DataIdols
DataIdols
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Big Data needs more than just Data Scientists
Featuring Kenneth Hansen
Data scientists may be the cleverest and most expensive members of the analytics teams but the organisations that charge them with operational solutions overlook the distinct differences and tensions in the three fields of:
bigdata infiniteconf datascientist -
BigQuery and Cloud Machine Learning: advancing large-scale neural network predictions - Intermediate
Featuring Kaz Sato
The real value of BigQuery is not its speed. It's the power of "democratizing enterprise data." Because of BigQuery's scalability, you can isolate any workload on BigQuery from others. That means you can let non-engineers, such as sales, marketing, support and others, execute...
infiniteconf data deeplearning machinelearning dataanalytics datawarehouse -
Mapping London's Infrastructure
Featuring Dr Larissa Romualdo-Suzuki
To enter into the new era of smart cities design and planning cities, the Greater London Authority's team has developed the Infrastructure 2050 Application Mapping application to support decision making and improved coordination of infrastructure investments between all the stakeholders...
bigdata infiniteconf infrastructure -
Streaming Analytics with Apache Flink: Making data analytics more actionable - Beginners
Featuring Giuseppe d'Alessio
ING is using Apache Flink for creating streaming analytics ('fast data') solutions. A cross boarder team created a platform with Flink, Kafka and Cassandra that offers high-throughput and low-latency, ideally suited for complex and high demanding use cases in the international bank, such...
fastdata apache flink scala infiniteconf spark actionable-insights streaming-analytics -
A data layer in Clojure - Intermediate
Featuring Simon Belak
Clojure has always been good at manipulating data. With the release of spec and Onyx (“a masterless, cloud scale, fault tolerant, high performance distributed computation system”) good became best. In this talk Simon will walk you through a streaming data layer architecture build around Kafka and...
infiniteconf stream-processing data-engineering introspection bigdata -
Gaussian Processes for Big Data problems - Intermediate
Featuring Roberta Cretella
Gaussian Processes (GPs) underpin a range of algorithms for regression, classification and unsupervised learning. GPs are mathematically equivalent to many well known models, including Bayesian linear models, spline models, large neural networks (under suitable conditions), and are closely...
gaussian-process big-data bigdata infiniteconf -
Building open visualisations of UK Government Expenditure data - Beginners
Featuring May Yong
What if you could look at the source code behind any online visualization, understand how it works, run it to check the results using the latest data and modify the parameters to explore different aspects that you are interested in?
bigdata open-data visualisation programming tools infiniteconf -
Quantifying the Influence of Beautiful Environments on Human Wellbeing
Featuring Chanuki Illushka Seresinhe
Does spending time in beautiful settings boost people’s happiness? The answer to this question has long remained elusive due to a paucity of large-scale data on environmental aesthetics and individual happiness. Chanuki will explore two novel datasets: first, individual happiness data from the...
datascience machine-learning infiniteconf scenic-places deep-learning wellbeing urban-analytics -
Data Science in Engineering Applications - Intermediate
Featuring Karl Surmacz
Machine learning algorithms are a powerful tool for exploiting large data sets in order to model and predict complex system and human behaviour. In this talk Karl will share practical examples where data science techniques can be used to enhance engineering design and control engineering process....
infiniteconf datascience white-box black-box neural-networks -
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Capital One's journey to agile, open source data science
Featuring Dan Kellett and Sarah Pollicott
At Capital One they have always embraced the power of data driven decisions. The statistical modelling team was historically strong at building credit risk models using traditional regression techniques. With the increase in data and computing power coupled with a company move to Agile delivery...
agile infiniteconf datascience training recruitment