal distribution curve. A set of data are said to be normally distributed if the set of data is symmetrical about the mean. The shape of a normal distribution curve is bell-shaped. The normal...
Packt
Create a computer vision system using decision tree algorithms to solve a real-world problem : Introduction to MatPlotLib
From the section: Python Crash Course [Optional]. In this section, we’ll continue diving into Python data structures with tuples and dictionaries, functions, Boolean Operations and Loops, and libraries like Pandas, MatPlotLib and Seaborn...
Brian McLogan
Learn how to find the geometric probability from a figure
Learn how to find the geometric probability of an event. Given a geometric figure, we can find the geometric probability of an event by taken the area of the part of the geometric figure satisfying the event divided by the area of the...
Curated Video
Predictive Analytics with TensorFlow 3.5: Getting Started with Tensorflow – Linear Regression and Beyond
In this example, we will take a closer look at TensorFlow's and TensorBoard's main concepts and try to do some basic operations to get you started. The model we want to implement simulates the linear regression. • Create data into 2D space
Catalyst University
Wilcoxon Rank Sum Test: Theory and Tutorial in Excel
Wilcoxon Rank Sum Test: Theory and Tutorial in Excel
TMW Media
Normal Probability Density
This program covers the important topic of the Normal Probability Density in Probability and Statistics. We begin by discussing what the Normal Density is and why it is important. Next, we solve several problems that involve the Normal...
Curated Video
Practical Data Science using Python - Random Variables and Normal Distribution
This video explains random variables and normal distribution. This clip is from the chapter "Statistical Techniques" of the series "Practical Data Science Using Python".This section explains advanced visualizations using business...
Curated Video
Extending the Empirical Rule: Finding Percentages within a Normal Distribution
In this video, the teacher explains how to use the empirical rule to find the percentage of data that falls within a certain interval in a normal distribution. The teacher provides examples and tips on how to apply this rule effectively.
Curated Video
PMI-RMP Certification Training - Probability Distribution
This video explains probability distribution. This clip is from the chapter "Perform Quantitative Risk Analysis" of the series "PMI-RMP® Certification Training".This section explains performing quantitative risk analysis.
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Weight Initialization
This video explains about weight initialization. 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...
Curated Video
Practical Data Science using Python - Histograms and Normal Approximation
This video explains histograms and normal approximation. This clip is from the chapter "Statistical Techniques" of the series "Practical Data Science Using Python".This section explains advanced visualizations using business applications.
Curated Video
Practical Data Science using Python - Central Limit Theorem
This video explains the Central Limit Theorem. This clip is from the chapter "Statistical Techniques" of the series "Practical Data Science Using Python".This section explains advanced visualizations using business applications.
Curated Video
Probability Statistics - The Foundations of Machine Learning - Continuous Distributions Code
In this video, we will cover continuous distributions code. This clip is from the chapter "Random Variables - Rationale and Applications" of the series "Probability / Statistics - The Foundations of Machine Learning".In this section, we...
Curated Video
Data Analytics using Python Visualizations - Plotting Histograms and Box Plots
This video explains plotting histograms and box plots. This clip is from the chapter "Matplotlib and Seaborn – Libraries and Techniques" of the series "Data Analytics Using Python Visualizations".This section introduces you to...
Curated Video
Machine Learning Random Forest with Python from Scratch - Using NumPy for Random Forest
In this lesson, you will learn about the NumPy tool available in the Python library and look at the advantages of using NumPy. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest with...
Packt
Fundamentals of Neural Networks - Linear Regression
This video explains statistical machine learning, where you will start with the linear regression model. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains...
Curated Video
Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - RAND Function (Producing a Sample with Distribution of Your Choice)
The author will show you how to use the rand function. This function allows you to produce a sample (random numbers) with a distribution of your choice. This clip is from the chapter "SAS Functions" of the series "Complete SAS...