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The program focuses on AI-based approaches such as deep learning, LSTM, ARIMA, and machine learning techniques for analyzing time-dependent data. It covers methods for predicting trends, detecting anomalies, and applying real-time forecasting using AI.
To provide advanced skills in analyzing and forecasting time series data using AI techniques. This course will guide participants through AI-powered tools to model, predict, and optimize time series data for industries like finance, healthcare, and manufacturing.
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Professional Certification Program
Data scientists, AI engineers, financial analysts, and researchers working with time-dependent data.
Take your research to the next level with NanoSchool.
Get published in a prestigious open-access journal.
Become part of an elite research community.
Connect with global researchers and mentors.
Worth ₹20,000 / $1,000 in academic value.
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