Articles
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Git Basics: Distributed Workflows |Everything You Need to Know to Become an Expert
Distributed Workflows :- Unlike centralised version control systems (CVCS), the distributed nature of allows you to be far more flexible in how developers collaborate on projects. In centralised systems, each developer is a node working more or less uniformly with a central hub. However, each developer is potentially both a node and a hub; That...
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What is IoT Architecture | How its Work [ OverView ]
Introduction :- The Internet of Things (IoT) era has an extensive type of programs and use of Internet of Things is developing so fast. Depending upon distinctive utility regions of Internet of Things, it really works as a consequence as in step with it's been designed/developed. But it has now no longer a popular...
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Top AWS DevOps Tools for Cloud Build and Deployment | A Complete Guide with Best Practices
Introduction to Important AWS DevOps Tools: AWS delivers services that allow you to rehearse DevOps at your business and that are constructed first for use with AWS. These tools automate manual jobs, support teams manage difficult situations at scale, and support makers are in possession of the high speed that is permitted by...
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Root Cause Analysis: Definition, Examples & Methods | All you need to know [ OverView ]
Introduction to Root cause analysis: Delivering quality patient care may be a fundamental tenant of medical and surgical training. Multiple orthopedic programs, including The Patient Safety Committee of the American Academy of Orthopaedic Surgeons (AAOS), are executed to measure the standard of surgical care, also as decrease the incidence of...
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What Makes the Difference between Containers Vs Virtual Machines | All you need to know [ OverView ]
Introduction: Container and VMs are fundamentally the same as asset virtualization advances. Virtualization is the cycle where a framework solitary asset like RAM, CPU, Disk, or Networking can be 'virtualized' and addressed as various assets. The vital differentiator among compartments and VMs is that VMs virtualize a whole machine down to the...
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What is Agile |Its Methodology and Types | How to Implement [ OverView ]
Agile is an iterative approach to software development that helps teams deliver value sooner, foster better collaboration, and release higher quality software. It was born in 2001 when 17 independent software practitioners got together and developed the Agile Manifesto. Agile methodology definition A brief history of Agile methodology 7...
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What’s AWS VPC? Amazon Virtual Private Cloud Explained | A Complete Guide with Best Practices
Introduction to Amazon's Virtual Private Cloud: Amazon’s Virtual Private Cloud (VPC) is a foundational AWS service in both the Compute and Network AWS classes. Existing foundational means that other AWS services, such as Elastic Compute Cloud (EC2), cannot be accessed without an underlying VPC network. Creating a VPC is critical to operating...
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Supervised Learning Workflow and Algorithms | A Definitive Guide with Best Practices [ OverView ]
Introduction to Supervised Machine Learning: Supervised learning is the kind of machine learning in which devices are trained using well "labeled" training data, and based on that data, machines expect the output. The labeled data means some input data is already labeled with the proper output. In supervised learning, the training data...
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What is a Confusion Matrix in Machine Learning? : A Complete Guide For Beginners
Introduction to confusion Matrix Confusion Matrix - Not so confusing! Have you been in a situation where you expected your machine learning model to perform really well, but it shows poor accuracy? You've done all the hard work - so where did the classification model go wrong? How can you fix it? There are lots of ways to measure the...
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Bagging vs Boosting in Machine Learning | Know Their Differences
Bagging Vs Boosting: We all use decision tree techniques in daily life to make decisions. Organisations use these supervised machine learning techniques such as decision trees to make better decisions and generate more surplus and profit. Ensemble methods combine different decision trees to produce better predictive results, the latter using...
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