i
Blue Yonder
Filter interviews by
I was interviewed in Aug 2024.
Back propagation is a technique used in neural networks to update the weights of the network by calculating the gradient of the loss function with respect to the weights.
Back propagation involves calculating the error at the output layer and then propagating it back through the network to update the weights using gradient descent.
It uses the chain rule of calculus to calculate the gradient of the loss function with res...
Batch normalization is a technique used in machine learning to improve the training of deep neural networks by normalizing the input of each layer.
Batch normalization normalizes the input of each layer by adjusting and scaling the activations.
It helps in reducing internal covariate shift, which leads to faster convergence during training.
Batch normalization also acts as a regularizer, reducing the need for other regula...
Transformer architecture is a type of deep learning model that uses self-attention mechanism to process sequential data.
Utilizes self-attention mechanism to weigh the importance of different input elements
Consists of encoder and decoder layers for processing input and generating output
Introduced in the paper 'Attention is All You Need' by Vaswani et al. in 2017
Back propagation over time is a method used in recurrent neural networks to update weights by propagating errors backwards through time.
Back propagation through time (BPTT) is an extension of the backpropagation algorithm for recurrent neural networks.
It involves unfolding the network over time and calculating gradients for each time step.
The gradients are then used to update the weights of the network to minimize the ...
I applied via Campus Placement and was interviewed in Nov 2024. There were 3 interview rounds.
Time and work,speed , logical reasoning
I have 3 years of experience developing mobile apps for both iOS and Android platforms.
Developed mobile apps using Swift for iOS and Java/Kotlin for Android
Experience with mobile app design principles and user interface development
Worked on integrating APIs and third-party libraries for enhanced functionality
Random Forest is a machine learning model that uses multiple decision trees to make predictions.
Random Forest is an ensemble learning method that combines multiple decision trees to improve accuracy and reduce overfitting.
Each decision tree in the Random Forest is trained on a random subset of the data and features.
The final prediction is made by averaging the predictions of all the individual trees in the forest.
Rando...
Blue Yonder interview questions for popular designations
Get interview-ready with Top Blue Yonder Interview Questions
I was interviewed in Sep 2024.
Microservices architecture is an architectural style that structures an application as a collection of loosely coupled services.
Each service is self-contained and can be developed, deployed, and scaled independently.
Services communicate with each other over lightweight protocols like HTTP or messaging queues.
Microservices allow for better scalability, flexibility, and resilience compared to monolithic architectures.
Exa...
I am a highly skilled Technical Consultant with a proven track record of successfully implementing complex solutions for clients.
Highlight key technical skills and experience
Mention specific projects or achievements
Emphasize problem-solving abilities and client satisfaction
Listen to their perspectives, encourage open communication, find common ground, and work towards a compromise.
Encourage open communication to understand each employee's perspective
Listen actively and show empathy towards their opinions
Find common ground and areas of agreement to build upon
Work towards a compromise that addresses the concerns of all parties involved
I applied via Campus Placement
Moderate level coding que leetcode type...
I applied via Naukri.com and was interviewed in Aug 2024. There were 2 interview rounds.
Calculate the similar strings in a list
Batch normalization is a technique used to improve the training of deep neural networks by normalizing the input of each layer.
Batch normalization normalizes the input of each layer by adjusting and scaling the activations.
It helps in reducing internal covariate shift, making training faster and more stable.
Batch normalization is applied to mini-batches of data during training.
Layer normalization is similar to batch no...
Symmetry trees in Catboost are used to improve the model's performance by exploiting the symmetry of categorical features.
Symmetry trees are a type of decision tree used in Catboost to handle categorical features.
They exploit the symmetry of categorical features to improve the model's performance.
Symmetry trees help in reducing overfitting and improving generalization.
They are particularly useful when dealing with high...
Top trending discussions
The duration of Blue Yonder interview process can vary, but typically it takes about less than 2 weeks to complete.
based on 61 interviews
Interview experience
based on 533 reviews
Rating in categories
Senior Software Engineer
364
salaries
| ₹0 L/yr - ₹0 L/yr |
Technical Consultant
261
salaries
| ₹0 L/yr - ₹0 L/yr |
Software Engineer
232
salaries
| ₹0 L/yr - ₹0 L/yr |
Senior Technical Consultant
191
salaries
| ₹0 L/yr - ₹0 L/yr |
Senior Business Consultant
178
salaries
| ₹0 L/yr - ₹0 L/yr |
SAP
Manhattan Associates
Oracle
Infor Global Solution