While the field of data science is not tied directly to Big Data, advances in one tends to produce advances in the other. Big Data increases our ability to harvest and process data, while data science allows us to dig into it for insights.
Dimensionality reduction as means of feature extraction Feature extraction is a very broad and essential area of data science. It’s goal is to take out salient and informative features from input data, so that they can be used further in predictive algorithms. Modern data scientists observe large amounts of data,
Every business knows that their data, from customer demographics and buying behavior to production insights, holds tremendous value. But, historically, most have considered only its internal worth—the insight it provides to improve operational efficiency, deliver a better customer experience, enhance products and services or save money. But now, a new perspective on data
2015 was a good year for data science. A cursory glance at any tech jobs board reveals the sheer breadth of companies looking for data science expertise. Technical terms such as machine learning are slowly entering the public consciousness. Many people still don’t realise how much data science touches their
As companies of all types and sizes from around the world come to realize the many benefits they stand to gain from big data analytics, the more they’re willing to adopt the tools necessary to make it all happen. They’re also learning for themselves what the best practices are for effectively utilizing big
Re-identifying the roles in the Data Science Industry Data Science is a growing field, that goes without saying. Businesses are taking a data driven approach to maximize understanding, output and results within their industry, gaining a competitive advantage. Although, the end goal for all companies is more or less the
Awesome new start-ups are popping up every day and it’s easy to overlook even the coolest, most cutting edge developers—especially when they’re not based in Silicon Valley. Amazing, unexpected projects are popping up all over Europe, and that’s why we’re going to look at some of those newer, local start-ups
Thomas is Data Science Lead at Quantopian Inc which is a crowd-sourced hedge fund and algotrading platform. Thomas is a cool guy and came to give a great talk in Luxembourg last year – which I found so fascinating that I decided to learn some PyMC3 Follow Peadar’s series of
Ian is an Entrepreneurial Geek, 30-late-ish, living in London (after 10 years in Brighton and a year in Latin America). Ian is the owner of an Artificial Intelligence consultancy and author of ‘The Artificial Intelligence Cookbook’which teaches you how to add clever algorithms to your software to make it smarter!
Along with talks from our 50+ industry leaders and experts, we’ll be hosting 4 intensive workshops over the course of the two days. We’ve just released details for the first two sessions on the 19th: An Introduction to Lean Analytics – Presented by Alistair Croll, Founder at Solve For Interesting, Author of
Data Natives is coming soon! The conference focuses on three key areas of innovation: Big Data, IoT and FinTech. The intersection of these fields is home to the most exciting technology innovation happening today. Whether it’s for individual consumers or multi-billion dollar industries, the opportunity is immense. Come and learn