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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
Explain the difference between data mining and data analytics.
RELATED INTERVIEW QUESTIONS
How does the k-means clustering algorithm work and when should it be used?
What is the difference between a Data Lake and a Data Warehouse, and when would you use each in analytics?
Explain the role of backpropagation in training neural networks.
What are the common pitfalls when working with real-time data in analytics?
What is Data Analytics, and how is it used to make better business decisions? Explain its key techniques and applications with examples.
How would you perform data aggregation for summarizing large datasets?
What is the role of unsupervised learning in anomaly detection?
What is the role of data imputation in handling missing data?
How do you prevent model bias in machine learning algorithms?
How do you optimize the performance of an algorithm when the dataset size is enormous?
How would you measure the impact of an analytics model in a business setting?
What are gradient descent and its variants, and how are they used in machine learning?
What is the importance of hyperparameter tuning in machine learning models?
What is the difference between segmentation and clustering in data analytics?
What are support vector machines (SVM) and how do they classify data?
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