Get Git Repo Details Create a branch and start working on that feature new branch Commit Often and Push often Do a developer testing and make self you have completed the task Make a PR request and inform peers/lead to review Address lead review comments. Get your branch merged to master branch, you get moving with other task Do PO and Tester do a functional testing, against your Acceptance criteria.

Developers who works daily with JSON, should be handy with JSON Path, JSON Pointer, JSON Schema and JQ Command line processor — JSON Path JSON Path is similar to XPath for JSON, help to search and aggregation etc. Refer: https://github.com/json-path/JsonPath You read more about it in https://www.baeldung.com/guide-to-jayway-jsonpath JSON Pointer JSON Pointer is the syntax for identifying a specific value with in a JSON document.

SL4J — Facade for different Loggers Problem It is a facade for different Loggers, what that means, In our project we use different libraries example in our Spring Rest application we are using Log4J and ActiveMQ client in project which use a different library Logback. Solution So we have configure both Log4J and Logback into our project, Instead If both project had exposed SL4J, we can configure much easily as SL4J configuration can shared between multiple loggers, very easily.

Before speaking about NoSQL, we should know some of the RDBMS — Cons Do not support, distributed storage or computing — even though RDBMS support replication of data, supporting resiliency and availability but has hard limit, i.e., bounded to hardware limitation of the Master. Impedance Mismatch — when designing a…

For an ML Classification Project what it means by Precision or Recall? Input to the Model: Consider 12 images of Dog are fed to a Classification model to predict Model Predicated as below: Dogs = 8 ( 5 were real dogs, or 5 was the correct predicted output and 3 prediction was wrong) Precision = 5/8 (Quality of Prediction) Recall = 5/12 (Quantity of Prediction) Precision can be seen as a measure of exactness or quality, whereas recall is a measure of completeness or quantity.

Suppose we have implemented a model for prediction and the model predicts a lot of errors, here I would like to discuss how to diagnose it and make the model better. How should we improve this learning algorithm? Possibly try out steps below, Get more data for training Reduce feature …