Power BI recently able users to embedded the R graphs in Power BI. There are some R visuals that it would be very nice to have them in Power BI. What is R ? Based on Wikipedia, R is an open source programming language and software environment for statistical computing and graphics that is supported Read more about Have more Charts by writing R codes inside Power BI: Part 1[…]
In the previous post, the main concepts of Machine Learning has been explained very briefly. However, if we want to talk about Machine Learning, it needs to read a whole book. In the second part, I am going to show the main Azure ML environment and its essential components. Azure ML has two type of Read more about Azure Machine Learning Part 2: Azure ML Environment[…]
In this series, I will talk about Microsoft cloud machine learning: Azure ML. I will explain the main components and concepts of Azure ML. In the first post, I will talk about the Machine Learning concepts and Azure ML. What is Machine Learning: Machine learning according to Wikipedia is: “subfield of computer science that gives Read more about Azure Machine Learning Part 1: Introduction[…]
K Nearest Neighbour (KNN ) is one of those algorithms that are very easy to understand and it has a good level of accuracy in practice. In Part One of this series, I have explained the KNN concepts. In Part 2 I have explained the R code for KNN, how to write R code and how Read more about Prediction via KNN (K Nearest Neighbours) KNN Power BI: Part 3[…]
In the previous post (Part 1), I have explained the concepts of KNN and how it works. In this post, I will explain how to use KNN for predict whether a patient with Cancer will be Benign or Malignant. This example is get from Brett book[1]. Imagine that we have a dataset on laboratory results of some patients Read more about Prediction via KNN (K Nearest Neighbours) R codes: Part 2[…]
In previous post you’ve learned about data structures in R. In this post I’ll explain Data Gathering, Data Understanding, and Data Cleaning, which are the main tasks of data management that need to be done before any machine learning process. In this post I will explain how to fetch data from Spreadsheet and SQL Server. Read more about R Data Gathering from Spreadsheet and SQL Server[…]
Every programming language has specific data structure. R language also has some predefined data structure that each of them can be useful for specific purposes. For doing machine learning in R, we normally use data structure such as Vector, List, Data Frame, factors, arrays and matrix. In this post I will explain some of them Read more about R Data Structures for Machine Learning[…]
It is a honor for me that I’ve been selected to speak in Microsoft Ignite New Zealand 2015. Microsoft Ignite New Zealand 2015 (TechED) is an annual conference for developers and IT professionals put on by Microsoft. It is held in several locations around the world. and it’s the biggest annual technology event in New Zealand. This conference gives Read more about I’ll Speak in Microsoft Ignite (TechED) New Zealand 2015; First time[…]
Predictions always matter; it is always nice to find a pattern in existing data. It will help to have a more accurate decision-making. These days, I am busy with designing and implementing a prototype for tourist recommendation system. I need to use variety of data mining algorithm such as “clustering” “Decision Tree”, “Regression”, “Neural Network”. All of these algorithms accept inputs with different data types. These inputs are the main factors that will affect the predictions.
Data Scientist is a hot job nowadays in the market and there are lots of demand for it. Data Science origins from the BI field and sits under umbrella of Business Intelligence, because the data science and data mining helps decision makers in their decision making process. To have an idea about how data mining can solve real world issues, think about loyalty program of the super market that you usually use close to your home. Loyalty program simply analyze your purchase history and based on that it comes up with some suggestion and prediction about your next purchases and will promote that through your cell phone text messages or email or even flyers directly addressed to your home address.