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Micron Technology
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I applied via Referral and was interviewed before Oct 2023. There was 1 interview round.
Adaboost is a machine learning algorithm that combines multiple weak learners to create a strong learner.
Adaboost stands for Adaptive Boosting.
It works by adjusting the weights of incorrectly classified instances so that subsequent weak learners focus more on them.
The final prediction is made by combining the predictions of all the weak learners, weighted by their accuracy.
Example: Adaboost is commonly used in face det
Printing a binary tree in different orders
Use inorder traversal to print the binary tree in ascending order
Use preorder traversal to print the binary tree in root-left-right order
Use postorder traversal to print the binary tree in left-right-root order
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I applied via Referral and was interviewed before Aug 2023. There were 2 interview rounds.
AMAT is a leading provider of semiconductor manufacturing equipment and services.
AMAT is known for its cutting-edge technology and innovation in the semiconductor industry.
I appreciate AMAT's commitment to research and development, constantly pushing the boundaries of what is possible.
The company has a strong global presence and a track record of delivering high-quality products and services.
AMAT's focus on sustainabil...
I enjoy working in a collaborative environment where I can use my analytical skills to solve complex problems.
I thrive in environments where I can work with a team to brainstorm ideas and solutions.
I appreciate opportunities to use data analysis techniques to uncover insights and drive decision-making.
I value a work culture that encourages continuous learning and professional growth.
I find satisfaction in overcoming ch...
I applied via Referral and was interviewed before May 2023. There were 3 interview rounds.
Decision tree is a predictive modeling tool that uses a tree-like graph of decisions and their possible consequences.
Decision tree splits data into subsets based on the value of a certain attribute
It recursively divides data into smaller subsets until a stopping criterion is met
Each internal node represents a decision based on an attribute, and each leaf node represents the outcome
Pressure generally increases with temperature due to the kinetic energy of gas molecules.
Pressure is directly proportional to temperature in a closed system (Boyle's Law).
As temperature increases, gas molecules move faster and collide with the container walls more frequently, increasing pressure.
For example, a balloon inflated indoors may burst when taken outside on a hot day due to increased pressure from higher tempe
I applied via LinkedIn and was interviewed in Jul 2024. There were 2 interview rounds.
Developed a machine learning model to predict customer churn for a telecom company
Used historical customer data to train the model
Implemented various classification algorithms such as logistic regression, random forest, and XGBoost
Evaluated model performance using metrics like accuracy, precision, recall, and F1 score
I applied via Company Website and was interviewed before Jul 2023. There were 3 interview rounds.
Binary tree question was asked
I applied via Referral and was interviewed in Nov 2023. There was 1 interview round.
I applied via Campus Placement and was interviewed in Jul 2024. There were 2 interview rounds.
Few standard dsa questions were asked.
Projects are specific tasks or assignments that require a set of skills and resources to achieve a particular goal or outcome.
Projects involve defining objectives and deliverables
They require planning, execution, and monitoring
Projects often have timelines and budgets
Examples: Data analysis project to identify customer trends, Project to implement a new software system
I am a data analyst with a strong background in statistics and data visualization.
I have a Bachelor's degree in Statistics from XYZ University.
I have 3 years of experience working as a data analyst at ABC Company.
Proficient in using tools like Excel, SQL, and Tableau for data analysis.
I have experience in creating reports and dashboards to present data insights to stakeholders.
I appeared for an interview in Aug 2017.
I lack experience in a specific technology required for the role.
I may not have experience with a specific programming language or framework mentioned in the job description.
I may not have worked on projects similar to what your company is working on.
I may not have experience with certain tools or technologies that are crucial for the role.
posted on 7 May 2017
I appeared for an interview in Feb 2017.
malloc is a function in C that dynamically allocates memory on the heap. It is used to allocate memory for variables or data structures.
malloc is used in C programming language.
It is used to allocate memory on the heap.
malloc is different from 'new' in C++ as it does not call constructors for objects.
C++ is a general-purpose programming language while Objective C is a superset of C used for iOS and macOS development.
C++ is widely used for developing applications, games, and system software.
Objective C is mainly used for iOS and macOS development.
C++ supports both procedural and object-oriented programming paradigms.
Objective C is an object-oriented language with dynamic runtime features.
C++ has a larger community a...
Class container is a class that holds objects of other classes, while class composition is a way to combine multiple classes to create a new class.
Class container holds objects of other classes, acting as a collection or container.
Class composition combines multiple classes to create a new class with its own behavior and attributes.
In class container, the objects are typically stored in a data structure like an array o...
Divide the horses into groups of 5 and race them. Take the top 2 from each race and race them again. Finally, race the top 2 horses to determine the top 3.
Divide the horses into 3 groups of 5 and race them.
Take the top 2 horses from each race and race them again.
Finally, race the top 2 horses to determine the top 3.
Developing a real-time data processing system for a high-traffic e-commerce website
Implemented a distributed system architecture to handle large volumes of data
Optimized algorithms for efficient data processing and storage
Utilized caching mechanisms to improve system performance
Worked closely with cross-functional teams to troubleshoot and resolve issues
Example: Successfully reduced data processing time by 50% by imple
Seeking new challenges and opportunities for growth.
Looking for a more challenging role to further develop my skills
Interested in exploring new technologies and industries
Seeking better career advancement opportunities
Want to work in a more collaborative team environment
The width of a tree is the maximum number of nodes at any level in the tree.
To calculate the width of a tree, we can perform a level order traversal and keep track of the maximum number of nodes at any level.
We can use a queue data structure to perform the level order traversal.
At each level, we count the number of nodes in the queue and update the maximum width if necessary.
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