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Data Science Festival Mainstage Day 2019

MainStage Day DSF 2019 – 2000 applications, 600 attendees, 40 speakers, 11 partners and an epic day of knowledge sharing in London. The post Data Science Festival Mainstage Day 2019 appeared first on Data Science Festival. Source: DataScienceFestival...

DSF Mainstage Day 2019 – Magda Piatkowska and Clara Higuera -BBC

Summary: Slow burning, ground breaking and blockbuster data applications at the BBC. Optimising demand and resources for data science, data engineering and analytics products in a large organisation. Data solutions is a growing team within BBC. We are using machine learning to solve strategic problems and serve our audience better. In this talk we would like to...

DSF Mainstage Day 2019 – Merve Alanyali – LV

Summary: A picture is worth a thousand words. But what does it say? An unprecedented amount of data is being generated on a daily basis. Automatic processing and analyses of these data sets therefore offer numerous benefits to decision makers in governmental and commercial arena. Due to the diverse nature of the information sources, data can come...

DSF Mainstage Day 2019 – Simon Greenman – Best Practise AI

Summary: Who’s Going to Make Money in AI and Machine Learning? We’re currently experiencing an AI gold rush. Billions are being invested. AI startups abound. Google, Amazon, and Microsoft are duking it out for AI supremacy. Corporations are scrambling to ensure they adopt AI ahead of their competitors while looking over their shoulder at startups. The question...

DSF Mainstage Day 2019 – Daniel Scott – Seams

Summary: Transforming the management of Natural and Built Assets through Analytics. Across the globe, £trillions are being spent each year on infrastructure to keep our lights on, our roads open and the water running from our taps. Despite this, it is estimated that the current level of investment worldwide may be almost £1 trillion short of what...

DSF Mainstage Day 2019 – Alex Combessie – Dataiku

Summary: The Making Of a Time Series Forecasting automated pipeline. The story of my 20%-side-project at Dataiku: how I designed and created a visual plugin for business users and data scientist to forecast time series automatically without code. A journey from understanding the literature of time series forecasting, packaging the latest open source methods in a single...

DSF Mainstage Day 2019 – Alex Dean – Snowplow Analytics

 Summary: Why high quality data is crucial for your machine learning models. It’s cliche, but garbage in truly means garbage out. In his talk Alex Dean, Co-Founder and CEO at Snowplow Analytics, will talk about how your data quality will make or break your machine learning models. He’ll dive into what quality data is (and what it’s...