Determining the number of clusters when performing unsupervised clustering is a tricky problem. Many data sets don't exhibit well separated clusters, and two human beings asked to visually tell the number of clusters by looking at a chart, are likely to provide two different answers. Sometimes clusters overlap with each other, and large clusters contain sub-clusters, making a decision not easy.

For instance, how many clusters do you see in the picture below? What is the optimum number…

By Ajit Jaokar and Cheuk Ting Ho.

Exclusively for Data Science Central members, with free access. You can download this book (PDF) here. 

Introduction

Enterprise AI: An applications perspective takes a use case driven approach to understanding the deployment of AI in the Enterprise. Designed for strategists and…

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UPDATE

Hello all

we are now closing this 

we have been…

Note: This article was originally posted on OpenDataScience.com.

Witnessing the data science field’s meteoric rise in demand across pretty much all industries and areas of scientific research, it’s easy to anticipate efforts to create shortcuts to satisfy the need for more data science practitioners. The current trend…

Summary: Recurrent Neural Nets (RNNs) are at the core of the most common AI applications in use today but we are rapidly recognizing broad time series problem types where they don’t fit well.  Several alternatives are already in use and one that’s just been introduced, ODE net is a radical departure from our way of thinking about the solution.

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The last decade has seen unprecedented advancements in artificial intelligence. We have moved towards a data-centric approach, and data is the center of everything digital. The…

The EM algorithm finds maximum-likelihood estimates for model parameters when you have incomplete data. The "E-Step" finds probabilities for the assignment of data points, based on a set of hypothesized probability…

I was comparing home prices in San Francisco between 1994 and 2018, and I noticed that it has increased by a factor 4 over 25 years. In the meanwhile, the inflation index increased by a factor 1.7 (see here.) I am not saying here that my sources are correct or wrong -- entire books have been written on the subject -- but instead, my purpose here is to show how some visualizations can be…

A system is an entity that behaves based on the intrinsic characteristics of its components and the external forces that drive these elements to react as a result of their interaction with the environment.

When optimizing a system, three scenarios should be defined. The first is identifying all of its components, boundaries and the conditions acting upon it. The system intrinsically has a homeostatic point where it wants to exist and that may be not optimal for the…

What is Automated Machine Learning? Quite simply, it is the means by which your business can optimize resources, encourage collaboration and rapidly and dependably distribute data across the enterprise and use that data to predict, plan and achieve revenue goals.

With the right tools, today’s average business user can become a Citizen Data Scientist, using data integrated from various sources to learn, test theories and make decisions. AutoML comes into play as…

Here is our list of featured articles and technical resources posted since Monday. The picture is from the article flagged with a +.

Resources and Forum Questions

• EM Algorithm Explained in One Picture 
• How to…

Thanks to evolving technology, retail marketers nowadays have access to wide range of data and analytics tools, which is making everyone’s life easier. It gives businesses a chance to solve problems and provide excellent customer experience. 

The ability of machines to process data and perform tasks in a way that mimics human intelligence such as voice and visual recognition or decision making is opening many doors for online retailers, and brand owners look for ways to…

The blockchain is one of the hottest and fastest growing skills in the IT sector today. It is said that there are around 44% of organizations that have adopted blockchain globally. We all know that this technology has taken quite a turn in the industry given its popularity in providing safe and secured online transactions.

This technology is…

As of now, chatbots are among the most trending technology for which the industry is excited to get in integrated. They get touted as the next rendition of applications, similar to an immense change in the correspondence business. Since Facebook has extended access to its messenger administration, it is enabling firms to achieve clients better…

Summary:  The fourth and final AI strategy we’ll review is Systems of Intelligence (SOI).  This is getting nearly as much attention as the Vertical strategy we previously reviewed.  It’s appealing because it seems to offer the financial advantages of a Horizontal strategy but its ability to create a defensible moat requires some fine tuning.

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With a ROC curve, you're trying to find a good model that optimizes the trade off between the False Positive Rate (FPR) and…

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Featured Resources and Technical…