0 comments on “MachineX: Choosing Support Vector Machine over other classifiers”

MachineX: Choosing Support Vector Machine over other classifiers


When one has to select the best classifier from all the good options, often he would be on the horns of a dilemma. Decision tree/Random Forest, ANN, KNN, Logistic regression etc. are some options that often used for the choice…

0 comments on “MachineX: The second dimensionality reduction method”

MachineX: The second dimensionality reduction method


In the previous blog we have gone through how more data or to be precise more dimensions in the data creates different problems like overfitting in classification and regression algorithms. This is known as “curse of dimensionality”. Then we have gone…

1 comment on “MachineX: When data is a curse to learning”

MachineX: When data is a curse to learning


Data and learning are like best friends, perhaps learning is too dependent on data to be called as friends. When data overwhelms, learning acts pricey, so it feels more like a girlfriend-boyfriend sort of a relationship. Well don’t get confused…

1 comment on “The combat in Knoldus”

The combat in Knoldus


Virtue is a state of war, and to live in it we have always to combat with ourselves. - Jean-Jacques Rousseau Knoldus held a Hackathon like competition within the organization on 11th June 2017. It was simply named “code-combat”. Knoldus…

3 comments on “Artificial Neural Network”

Artificial Neural Network


Knoldus has organized a 30 min session on 09th June 2017 at 4:05 PM. The topic was Artificial Neural Network. Many people have joined and enjoyed the session. I am going to share the slides and Video here. Please let…

1 comment on “Learning the maths for Feed Forward Network”

Learning the maths for Feed Forward Network


In my last blog we were discussing about the biological motivation on the artificial neural network. This time we will discuss more about the artificial neural network in practice. In ANN we have different layers of networks to solve a…

0 comments on “When akka stream meets RabbitMQ”

When akka stream meets RabbitMQ


“Reactive Streams is an initiative to provide a standard for asynchronous stream processing with non-blocking back pressure.”  - that is how reactive streams are defined in wikipedia. There are two other implementation to reactive streams then Akka-streams i.e. reactor and Netflix’s…

3 comments on “First interaction Artificial Neural Network”

First interaction Artificial Neural Network


I hated biology in my school days and loved mathematics. After a long period of time I get to learn something which combines both mathematics and biology together, that is Artificial Neural Network short for ANN, inspired by biological Neural…

5 comments on “(Code Dissection) Akka Quartz Scheduler Scala’s way of scheduling(Part -2)”

(Code Dissection) Akka Quartz Scheduler Scala’s way of scheduling(Part -2)


I hope you guys are doing good, and had a fresh breath. Put your mask again if you find the previous topic smelly, as we are going to finish up the dissection for Akka Quartz Scheduler. I am going to…

3 comments on “(Code Dissection) Akka Quartz Scheduler – Scala’s way of scheduling”

(Code Dissection) Akka Quartz Scheduler – Scala’s way of scheduling


Alright fellas, put your mask on ! we are about to do a dissection of a scala library called Akka Quartz Scheduler. (Eww!@#$* does it stink?) Well not literally, lets find out what is it first, then according to your…