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sei k liked Divya Singh's blog post Business Analysis (BA) Career Path
Oct 21
Divya Singh posted a blog post

Business Analysis (BA) Career Path

More organizations are adopting data-driven and technology-focused approaches to business and hence the need for analytics expertise continues to grow. As a result, career opportunities in analytics are around every corner. Due to this identifying analytics talent has become a priority for companies in nearly every industry, from healthcare, finance, and telecommunications to retail, energy, and sports.In this blog, we will be talking about different career paths and option in the Business…See More
Oct 20
Divya Singh's blog post was featured

Business Analysis (BA) Career Path

More organizations are adopting data-driven and technology-focused approaches to business and hence the need for analytics expertise continues to grow. As a result, career opportunities in analytics are around every corner. Due to this identifying analytics talent has become a priority for companies in nearly every industry, from healthcare, finance, and telecommunications to retail, energy, and sports.In this blog, we will be talking about different career paths and option in the Business…See More
Oct 20
Divya Singh posted a blog post

Reinforcement Learning: Super Mario, AlphaGo and beyond

Most of the literature we find on machine learning talks about two types of learning techniques – supervised and unsupervised. Supervised learning is where we have a labelled dataset. This means we already have data from which to develop models using algorithms such as Linear Regression, Logistic Regression, and others. With this model, we can make further predictions like given data on housing prices, what will the cost of a house with a given set of features be. Unsupervised learning, on the…See More
Oct 11
Divya Singh's blog post was featured

Reinforcement Learning: Super Mario, AlphaGo and beyond

Most of the literature we find on machine learning talks about two types of learning techniques – supervised and unsupervised. Supervised learning is where we have a labelled dataset. This means we already have data from which to develop models using algorithms such as Linear Regression, Logistic Regression, and others. With this model, we can make further predictions like given data on housing prices, what will the cost of a house with a given set of features be. Unsupervised learning, on the…See More
Oct 11
Daniel Fernando García Rodríguez commented on Divya Singh's blog post Python Vs R : The Eternal Question for Data Scientists
"Atom's Hydrogen plug-in isn't alpha, I use it every day with Python 3.6 and R both managed with conda and hadn't had any issue. The post's author may have tried to use it with Python 3.7 with which is indeed buggy;…"
Oct 4
Konrad Bachusz liked Divya Singh's blog post Python Vs R : The Eternal Question for Data Scientists
Oct 4
Divya Singh posted a blog post

Python Vs R : The Eternal Question for Data Scientists

Python and R are the two most commonly used languages for data science today. They are both fully open source products and completely free to use and modify as required under the GNU public license.But which one is better? And, more importantly, which one should you learn? Both are widely used and are standard tools in the hands of every data scientist.The answer may surprise you – because as a professional data scientist, you should be ready to deal with both.Python has certain use cases and…See More
Oct 4
Divya Singh's blog post was featured

Python Vs R : The Eternal Question for Data Scientists

Python and R are the two most commonly used languages for data science today. They are both fully open source products and completely free to use and modify as required under the GNU public license.But which one is better? And, more importantly, which one should you learn? Both are widely used and are standard tools in the hands of every data scientist.The answer may surprise you – because as a professional data scientist, you should be ready to deal with both.Python has certain use cases and…See More
Oct 4
Mathu Bhalan G liked Divya Singh's blog post Data Science Glossary
Sep 24
Divya Singh posted a blog post

Data Science Glossary

There has been much hype surrounding deep learning and data science learning in recent times, and one of the cornerstones of deep learning is the neural network. In this article, we will look at what a neural network is and get familiar with the relevant terminologies.In simplest terms, a neural network is an interconnection of neurons. Now the question arises, what is a neuron? To understand neurons in deep learning, we first need to look at neurons from a biological perspective, from which…See More
Sep 21
Divya Singh's blog post was featured

Data Science Glossary

There has been much hype surrounding deep learning and data science learning in recent times, and one of the cornerstones of deep learning is the neural network. In this article, we will look at what a neural network is and get familiar with the relevant terminologies.In simplest terms, a neural network is an interconnection of neurons. Now the question arises, what is a neuron? To understand neurons in deep learning, we first need to look at neurons from a biological perspective, from which…See More
Sep 21

Profile Information

Short Bio
5+ years experience in Analytics & data science), has a keen interest in Problem Solving, Deriving insights & Improving the efficiency of processes with new age technologies.
Field of Expertise
Data Science, Machine Learning, Deep Learning
Professional Status
Consultant
Years of Experience:
5
Your Job Title:
Consultatant
How did you find out about DataScienceCentral?
Friends
Interests:
Contributing, Networking
What Other Analytical Website do you Recommend?
http://https://dimensionless.in/blog/

Divya Singh's Blog

ML Methods for Prediction and Personalization

Posted on November 20, 2018 at 8:30pm 0 Comments

Introduction

Recommender systems use algorithms to provide users with product or service recommendations. Recently, these systems have been using machine learning algorithms from the field of artificial intelligence. An increasing number of online companies are utilizing recommendation systems to increase user interaction and enrich shopping potential. Use cases of recommendation systems have been expanding rapidly. They across many aspects of…

Continue

Business Analysis (BA) Career Path

Posted on October 17, 2018 at 6:30am 0 Comments

More organizations are adopting data-driven and technology-focused approaches to business and hence the need for analytics expertise continues to grow. As a result, career opportunities in analytics are around every corner. Due to this identifying analytics talent has become a priority for companies in nearly every industry, from healthcare, finance, and telecommunications to retail, energy, and sports.

In this blog, we will be talking about different career paths and option in the…

Continue

Reinforcement Learning: Super Mario, AlphaGo and beyond

Posted on October 10, 2018 at 7:37am 0 Comments

Most of the literature we find on machine learning talks about two types of learning techniques – supervised and unsupervised. Supervised learning is where we have a labelled dataset. This means we already have data from which to develop models using algorithms such as Linear Regression, Logistic Regression, and others. With this model, we can make further predictions like given data on housing prices, what will the cost of a house with a given set of features…

Continue

Python Vs R : The Eternal Question for Data Scientists

Posted on October 2, 2018 at 6:15am 1 Comment

Python and R are the two most commonly used languages for data science today. They are both fully open source products and completely free to use and modify as required under the GNU public license.

But which one is better? And, more importantly, which one should you learn?

Both are widely used and are standard tools in the hands of every data scientist.

The answer may surprise you – because as a professional data scientist, you should be ready to deal with…

Continue

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