data science
data science

The Data Science Project Playbook

By Matthew Coffman, High Alpha Given how frequently we hear or talk about machine learning and AI as emerging ways for startups to differentiate themselves, I’ve been working to identify baby steps that would allow startups to identify and create valuable data science projects on their own. I recently attended MLconf 2016, an event bringing together […]

UK Report Urges Action to Combat AI Bias, Ensure Diversity in Data Sets

The need for diverse development teams and truly representational data-sets to avoid biases being baked into AI algorithms is one of the core recommendations in a lengthy Lords committee report looking into the economic, ethical and social implications of artificial intelligence, and published today by the upper House of the UK parliament. “The main ways to address […]

IBM Attracting Developers With AI and Open Source ML Projects

Already a leader in the advancement of artificial intelligence, IBM has brought AI technology to developers with open arms. IBM recently launched a series of projects for developers to access open source code and services to build AI and machine learning applications. The vendor wants to democratize these technologies, so they can be easily accessed […]

AI Works With Fashion on Hybrid Design, Original Clothes from a Personal Stylist

On the website of online personal shopping service Stitch Fix, the company features a customer review that reads, “I love that my stylist listens to my feedback. The personal note included in my Fix shows how much pride she takes in serving each client.” Stitch Fix’s personal stylist is the best of its kind. Indeed, few stylists […]

Supervised Machine Learning – Insider Scoop for labeled data

Machine learning algorithms “learns” from the observations. When exposed to more observations, the algorithm improves its predictive performance. What’s going to happen to the stock market tomorrow? Is a task of deducing function from labeled training data.

The post Supervised Machine Learning – Insider Scoop for labeled data appeared first on Vinod Sharma’s Blog.

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Your Company’s Data Has Value; Here is How to Find It

Companies are amassing tremendous volumes of data, which they consider their greatest asset, or at least one of their greatest assets. Yet, few business leaders can articulate what their company’s data is worth. Successful data-driven digital natives understand the value of their data and their valuations depend on sound applications of that data. Increasingly venture […]

Algorithmic Bias is Real and Pervasive. Here’s How You Solve It.

By Robin Bordoli, CEO, CrowdFlower A few months back, I found myself in one of those big electronics stores that are rapidly becoming extinct. I don’t remember exactly why I was there, but I remember a very specific moment where a woman with a Chinese accent paced up to the cashier, plopped her home voice […]

The Exciting Evolution of Machine Learning

Machine learning is the process of a machine attempting to accomplish a task, independent of human intervention, more efficiently and more effectively with every passing attempt i.e learning phase. At this point, AI- a machine which mimics the human mind, is still a pipe dream. In the middle we have the meat of the pipeline, the model, which is the machine learning algorithm that learns to predict given input data.

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Set up Your Operations Tech and Data Science Teams for Success

No professionals are more important to the Industrial Internet of Things (IIoT) than data scientists. Data scientists are charged with taking vast amounts of raw industrial data, creating structure within that data, and ultimately finding valuable meaning. In other words, let’s dump a bunch of dirty data on these data scientists, tell them whatever we […]

Predictions of Innovations and Trends for Embedded Analytics for 2018

The embedded analytics market is growing at a rapid rate and will be worth $51.78 billion by 2022. Over the next few years, most organizations will begin to transform their traditional analytical techniques for analyzing business data to more advanced techniques using embedded analytics. If they don’t, they may risk getting left behind their competition. As soon […]