Posted in AWS, Cloud Computing

Top 10 cloud computing uses and example


Cloud computing is a foundation and programming model that empowers pervasive access to shared pools of capacity, systems, servers, and applications.

This makes most extreme speed and unwavering quality. AWS training offers solid, versatile, and reasonable distributed computing administrations.Be that as it may, the best advantage is its simplicity of establishment, low support, and versatility. Along these lines, it develops with your requirements. Continue reading “Top 10 cloud computing uses and example”

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Posted in Cloud Computing, AWS

5 Reasons Why Startups Should Consider Cloud Computing


Cloud computing is by a long shot the most hyperbolic innovation of the most recent decade that has re-imagined the manner in which organizations contend in this day and age. In the least complex of terms, the Cloud offers a clever, multi-reason and adaptable option in contrast to neighborhood stockpiling by enabling your business to access and store your data on an outside stage.

The cloud facilitating and processing patterns have been an aid for some organizations by offering incredible adaptability and versatility, particularly for new companies. The innovation has helped the new companies to push their predicament upwards to coordinate the pace of huge names in the business regarding innovation.  AWS Certification is a program intended to furnish your startups with the assets you have to begin on AWS. Continue reading “5 Reasons Why Startups Should Consider Cloud Computing”

Posted in DevOps

3 Ways Agile Can Help You Prioritize Tech Debt


By Shanie Weissman

Every software development team creates technical debt that it strives to minimize. Systemic tech debt can seriously slow down development, demotivate engineers, force a ground-up rewrite, or even kill the company.

Repaying technical debt and developing features constantly compete for backlog priority. Some teams are better at repaying this debt than others and succeed in recognizing tech debt’s negative impacts, quantifying possible impacts, prioritizing fixes, and committing to a resolution plan. Addressing the technical issues seems to be the easy part and usually entails refactoring or changing some code. The hard part is prioritizing and quantifying technical debt. Development teams fail to resolve debt because they don’t prioritize well, not because they cannot fix technical issues.  Continue reading “3 Ways Agile Can Help You Prioritize Tech Debt”

Posted in DevOps

How HPQC TFS Integration Helps Improve Product Quality & Accelerate Delivery Cycle


Microsoft Team Foundation Server (TFS) is used by several enterprises to manage their development work whereas HP ALM/QC (Now known as Micro Focus ALM) is extensively used for its quality control module. Integrating these two systems can, therefore, help remove the visibility ‘black hole’ between the development and the quality control teams; thereby, eliminating the possibilities of miscommunication, delayed communication, or exchange of incorrect/outdated data. HP QC integration with TFS further ensures that both teams have complete visibility into each other’s tasks in real time and they are on the same page regarding delivery timelines & quality parameters.

Let us look at a potential real-life scenario to understand how HP ALM TFS integration can help teams an enterprise work efficiently. Continue reading “How HPQC TFS Integration Helps Improve Product Quality & Accelerate Delivery Cycle”

Posted in AWS, Cloud Computing

Serverless Computing: Its advantages and limitations


Serverless architecture significantly depends on third-party services or on custom codes that runs in ephemeral containers, the best known vendor host is AWS Lambda.

After the inclusion of AWS Lambda in 2014 by Amazon, “serverless” gained a huge repute in the industry. This let the firm witnessing a brisk thrive in terms vendors entering the new market with their own solutions. The gaining popularity of Serverless computing prevailed for long because the businesses that access the technology does not have to rent or provision servers for the back-end code to run. Continue reading “Serverless Computing: Its advantages and limitations”

Posted in Java

Artificial Intelligence with Java: Understanding the Min-Max Algorithm in AI Games


Learn the min-max algorithm in this tutorial by Nisheeth Joshi, an associate professor and a researcher at Banasthali University with a Ph.D. in Natural Language Processing.

In order to understand the min-max algorithm, you should get familiar with game playing and game trees. A game tree is made of a root node, which has child nodes. Each child node is then subdivided into multiple children. This forms the tree, and the terminal nodes are termed leaves, as shown in the following diagram:

Continue reading “Artificial Intelligence with Java: Understanding the Min-Max Algorithm in AI Games”

Posted in Python

Artificial Intelligence Project in Python: Identifying the Genre of a Song with Neural Networks


Learn how to identify the genre of a song with neural networks in this tutorial by Joshua Eckroth, an assistant professor, who teaches big data mining and analytics, artificial intelligence (AI), and software engineering. He also has a PhD in AI and cognitive science.

This article will show you how to build a neural network that can identify the genre of a song. Use the GTZAN Genre Collection (http://marsyasweb.appspot.com/download/data_sets/.GTZAN Genre Collection). It has 1,000 different songs from over 10 different genres, with 100 songs per genre and each song is about 30 seconds long.

Use the Python library, librosa to extract features from the songs and use Mel-frequency cepstral coefficients (MFCC). MFCC values mimic human hearing, and they are commonly used in speech recognition applications as well as music genre detection. These MFCC values will be fed directly into the neural network.

Continue reading “Artificial Intelligence Project in Python: Identifying the Genre of a Song with Neural Networks”