1. Managing available resources such as hardware, data, and personnel so that deadlines are met.2. Analyzing the ML and Deep Learning algorithms that could be used to solve a given problem and ranking them by their success probabilities.3. Exploring data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.4. Defining validation framework and establishing a process to ensure acceptable data quality criteria.
Managing available resources such as hardware, data, and personnel so that deadlines are met.Analyzing the ML and Deep Learning algorithms that could be used to solve a given problem and ranking them by their success probabilities.Exploring data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.Defining validation framework and establishing a process to ensure acceptable data quality criteria.Other Benefits:Pre-job Training with Experienced Trainers.Assignments & Case Studies provided during training.Mock sessions before interviewsMultiple interview rounds with different clients.Visa SponsorshipTraining completing certificates
