This mini course will explain what is machine learning and illustrates how machine learning is used in Inventory Management and Predictive Analysis; Assets Management and Risk; Informational Retrieval, Advertising Targeting, Product Pricing, and will explain machine learning algorithms.
What am I going to get from this course?
- Define Machine Learning and give a brief history of Machine Learning.
- Define Data including Data Types, Data Dimensions, and Data Classifications in terms of Computer Programming and apply this knowledge in classifying their own data.
- Define Algorithm including the various types of Algorithms and the Logic using in Computer Programming and apply these concepts to writing their own algorithms.
- Understand what a Protocol is for, name the types of
- Protocols used by computer networks, the different types of networks including the Internet and World Wide Web.
- Understand the underlying numeral systems used in machine languages and the various levels of programming languages.
- Understand how Machine Learning applies to Inventory Management, Assets Management and Risk Analysis and how Machine Learning applies to their business and personal finance.
Prerequisites and Target Audience
What will students need to know or do before starting this course?
- There is no required materials or software for this course.
Who should take this course? Who should not?
As an introduction to Machine Learning, this course is presented at a level that is readily understood by all individuals interested in Machine Learning. This course provides a history of Machine Learning, defines data and explains what is meant by big data; and classifies data in terms of computer programming. It covers the basic concept of numeral systems and the common numeral systems used by computer hardware to establish programming languages. Providing practical applications of Machine Learning.
Module 1: Introduction to Machine Learning
An Introduction to Machine Learning
In this presentation we introduce the concept of computer data, algorithms, protocols, networks, the Internet and the World WIde Web; in addition to various computer langugaes, coding in terms of two numerical systems (Assemble Language).
Quiz on An Introduction to Machine Learning
Quiz one covers several to the terms and concepts introduced in Lecture 1: An Introduction to Machine Learning.
Quiz on An Introduction to Machine Learning (cont)
Quiz two covers several to the terms and concepts introduced in Lecture 1: An Introduction to Machine Learning.
A brief history of Machine Learning
This presentaion covers a brief history of Machine Learning.
Quiz on the History of Machine Learning
This quiz covers the topics introduced in the Brief History of Machine Learning.
This presentation outlines the various types and forms of computer data. How data is classified, introducting big data and the variable types used in machine learning.
Quiz on Data Classifications: Declarations and Types
This quiz covers data dimensions and big data; in addition to data types.
This presentation is on several types of algorithms and the logic used to instruct the computer.
Quiz on Algorithms
This quiz covers the various types of algorithms.
In this presentation, we discuss the four main types of protocols in Machine Learning and introduce several protocols used in applicaitons.
This quiz covers the various types of protocols.
Quiz on Types of Computer Networks
This quiz is on the various types of Computer Networks
Logic Used in Programming
In this presentation, the logical statements and operators are introduced including conditional statements, loops and logical connective operators.
Quiz on the Logic Used in Programming
This presentation covers the common base ten and the two common computer bases: binary and hexadecimal.
Quiz on Numeral Systems
This quiz cover the numeral systems used in computers and machine languages.
Module 2: Management using Machine Learning
Inventory Management and Predictive Analysis
In this presentation, machine learning is applied to maintaining inventory and using predictive analysis to ensure that we are never left without inventory to sell.
This quiz covers inventory management including predictive analysis.
Assets Management and Risk
This presentation is on assets management in machine learning
Information Retrieval and Advertising Targeting
In this presentation we discuss information retrieval in terms of personal information gathered by personal computers and data retrieval from a large number of files; in addition to has the results of Internet searches can result in target advertising.
Information Retrieval and Advertising Targeting
This quiz covers the types of information retrieval and advertising Targeting.