Author Archives: Ajitesh Kumar

Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. For latest updates and blogs, follow us on Twitter. I would love to connect with you on Linkedin. Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking. Check out my other blog, Revive-n-Thrive.com

Productivity – Top 3 Javascript IDEs/Text Editors to Consider

This article represents the top 3 Javascript IDE/Text Editors that you may want to explore for your next project for Javascript related development. The way the top 3 editors are chosen is the number of votes (thumbs up) given by different users in one of the Javascript IDE/Text Editor related discussion thread on one of the very popular social bookmarking website, as of today. Interestingly, newer editors such as Brackets and Atom are catching attention of some of the users. Please feel free to comment/suggest if I missed to mention one or more important points. Also, sorry for the typos. Following are different Javascript Text Editors (at times, also called …

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Data Science – Examples of Machine Learning Problems

This article represents different classification of machine learning problems along with some of the examples taken from real world problems. Please feel free to comment/suggest if I missed to mention one or more important points. Also, sorry for the typos. Following is listed different categories which covers 80% of machine learning problems: Classification Clustering Regression   Machine Learning – Classification Problems Simply speaking, if the answer to problems consists of discrete values such as some of the following, the problem can be termed as classification problems. These are called as “Logistic Regression” problems. Yes or no,. e.g.,¬†1 or 0. Finite set of values representing multi-classification problems Mathematically speaking, if “h(x)” …

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Top 7 Data Science Subreddits to Follow

This article represents top subreddits related with Data Science on reddit.com that the Data Science aspirants or professionals could watch on regular basis for news, stories and discussions. Generally, I find reddit.com very useful to remain in touch with latest and interesting stories and keep myself up-to-date. For those unaware of what is subreddit, subreddit, simply speaking, represents the topic-based groups on reddit.com that comprise of users who want to publish/discuss news or stories related with that topic. For data science, there are multiple groups each focused on a single topic such as those mentioned below. Please feel free to comment/suggest if I missed to mention one or more important …

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Javascript Frameworks Job Pattern with IT Companies in India

This article represents my analysis on job patterns vis-a-vis javascript frameworks with IT companies in India. This may also be read as a pattern of adoption of JS frameworks by developers community with IT companies in India. The analysis has been done based on number of job openings related with below listed JS frameworks, posted last month e.g., octobar 2014, on one of the topmost job portal catering to Indian IT market. Please feel free to comment/suggest if I missed to mention one or more important points. Also, sorry for the typos. Following are top 7 javascript frameworks which are most seeked after skillsets in potential UI related candidates, from …

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Posted in Javascript, Web. Tagged with , , .

AngularJS – Top 6 Concepts That Developers Loved

This article represents top 6 popular AngularJS topics that has been used most by the AngularJS developer community till date. The inference is derived based on number of tagged discussions happening on Stackoverflow. Clearly, “Directive” is the winner and attracts most of them all. The article presents my thoughts on why these topics have been most popular. Please feel free to comment/suggest if I missed to mention one or more important points. Also, sorry for the typos. Following is the list of top 6 popular topics: Directives Scope Object Ng-repeat Angular UI & Bootstrap Routing Service   Following plot demonstrates the popularity of different feature/topics in relation with AngularJS.   …

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Data Science – Quick Start Guide for Machine Learning

machine learning

This article represents a very high-level information on different aspects of machine learning with an objective to present a quick-start read/guide for the data science beginners. One could grab one or more books on Machine Learning to learn the subject in detail. Please feel free to comment/suggest if I missed to mention one or more important points. Also, sorry for the typos. Following are the key points described later in this article: What is machine learning? Key phases of machine learning Prediction API model of machine learning   What is Machine Learning? Simply speaking, Machine Learning is a set of artifical intelligence techniques which are used to solve one of …

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Data Scraping – Top 5 Reasons for using Import.io Tool

This article represents my thoughts on why one would want to use this web data scraping tool, named as import.io. I must say that I am glad I found this tool for data scraping. Please feel free to comment/suggest if I missed to mention one or more important points. Also, sorry for the typos. Following are the key points described later in this article: Key aspects of Import.io Reasons Why One Must Try Import.io for their next Data Scraping Project Use-cases where Import.io scraping tool could be used   Key Aspects of Import.io Tool Import.io is a cloud-based web scraping tool which could act as a boon for those looking …

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Data Science – 8 Steps to Perform Regression Analysis using R

This article represents my thoughts on steps that may be required to perform regression analysis (linear or multiple) using R programming language, on a given data set where response variable is primarily a continuous variable. Remember that continuous variables are the ones which could take any numeric data unlike discreet variables which could take only limited set of data. Please feel free to comment/suggest if I missed to mention one or more important points. Also, sorry for the typos.   Following are the key steps described later in this article: Load the data Observe the data Clean the data Explore the data visually Fit the linear or multiple regression model …

