Posts Tagged

Machine Learning

Machine Learning

Stumbling through overwhelming aisles of wines, it can be daunting to find the perfect match to that asparagus-heavy dish. There are pairing tables, books and websites filled with descriptions and ratings, but they aren’t quite an exact science. Seeking out and buying a wine, only to realize you’ve gone the

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Artificial IntelligenceData ScienceMachine Learning

In the future imagined by science fiction, artificial intelligence will reign supreme and take over pretty much everything humans can do. Frankly this sci-fi vision isn’t helpful when it comes to applying technology because it distracts us from thinking about what people do well and what advanced techniques such as

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Machine Learning

Deep Learning is one of the key parts of data science. As data becomes increasingly important and accessible, today’s biggest companies are rapidly investing in deep learning. In fact, it is considered to be so vital to future technologies that many are sharing their own results and discoveries with the

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Data Science 101Machine Learning

Looking for the perfect podcast for your morning commute or during your downtime? Here’s a list of the best podcasts in data (in alphabetic order). Data Skeptic Unusual Angles Data Skeptic takes a different take on how we review data—thanks to some healthy skepticism, listeners come out with unusual information and knowledge.

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Machine LearningMarketing & Sales

A few months ago, Airbnb ran a great post about how its trust and safety data scientists build machine learning models to protect users from fraud by predicting bad actors. As the piece illustrated using Game of Thrones, a highly nuanced model is required to determine something like whether someone

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Big DataConversationsMachine Learning

I completed a PhD in signal processing at Cambridge developing models of user behaviour using brain data. After the PhD I joined Skimlinks as a data scientist, where I model online user behaviour and work on much larger datasets. My main role is implementing large-scale machine learning models processing terabytes

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Conversations

Alice is an expert on building scalable Machine Learning models and currently works for Dato who are a company providing tooling to help you build scalable machine learning models easily. She is also a keen advocate of encouraging women in Machine Learning and Computer Science. Alice has a PhD from UC

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ConversationsMachine Learning

Rosaria has been a researcher in applications of Data Mining and Machine Learning for over a decade. Application fields include biomedical systems and data analysis, financial time series (including risk analysis), and automatic speech processing. She is currently based in Zurich, Switzerland.   What project have you worked on do you

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Artificial IntelligenceBig DataMachine LearningTransportation & Logistics

Within the rail industry, anything which helps keep trains moving, avoiding operational delays and improves customer experience, is worth pursuing. Many OEMs are now investing significant resources into one of the most valuable and potentially rewarding currencies in business: Big Data. In rail, and specifically when it comes to rolling

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ConversationsMachine Learning

Jeff Palmucci has been writing code professionally since he was 11 years old. A serial entrepreneur, Jeff has started several companies. He was a Founder and the VP of Software Development for Optimax Systems, a developer of scheduling systems for manufacturing operations. Optimax was acquired by i2 Technologies where he

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