The eighth edition of The Fifth Elephant will be held in Bangalore on 25 and 26 July. A thousand data scientists, ML engineers, data engineers and analysts will gather at the NIMHANS Convention Centre in Bangalore to discuss:
- Model management, including data cleaning, instrumentation and productionizing data science.
- Bad data and case studies of failure in building data products.
- Identifying and handling fraud + data security at scale
- Applications of data science in agriculture, media and marketing, supply chain, geo-location, SaaS and e-commerce.
- Feature engineering and ML platforms.
- What it takes to create data-driven cultures in organizations of different scales.
1. Meet Peter Wang, co-founder of Anaconda Inc, and learn about why data privacy is the first step towards robust data management; the journey of building Anaconda; and Anaconda in enterprise.
2. Talk to the Fulfillment and Supply Group (FSG) team from Flipkart, and learn about their work with platform engineering where ground truths are the source of data.
3. Attend tutorials on Deep Learning with RedisAI; TransmorgifyAI, Salesforce’s open source AutoML.
4. Discuss interesting problems to solve with data science in agriculture, SaaS perspective on multi-tenancy in Machine Learning (with the Freshworks team), bias in intent classification and recommendations.
5. Meet data science, data engineering and product teams from sponsoring companies to understand how they are handling data and leveraging intelligence from data to solve interesting problems.
Why you should attend?
- Network with peers and practitioners from the data ecosystem
- Share approaches to solving expensive problems such as cleanliness of training data, model management and versioning data
- Demo your ideas in the demo session
- Join Birds of Feather (BOF) sessions to have productive discussions on focussed topics. Or, start your own Birds of Feather (BOF) session.
Full schedule published here: https://hasgeek.com/fifthelephant/2019/schedule
For more information about The Fifth Elephant, sponsorships, or any other information call +91-7676332020 or email firstname.lastname@example.org
JSFoo:VueDay 2019 sponsors:
Building a personalized learning system using a concept graph, and latest research in cognitive science
Session type: Tutorial
I have been actively learning new things (beyond what was required for my formal education) since I was a teenager. A few things I have learned in this time are: mathematics, engineering, economics, philosophy, public speaking, a dozen or so musical instruments, a dozen or so programming languages). But the list of things I am yet to learn is not getting any shorter. I realized that I had to get better at learning itself, and started reading about research from cognitive science. I started exploring mathematics with my toddler which forced me to think deeply about how we learn and how we can get better at it.
After almost a decade of doing this, I started building a personalized system for learning anything in the optimal manner. This involves ideas like spaced repetition systems, chunking, meta-cognition. This system heavily relies on data (in particular, links to good pedagogical content) and the relationships between them (i.e. taxonomy & concept graph). I incorporated ideas from psychology (gamification, learning styles) and data science (summarization, recommendation) so that this knowledge discovery platform allows you to understand any topic through most efficient paths.
In this talk, I will explain the architecture of this personalized learning platform.
- My journey
- History of learning systems
- Learning how to learn: Research in cognitive science:
- Spaced repetition systems
- Growth Mindset
- Focused vs Diffused modes
- No speed limit
- Learning styles
- Building a concept graph
- Curating pedagogical resources
- What you already know?
- How much time do you have?
- Data science:
I have been learning things deeply and making things for almost 15 years now. I completed dozens of hard MOOCs in mathematics, computer science, economics, psychology etc. I have used this knowledge to build useful things - be it music, apps, electronic/robotic appliances (like automatic portable roti making machine) or DIY-furniture. I have also been exploring mathematics with my 5-year old child, which forced me to think deeply about how people learn and how we can get better at it.