Software Engineer at HCL Softwares
#Believe in Communication
#❤️ Algorithm is Power.
#Give Time to the things that you wanna Learn.
#Search Engine #Investing
@elonmusk Recommendation is basically related to unsupervised learning when we form clusters on the basis of pattern recognition.
Basically you should simply say to them that what kind of data you are having are you training your data and monitoring as well .
@elonmusk "Congratulations, @elonmusk! Your efforts have shaped today's America. From the Falcon spaceship's fourth attempt defying odds to acquiring Twitter, your decisions are truly inspiring!".
To handle pressure, we need time to chill—whether it’s relaxing in a quiet place, enjoying a drink, or just having a break. Without some free hours to reset, it's impossible to keep working endlessly, even if we love what we do, so I feel let's try to understand the pattern.
Dear @priyankac19,
Had referred to this matter in a talk delivered in Tamil at a deemed University on the outskirts of Chennai.
Had specifically mentioned that after clearing a demanding and rigorous examination such as CA, the stress on her was unbearable. No names were taken, neither of the lady nor of the firm.
The University has set up a Meditation Hall and a place of worship for all its students and faculty. It is in this context that I spoke on how it is necessary to build inner strength for students.
With a sense of grief over the tragic loss, I highlighted the importance of institutions and families to support the children, and in no way victim shaming was done nor intended, even remotely.
The Union Labour Ministry has already assured a thorough investigation into the allegations of an exploitative work environment related to the tragic demise.
Day 10 @elastic search
Some popular adoption:-
.Uber power its riders and event prediction
. Netflix adopted Elastic Stack to provide customer insights to its internal team.
.Paypal uses @elastic search as a search engine
.eBay -full text searching
.GitHub,stack overflow etc.
Day-8 @elastic search
Elastic stack-> beats are data shippers which are installed in the application environment,while log-stash is a data processing pipeline (ETL).Both bring data to Elastic search which is going to be visualized in a further state.
Day-8 @elastic search
ELASTIC STACK->> elasticsearch is the core of the SearchEngine,and there are a handful of @elastic products to complement it.
The suite of products is called the Elastic Stack and includes Kibana, log-stash,beasts and elasticsearch.
Day8 @elastic search
ES is an open source, Full Text Search and analytics Engine,Developed in java,built on the popular full text library Apache Lucene, Lucene is the powerhouse of ES,and Kibana is the administrative UI to manage and work with ES(basically a visualization tool)
Day-7 @elastic search
Shay Banon,founder of ES, developed a search product Compass, it was based on an open source search engine library Apache Lucene which is built in java.
Because it's a library we need to import and integrate it with an application using its APIs
Day-6 @elastic search
Elastic search handles structured and unstructured data efficiently,and one of its key features is to store them in the same index.
It's because after inserting structure data inside ES,it will convert and stores in json format under the same index .
Day-6 @elastic search
The main usecase in today's world for ES over traditional databases is its capability to store and retrieve data in distributed environments and in such a way that gives relevant information to the user more quickly with its schema-less architecture.
Day-5 @elastic search
Elastic search stores data in a NoSQL (JSON) format, if you make a resemblance to the Relational database:
Document -->row in SQL
Fields--> columns in SQL
Index--> tables in SQL
When we store a document in an index it got stores along with meta data.
Day-4 @elastic search
The real power of ES is hidden in the flexibility and depth of its search functionality
We all know the better your data structure is, the better and faster you are able to query it ,also the ability to retrieve relevant information based on user query->ES✅
Day-3 @elastic search
The search engine uses relevance algorithms to determine which documents are closely related to the user’s query (that is,how relevant they are) and produces a positive number called a relevancy score,when you google something you find better results on top.