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Stochastic Gradient Descent is an optimization algorithm used to minimize the cost function in machine learning by updating parameters iteratively.
SGD is a variant of Gradient Descent that updates the model's parameters using a single training example at a time.
It is computationally efficient and is commonly used in large-scale machine learning tasks.
SGD is suitable for online learning and can handle large datasets eff...
To improve SGD, consider adjusting learning rate, using momentum, implementing learning rate schedules, and adding regularization techniques.
Adjust learning rate: Experiment with different learning rates to find the optimal value for faster convergence.
Use momentum: Incorporate momentum to accelerate SGD in the relevant direction and dampen oscillations.
Implement learning rate schedules: Decay the learning rate over ti...
I applied via Campus Placement and was interviewed in Apr 2022. There were 4 interview rounds.
Easy to Medium level questions the time duration for the test was 45 minutes and number of questions were 30
Easy to Medium 3 question 2 were easy and one was a medium level question the topics were brute force , greedy I had completed 2 questions
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posted on 6 Oct 2022
I applied via Referral and was interviewed before Oct 2021. There were 3 interview rounds.
CFA and DFA are Change-Tracking and Database-First Approaches in Entity Framework Core.
CFA (Change-Tracking Approach) is used to track changes made to entities in memory and then save them to the database.
DFA (Database-First Approach) is used to generate entity classes and DbContext from an existing database schema.
CFA is useful when working with disconnected entities, while DFA is useful when working with an existing ...
posted on 19 Jul 2022
I applied via Recruitment Consulltant and was interviewed in Jan 2022. There were 2 interview rounds.
Hackerrank test in Java and Angular
I applied via Walk-in and was interviewed in Nov 2022. There were 3 interview rounds.
Some number of the questions needed to attempt in a time
I applied via Campus Placement and was interviewed before Jun 2020. There were 3 interview rounds.
I applied via Referral and was interviewed before Oct 2019. There was 1 interview round.
I applied via Campus Placement and was interviewed before Aug 2020. There were 4 interview rounds.
The latest embedded systems are focused on IoT, AI, and machine learning.
Embedded systems are becoming more connected to the internet of things (IoT)
AI and machine learning are being integrated into embedded systems for improved performance
Low-power consumption and high-performance processors are being developed for embedded systems
Examples include Amazon Echo, Nest Thermostat, and Fitbit
I was interviewed before May 2020.
I am a highly motivated individual with a passion for learning and a strong work ethic.
I have a Bachelor's degree in Computer Science from XYZ University.
I have completed several internships in software development, including one at ABC Company where I worked on a team to develop a mobile app.
I am proficient in several programming languages, including Java, Python, and C++.
I am a quick learner and enjoy taking on new c...
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