DataHour: M in ML stands for Math & Magic
DataHour: M in ML stands for Math & Magic
03 Oct 202213:10pm - 03 Oct 202214:10pm
DataHour: M in ML stands for Math & Magic
About the Event
Two decades after the advent of ML and deep learning, it has become easier to do the same tasks that once were restricted to data scientists. We can observe in real life that ML has positively impacted and will continue to impact and modernize the world to make it better.
In this DataHour, Asapanna will teach you how a simple software engineer can do ML and produce >95% accuracy models.
Prerequisites:Understanding of Python programming and enthusiasm of learning Data Science.
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
Who is this DataHour for?
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
About the Speaker
Asapanna Rakesh is an applied research and software engineer specializing in machine learning and deep learning. He loves modeling intelligent systems, solving problems and building products that matter. Currently he is working as Applied Research & Software Engineer at GovAI and Sr. Research & Geospatial AI/3DML Engineer at GenesysIn the past he was a Lead engineer and Data scientist, Product-contributor for multiple startups and Core ML Engineer for India's largest geo-mapping company. He is also an Augmented reality developer for video-tech startup and Google AI machine learning facilitator. In 2019 he also mentored in Tensorflow. He is also a FOSS contributor for google flax, intel open3d-ml etc.
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