A.I, Data and Software Engineering
In real-world data, there are some instances where a particular element is absent because of various reasons, such as corrupt data, failure to load the information, or incomplete extraction. Handling the missing values is one of the greatest challenges faced by analysts because making the right decision on how to handle it generates robust data models. Let us look at different ways of imputing...
Amazon EFS, Amazon EBS, and Amazon S3 are AWS’ three different cloud storage types that can be applied for different types of workload needs. Let’s take a closer look at the key features of each option, as well as the similarities and differences. Amazon EBS delivers high-availability block-level storage volumes for Amazon Elastic Compute Cloud (EC2) instances. It stores data on a file...
There is much confusion for beginners in machine learning. One of the frequently asked questions is the difference between predictor vs. estimator. Let get some note: Different usage “Prediction” and “estimation” indeed are sometimes used interchangeably in non-technical writing and they seem to function similarly, but there is a sharp distinction between them in the...
The features you use influence more than everything else the result. No algorithm alone, to my knowledge, can supplement the information gain given by correct feature engineering.— Luca Massaron What is a feature and why we need engineering of it? Basically, all machine learning algorithms use some input data to create outputs. This input data comprise features, which are usually in the form...
“What is the best programming language to learn” is generally not a good question. A language should bind to a purpose, developing environment. Set it aside, popular languages often come with trending jobs. Here is the list of top 7 programming languages to consider in 2020 and 2021. 1. Python python trademark The programming language continues to be one of the best programming...
A.I, Data and Software Engineering