Machine Learning & Apache Spark Introduction & Case Study
Machine Learning & Apache Spark - Introduction and case study
This event will cover the different aspects and technologies that connect the pieces to make a complete system and how to build one that ingests streams of data from multiple devices, performing the most appropriate processing in each stage.
You do not need to be an expert in any of the technologies used: at the end of this talk you will walk away with a good understanding of the challenges of implementing similar systems.
We'll be live streaming!
If you like to come along to this event, please register above. If you won't be able to make it to Skills Matter CodeNode, and would like to join remotely: We'll be live streaming this event so you can watch it from your desk. If you like that, you can sign up for IBM's live streaming session here.
Wendy Devolder
Skills Matter is a community of technology creators and adopters, coming together to learn and share the latest technologies, insights, experience and skills. We help engineering teams gain insights and skills through engagement with our uniquely experienced and influential community of engineers who provide a competitive edge to thousands of tech-driven businesses in Finance, Media, Retail and Technology.
I believe that technology teams are the economic multipliers in any global business today. To meet complex and fast changing business needs, technology teams need to stay current with an ever expanding universe of technologies. I founded Skills Matter to support technology teams in meeting this challenge. Since, we have been pioneering new ways to support our members in the learning and sharing of ever evolving technologies, practices, skills, ideas and experience, brought together on our continuous learner platform, online and offline and every day.
Jan Machacek will talk about the Muvr exercise analysis project
Jan will cover:
Muvr exercise analysis project:
- the code that runs on the wearables
- the signal processing, sensor data fusion and classification on the mobile
- the server-side code that ingests the classified data
- Spark code that performs deeper analysis and learning
Data that the team has collected (under the sweat of the brow in the gym), and the insights one might make from the data
Outline the experimental & research areas that the Muvr team wants to cover in the near future—for example physiotherapy, injury prevention & detection
Jan Machacek
Jan Machacek is a passionate technologist with hands-on experience of the practical aspects of software delivery (architecture, quality, CI, CD), the project management approaches (applying the principles of agile project management), and mentoring and motivating engineering & business teams.
Spark and IBM SystemML
Nikolay will cover:
IBM’s commitment to Spark and how IBM is working with the community to enhance Spark
IBM SystemML – a breakthrough technology aimed to advance machine learning at the core of the Apache Spark project
Common problems encountered by data scientists when they roll out machine learning algorithms into production
How SystemML can transparently contribute to shorter development times and increased algorithm performance
Nikolay Manchev
Nikolay has over 10 years of database experience and has been involved in large scale migration, consolidation, and data warehouse deployment projects in the UK and abroad. He is a speaker, blogger, author of numerous articles and a book on advanced database topics. For the last three years Nikolay has been working exclusively in the big data (Hadoop) space with focus on Spark and machine learning. He has an M.Sc. in Software Technologies and is working towards an M.Sc. in Data Science.
Thank you to our sponsors and partners
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Attending Members
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@hatzl
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@dgm_doug
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@slimerdude
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@tkropiewnicki
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@stephenn
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and others will be coming!
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