Author: Anuj Saxena

MachineX: Logistic Regression with KSAI

Logistic Regression, a predictive analysis, is mostly used with binary variables for classification and can be extended to use with multiple classes as results also. We have already studied the algorithm in deep with this blog. Today we will be using KSAI library to build our logistic regression model. Setup

Running Spark on DC/OS

Devops engineers for long needed an open source tool to make it easy to deploy the code developed through all the ups and downs to reach this far and is considerably more capable of evolving (pun intended). As we all know in this world of agile we need to shift our requirements after a short duration of time. Be it addition of a feature or tweaking Continue Reading

KnolX: Machine Learning with Artificial Neural Networks

Hi all, Knoldus has organized a 30 min session on 8th December 2017 at 4:15 PM. The topic was Machine Learning with Artificial Neural Networks. Many people have joined and enjoyed the session. I am going to share the slides here. Please let me know if you have any question related to linked slides.   Machine Learning with Artificial Neural Networks from Knoldus Inc. Here’s the video of the Continue Reading

What is Deep Learning??

This term “Deep Learning”, is on fire for past two decades. Every machine learning enthusiast wants to work on it and many big companies are already making an impact on Data Science field by exploring it e.g. Google Brain project from Google or DeepFace from Facebook. The reason is simple, experts say and I quote “for most flavors of the old generations of learning algorithms … performance will Continue Reading

Spark Streaming: Unit Testing DStreams

Frankly, I don’t think there’s any need of telling us, “The Developers”, the need for proper testing or Unit testing to be correct(QAs, Don’t be flattered :P). The unit test cases are the quickest way to know there’s something wrong with our code. “Unit testing is important because it is one of the earliest testing efforts performed on the code and the earlier defects are detected, the easier Continue Reading

Artificial Intelligence vs Machine Learning vs Deep Learning

The world as we know it is moving towards machines big time. But we can not fully utilize the working of any machine without a lot of human interaction. So in order to do that, we needed some kind of intelligence for the machines. Here comes the place for Artificial Intelligence. It is the concept of machines being smart to carry out numerous tasks without Continue Reading

Machine Learning with Random Forests

Machines, working on our commands, for each step, they need guidance where to go what to do. This pattern is like a child who doesn’t understand the surrounding facts to make decisions for a situation. The grown ups usually do it for children. Same goes for machines. The developer writes the commands for the machine to be executed. But here in Machine Learning, we talk about Continue Reading

Machine Learning with Decision Trees: Implementation

Smile is a machine learning library based on JAVA and provides Scala API too although most of the classes it uses are implemented in JAVA. To know more about smile please go through this introductory blog. Here in this blog, we will implement decision tree using Smile library. To know more about the decision trees you can check out this blog Quickstart  To use smile the Continue Reading

Kafka Streams: Unit Testing

Kafka Streams is a powerful API. In Kafka, we can only store our data for consumers to consume. But we always needed a processor with which we can process the data without going to an external tool like Spark, Storm etc. To know more about this and for a quick start you can check out the first blog of this series. The Need Now here Continue Reading

Kafka Streams : More Than Just a Dumb Storage

Whenever we hear the word Kafka, all we think about it as a messaging system with a publisher-subscriber model that we use for our streaming applications as a source and a sink. So we can say that Kafka is just a dumb storage system that stores the data provided by a producer for a long time (configurable) and it can provide it to some consumer whenever Continue Reading

Lagom: Getting to Know

JUST THE RIGHT AMOUNT Lagom- [lah-gome], a swedish word meaning ‘Sufficient’ or ‘Just the right amount’. The meaning of the name ‘Microservice’ is misunderstood by a majority of people. Taking it litrelly Micro = very small i.e. very small service is not the underlying meaning or agenda of creating Microservices. The real theme here does not revolves around the ‘size’ criteria. What really matters here is the Continue Reading

Self type Annotations in Cake Pattern

Self type annotations/references allows you to redefine this and is a way to declare the dependencies required by a component. Using a trait mixin, you can inject various implementations of dependencies In layman terms, Self type annotations/references are to ensure that the class can not be instantiated without mixing in the trait explicitly specified in the notation and its members can be used in the Continue Reading

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