Markov Chains

A popular model for systems that change over time in a random manner is theMarkov chain model. A Markov chain is a sequence of random variables, one foreach time. At each time, the corresponding random variable gives the state of thesystem. Also, the conditional distribution of each future state given the past statesand the present…

Creating Mash-ups of data from multiple source in Excel

VanArsdel is a company that manufactures and sells sporting goods. The company has offices in the United States (US) and several other countries. Its sales comprise of US sales and International sales. VanArsdel’s sales come from its owned manufactured products, as well as other manufacturers’ products.  VanArsdel’s US office stores the sales data on a SQL…

Create an IoT hub using the Azure portal

Create an IoT hub This section describes how to create an IoT hub using the Azure portal. Sign in to the Azure portal. From the Azure homepage, select the + Create a resource button, and then enter IoT Hub in the Search the Marketplace field. Select IoT Hub from the search results, and then select Create. On the Basics tab, complete the fields as follows: Subscription: Select the…

Cloud Engineering: Creating a Virtual Machine

Introduction: Google Compute Engine lets you create virtual machines running different operating systems, including multiple flavors of Linux (Debian, Ubuntu, Suse, Red Hat, CoreOS) and Windows Server, on Google infrastructure. You can run thousands of virtual CPUs on a system that has been designed to be fast and to offer strong consistency of performance. Here,…

BigQuery ML(move your model towards data and not data towards model)

Overview BigQuery ML enables users to create and execute machine learning models in BigQuery using standard SQL queries. BigQuery ML democratizes machine learning by enabling SQL practitioners to build models using existing SQL tools and skills. BigQuery ML increases development speed by eliminating the need to move data. BigQuery ML functionality is available by using:…

Explore a BigQuery Public Dataset

Storing and querying massive datasets can be time consuming and expensive without the right hardware and infrastructure. Google BigQuery is an enterprise data warehouse that solves this problem by enabling super-fast SQL queries using the processing power of Google’s infrastructure. Simply move your data into BigQuery and let us handle the hard work. You can control access…

Categorize iris flowers using k-means clustering with ML.NET

This tutorial illustrates how to use ML.NET to build a clustering model for the iris flower data set. In this tutorial, you learn how to: Understand the problem Select the appropriate machine learning task Prepare the data Load and transform the data Choose a learning algorithm Train the model Use the model for predictions Prerequisites Visual Studio 2017…

Introduction to Normal Random Variables: Overview

In the Exploratory Data Analysis sections of this course, we encountered data sets, such as lengths of human pregnancies, whose distributions naturally followed a symmetric unimodal bell shape, bulging in the middle and tapering off at the ends. Many variables, such as pregnancy lengths, shoe sizes, foot lengths, and other human physical characteristics exhibit these properties: symmetry…

Conditional Probability and Independence Introduction

Introduction In the last section, we established the five basic rules of probability, which include the two restricted versions of the Addition Rule and Multiplication Rule: The Addition Rule for Disjoint Events and the Multiplication Rule for Independent Events. We have also established a General Addition Rule for which the events need not be disjoint. In order to complete…