Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Random Variables: Binomial Random Variables
In this video, we will cover binomial random variables. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Experiment: Outcome and Sample Space
In this video, we will cover outcome and sample space. 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...
Bill Carmody
Resource Utilization with Project Management Information Systems
In this video, Bill Carmody discusses the importance of resource utilization in project management. He explains how a project management information system (PMIS) can help track and monitor the allocation of resources, such as time and...
Curated Video
Selenium WebDriver with Java - Basics to Advanced and Frameworks - Framework Learning Plan
This video presents an overview of how to plan to learn the Framework. This clip is from the chapter "Framework Learning Plan" of the series "Selenium WebDriver with Java - Basics to Advanced and Frameworks".This section gives an...
FuseSchool
MATHS - Statistics - And and Or rule
In this video we are going to look at the “and” and “or” rules of probability and what the term mutually exclusive means.
Curated Video
Practical Data Science using Python - Decision Tree - Learning Steps
This video explains decision tree - learning steps. This clip is from the chapter "Classification using decision trees" of the series "Practical Data Science Using Python".This section explains classification using decision trees.
Curated Video
Agile Project Management - How to Establish Stakeholders
This video explains how to establish stakeholders. This clip is from the chapter "Establishing Stakeholders" of the series "Agile Project Management".This section explains getting started with JavaScript.
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Experiment: Event
In this video, we will cover Event. 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 section,...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Random Variables: Introduction
In this video, we will cover an introduction. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Random Variables: Geometric Random Variable
In this video, we will cover geometric random variable. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Probability Model: Probability Models Example
In this video, we will cover probability models example. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Probability Model: Conditional Probability
In this video, we will cover conditional probability. 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...
Curated Video
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)...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Probability Model: Conditional Probability Example
In this video, we will cover conditional probability example. 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)...
Curated Video
AWS Certified Data Analytics Specialty 2021 - Hands-On! - CloudWatch Subscription Filter with Kinesis
This video focuses on the CloudWatch subscription filter with Kinesis. This clip is from the chapter "Domain 1: Collection" of the series "AWS Certified Data Analytics Specialty 2021 "Hands-On!".In this section, you will learn to build...
Curated Video
Selenium WebDriver with Java - Basics to Advanced and Frameworks - Social Proof for Bestseller in Selenium Cateogory
This video provides a walk-through of the course outcomes and pre-requisites needed for the course. This clip is from the chapter "Selenium Introduction" of the series "Selenium WebDriver with Java - Basics to Advanced and...
Bill Carmody
Defining Scope, Quality, Responsibility & Activity Sequence
In this video, Bill Carmody explains the key elements that contribute to an effective project: scope, quality, responsibility, and activity sequence. He emphasizes the importance of establishing a clear project objective and defining the...
Bill Carmody
Balancing Project Constraints: Finding the Optimal Outcome
In this video, Bill Carmody discusses the importance of balancing project constraints. By understanding the trade-offs and prioritizing what is most important, project managers can make informed decisions and optimize their projects.
Bill Carmody
Project Initiation: Identifying Needs and Outcomes
In this video, the speaker explains the importance of project initiation and how it sets the foundation for successful project planning and execution.
TLDR News
Can the Democrats Snatch the Midterms?
We're moments away from the midterm results, so we wanted to breakdown the latest data. We'll examine who's most likely to win each of the chambers, the states to watch and what to expect...
Bill Carmody
Defining Project Activities
In this video, Bill Carmody explains the process of defining project activities. He emphasizes the importance of breaking down a project into smaller components and assigning specific tasks to different teams or departments.
Healthcare Triage
Relative Risks of Acetaminophen, ADHD, and Autism
You’ve probably heard before that acetaminophen during pregnancy is associated with symptoms of ADHD and Autism in offspring. Well, we’ve got another study on that association. In today’s episode, we examine that study and revisit why we...
Coach Dan Blewett
Athletes: Reduce Frustration Using This Mindset - Mental Training For Sports
Few outcomes in sports are completely controllable by any single athlete, and mental skills training helps us with this. Focusing on controllable outcomes only will yield less moments of despair when things don't go our way simply due to...
msvgo
Experimental Probability
It explains Experimental Probability and the associated terms. It also explains Empirical Probability.