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Deep Learning

When taking a Linux Academy course, you may feel like you’re doing some deep learning as you’re absorbing the knowledge and gaining the skills of a new subject. But there’s another kind of deep learning attracting attention these days, in which algorithms are used to understand data.

Deep learning is a type of machine learning. Machine learning is the use of algorithms to find patterns in data. There are a wide variety of algorithms that are each tuned to a particular purpose. Deep learning algorithms have the ability not only to analyze data sets having a large number of features, but also to analyze binary data like images, videos, and audio files. Deep learning is typically based on the use of neural networks, which contain several layers of processing nodes that each build upon the learning of the previous layer. (more…)

AWS QuickSight

AWS QuickSight is the BI (business intelligence) tool from AWS that enables creating attractive visualizations and perform ad-hoc data analysis on business data with the added advantage of high speed and scalability. Created by the leading cloud provider, it fills the void of a business analytics tool, which is an important part of a data analytics ecosystem. AWS QuickSight is the perfect answer to fthe BI needs of Amazon’s massive customer base, which already stores massive amounts of data in various AWS services like Athena, Redshift, RDS, S3 and others. QuickSight also offers an app for iOS and Android devices. (more…)

New Course: Machine Learning with Azure!

Linux Academy Announces Machine Learning with Azure

Machine learning is the ability for computer programs to perform specific tasks without being explicitly programmed to do so. These computer programs are backed by self-learning algorithms that rely on training data to learn and improve on accuracy incrementally. When it comes to training data, more is better. The larger the training data set, the more accurate the machine learning program at performing its tasks. Although machine learning has been around since the 1950s, when the first computer program to play the game of checkers was built, the recent “big data era” and the increased availability of tools have pushed the momentum of machine learning. Adoption of machine learning has accelerated where enterprise data is used to build predictive analytical functions that enable business-wide profitable decisions. (more…)

AWS Athena

Introducing AWS Athena

At the re:Invent conference held in Las Vegas in November 2016, Amazon’s CEO announced Athena, among a series of new services. Athena’s specialty is to support interactive queries using SQL over data stored in S3 buckets. What sets it apart from Amazon’s Redshift, used for data analysis on a highly structure data warehouse environment and Amazons EMR, used for data analysis on unstructured data, is Athena’s simplicity and ease of use. (more…)

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Exploring Careers in Big Data

There is no dearth of articles and blogs on the rising demands for big data professionals and data scientists. Big data does provide some of the hottest new jobs out there, but how does one get started on this path for establishing a career in big data? In this blog, we will clarify just what exactly encompasses a career in big data and how you can join the big data bandwagon even if you are not a data scientist or a data engineer. (more…)

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What is Machine Learning?

When machines learn without being explicitly programmed, it is called machine learning. The classic definition of machine learning as coined by Tom Mitchell is: “A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P if its performance at tasks in T, as measured by P, improves with experience E.” (more…)