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satyajit maitra posted a blog post

Fine grained analysis of K- mean clustering and where we are using it

K-means is a centroid based algorithm that means points are grouped in a cluster according to the distance(mostly Euclidean) from centroid.Centroid-based ClusteringCentroid-based clustering organizes the data into non-hierarchical clusters, in contrast to hierarchical clustering defined below. k-means is the most widely-used centroid-based clustering algorithm.…See More
Jul 3, 2019
satyajit maitra's blog post was featured

Fine grained analysis of K- mean clustering and where we are using it

K-means is a centroid based algorithm that means points are grouped in a cluster according to the distance(mostly Euclidean) from centroid.Centroid-based ClusteringCentroid-based clustering organizes the data into non-hierarchical clusters, in contrast to hierarchical clustering defined below. k-means is the most widely-used centroid-based clustering algorithm.…See More
Jul 3, 2019
Alfredo Bernardis commented on satyajit maitra's blog post Understand Basic to Advanced Data Structures Used in R to use it Efficiently
"Sir: Under your name, you have copied literally all the texts, word by word from Advanced R by Hadley Wickham and you did`n credited the autor."
May 8, 2019
satyajit maitra commented on satyajit maitra's blog post Understand Basic to Advanced Data Structures Used in R to use it Efficiently
"dude he created R studio I am just spreading things that people needs to know before calling them data scientist .There is no comparison between him and me he is in top level of what he do."
May 6, 2019
Alfredo Bernardis commented on satyajit maitra's blog post Understand Basic to Advanced Data Structures Used in R to use it Efficiently
"I warn you that Hadley Wickham is copying your blog in "Advanced R""
May 6, 2019
satyajit maitra posted a blog post

Understand Basic to Advanced Data Structures Used in R to use it Efficiently

R studio Data structuresYou’ve probably used many (if not all) of them before, but you may not have thought deeply about how they are interrelated. In this brief overview, I’ll show you how they fit together as a whole. If you need more details, you can find them in R’s documentation.R’s base data structures can be organised by their dimensionality (1d, 2d, or nd) and whether they’re homogeneous (all contents must be…See More
May 5, 2019
satyajit maitra's blog post was featured

Understand Basic to Advanced Data Structures Used in R to use it Efficiently

R studio Data structuresYou’ve probably used many (if not all) of them before, but you may not have thought deeply about how they are interrelated. In this brief overview, I’ll show you how they fit together as a whole. If you need more details, you can find them in R’s documentation.R’s base data structures can be organised by their dimensionality (1d, 2d, or nd) and whether they’re homogeneous (all contents must be…See More
May 5, 2019
Tauheedul Ali liked satyajit maitra's blog post Why BigQuery is The Next Big Thing With Example
Apr 24, 2019

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data science consultant
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Data Science, Machine Learning, AI, Deep Learning, IoT
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Satyajit maitra's Blog

Fine grained analysis of K- mean clustering and where we are using it

Posted on July 1, 2019 at 6:30am 0 Comments

K-means is a centroid based algorithm that means points are grouped in a cluster according to the distance(mostly Euclidean) from centroid.

Centroid-based…

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Why BigQuery is The Next Big Thing With Example

Posted on March 22, 2019 at 3:49am 0 Comments

BigQuery is Google’s serverless, highly scalable, enterprise data warehouse designed to make all your data analysts productive at an unmatched price-performance. Because there is no infrastructure to manage, you can focus on analyzing data to find meaningful insights using familiar SQL without the need for a database administrator.

Analyze all your data by…

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