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Data Science – Top 5 Videos to Learn Bayes’ Theorum

This article represents the top 5 videos that I thought to be great when I was trying to understand Bayes theorum from Youtube channels. Please feel free to comment/suggest if I missed to mention one or more important points. Also, sorry for the typos.   Following are top 5 videos that I found quite useful to understand Bayes theorum: Bayes’ Theorum Formula: This one, I liked most. Very short and sweet video which explains about Bayes theorum with a very nice example of economy and stock values in just 6 minutes. For beginners, I would recommend this to be first video to get started with Bayes theorum. Bayes Theorum with …

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Learn R – Hello World with R – Code Example

This article represents some of the basic concepts required to be understood to write Hello world using R programming language and, execute the same. Please feel free to comment/suggest if I missed to mention one or more important points. Also, sorry for the typos. Following are the key points described later in this article: Basic Concepts to Write Hello World Function in R Hello World – Code Example Basic Concepts to Write Hello World Function in R Following are some key points to pay attention at, while working Hello World example: R code is written as a set of one or more functions. In R, one could assign a function …

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Learn R – When to use Histogram, Scatterplot & Boxplot – Code Example

This article represents some facts on when to use what kind of plots with code example and plots, when working with R programming language. Please feel free to comment/suggest if I missed to mention one or more important points. Also, sorry for the typos. Following are the key plots described later in this article: Histogram Scatterplot Boxplot   Following is the description¬†for above mentioned plots along with code examples based on base R package. Note that each of the these plots could be done using different commands when using ggplot2 package. Histogram:Histograms is one of the best form of visualizations when working with single continuous variable. It plots the relative …

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Architecture – Top 10 Traits of a Software Architect

software architect

This article represents my opinion on top 10 traits of a software architect. Recently, I came across a need of my fellow colleague who asked me to take a shot at defining, what would it take for someone to become an architect. The below could be applied to architect in any technologies. Note that the below does not take into account few traits of an enterprise architect. However, I purposely did not include it. Please feel free to comment/suggest if I missed to mention one or more important points. Also, sorry for the typos.   Following are the top 10 traits described below: Knowledge of relevant technologies Should demonstrate strong …

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Posted in Architecture, Enterprise Architecture. Tagged with .

AngularJS – Hello World with Angular-Seed – Code Example

This article introduces Angular-Seed project for AngularJS beginners and, presents a code example along with instructions to get started with Angular-Seed project. Please feel free to comment/suggest if I missed to mention one or more important points. Also, sorry for the typos. Following are the key points described later in this article: What is Angular-Seed project? Pre-requisites for installing Angular Seed Project Install and Configure Angular-Seed Project Hello World – Code Example   If you are an AngularJS beginner or have started developing angular apps and, have been wondering about the standard folder structure layout to put your HTML, CSS and JS files, you would want to consider Angular-Seed project. …

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Data Science – 6 Steps to Perform Data Analysis using R

data analysis

This article represents steps that one could take to perform data analysis on available datasets using data science (machine learning algorithms) with the help of R programming language. The objective of this article is to introduce an approach for data science beginners to get started with data analysis. However, as you get experience you could adopt your own techniques that works for you. These are just my thoughts and there could be better way of approaching data analysis. Please feel free to comment/suggest if I missed to mention one or more important points. Also, sorry for the typos. Following are the key steps which could be taken as a blueprint …

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Big Data – Team to Hire for Big Data Practice

big data team

This article represents thoughts on Big data team composition and different considerations to make in order to hire and build an effective Big Data team. Please feel free to comment/suggest if I missed to mention one or more important points. Also, sorry for the typos. A Big data team would need to cover following two key areas for becoming an effective team ready to deliver on key Big Data initiatives. Data engineering Data science   Data Engineering Team You would want to build a team who plays key role in some of the following areas: Data processing (Hadoop Map/Reduce) Data storage (HDFS/HBase) Data coordination (Zookeeper) Data monitoring/management For above skills, …

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Big Data – Functional & Technology Architecture for Beginners

This article represents a view associating functional and technology elements of Big Data reference architecture. The objective of this article is to present a view relating key functional areas in Big Data with relevant technologies. The diagram and related description could be of use to Big Data beginners (developers, architects, business analysts etc) wanting to get a high-level view on functional and technology aspect of Big Data. Please feel free to comment/suggest if I missed to mention one or more important points. Also, sorry for the typos. Following diagram represents the functional and technology landscape view of Big Data. The objective of the diagram below is following: Associate functional areas …

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