Currently, Deep Learning & Neural Networks provide the best solutions to many image recognition, speech recognition, and natural language processing issues.
Deep Learning is one of the hottest topics in the tech domain these days. Large businesses, as well as young startups, are all gold-rushing this fancy field. If you believe big data is essential, deep learning should be a matter of concern to you.
You should understand that deep learning is the secret recipe behind many interesting innovations, making many of our wildest dreams come true, and maybe even nightmares. This is the reason why every aspiring Data Scientist should have an in-depth knowledge of Deep Learning & Neural Networks.
To cater to the needs of aspiring Data Scientists & to provide them with detailed information on Deep Learning, we recently conducted a webinar on Introduction to Deep Learning & Neural Networks.
To lead the webinar with us, we had Jahnavi Mahanta, Senior Data Scientist, MathLogic. She has 13+ years of expertise in Data Analytics & Strategy along with the knowledge of Neural Networks/Deep Learning, text classification, with a focus on NLP & working knowledge of Python programming.
Key Takeaways
1. The conceptual basis of Deep Learning
2. The difference between often-used words in Data Science e.g. Machine Learning vs. Deep Learning
3. Understanding Deep learning through its evolution over the years
4. Deep Dive into Neural Networks – the foundation of Deep Learning
These were some of the highlights of the session. To get in-depth details of “Introduction to Deep Learning & Neural Network”, access the webinar recording.
Are you inspired by the opportunity of Data Science? Start your journey by attending our upcoming orientation session on Data Science for Career & Business Growth. It’s online and Free :).
