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About the Webinar
Duration
60 mins
Day
September 28, 2019
Time
11:00 am
Who is the Speaker?
Jahnavi Mahanta is a Senior Data Scientist in MathLogic. She has 13+ years of expertise in Data Analytics and Strategy along with knowledge of neural networks/deep learning, text classification, with a focus on NLP and working knowledge of Python programming. She also has hands-on experience in applying Artificial Intelligence concepts to business use-cases and implementing large scale & analytical projects.
Jahnavi Mahanta
Key Takeaways
- The conceptual basis of Deep Learning
- The difference between often-used words in Data Science e.g.
Machine Learning vs. Deep Learning - Understanding Deep learning through its evolution over the years
- Deep Dive into Neural Networks – the foundation of Deep Learning
Session Agenda
Deep learning is a rapidly changing area of work that has many different real-life applications. It has proved to be extremely successful in specifically solving complex problems in image recognition, natural language processing, and other areas. Any data science aspirant or practitioner eventually must get into deep learning as it is where the future is. However, there is a lot of hype around deep-learning to the extent that it is misunderstood in terms of its scope and impact.
Who Should Attend?
