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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

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

- 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

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- Consultant

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- 5

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- Contributing, Networking

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- http://https://dimensionless.in/blog/

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

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…

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

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…

ContinuePosted on September 20, 2018 at 4:00am 0 Comments 1 Like

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…

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