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Artificial Intelligence certification course has a teaching duration of 80 hours and has been designed for professionals with an aptitude for statistics and a background in a programming language such as Python, R, etc. ai course in ecil and Deep Learning training help students in building AI applications, understanding Neural Network Architectures, structuring algorithms for new AI machines and minimizing errors through advanced optimization techniques. GPUs and TPUs will be used on cloud platforms such as Google Colab to run Google AI algorithms alongside running Neural Network algorithms on-premise GPU machines.

Explore the various stages of the Data Science Life cycle in the trajectory of this data science training in ecil .Initially conceptualize Data preparation, Data Cleansing, Exploratory Data Analysis and Data Mining (Supervised and Unsupervised). Progressively learn the theory behind Feature Engineering, Feature Extraction and Feature Selection. Perform Predictive modelling using regression analysis. Build Machine Learning, Deep Learning and Neural Network algorithms with Python and R



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