SHORT QUESTIONS
SHORT QUESTIONS
SHORT QUESTIONS
With machine learning, to perform any task, we need to design the right set of features and feed those features to the machine learning model. Feature engineering is a vital task for the success of any machine learning model. But it is hard to engineer the right set of features when dealing with unstructured data like text and images. In those cases, we can use deep learning.
With deep learning, we are not required to engineer the features since the deep neural network consists of several numbers of hidden layers. It implicitly learns and extracts the right set of features by itself. So, we don’t have to perform feature engineering by ourselves. Thus deep learning is widely used in the task where it is hard to perform feature engineering such as image recognition, text classification, and so on. Thus, in this way, deep learning differs from machine learning.
With deep learning, we are not required to engineer the features since the deep neural network consists of several numbers of hidden layers. It implicitly learns and extracts the right set of features by itself. So, we don’t have to perform feature engineering by ourselves. Thus deep learning is widely used in the task where it is hard to perform feature engineering such as image recognition, text classification, and so on. Thus, in this way, deep learning differs from machine learning.
The artificial neural network consists of one input, N number of hidden, and one output layer. When the artificial neural network consists of a large number of hidden layers then it is often called the deep neural network.
- Data Scientist Interview Questions can be used by any candidate who is preparing for Data Scientist Interview
- All candidates who have to appear for the IT Officer can also refer to this short questions answers section.
- You can also get access to the Data Scientist Interview ebook.
- Data Scientist Interview Questions can be used in the preparation of B.Sc (IT) , M. Sc (IT), BCA, MCA and various other exams.
- You can also download pdf for these Data Scientist Interview questions Answers.
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Technical Skills required in Data science Online Course:
- Python
- R
- SQL
- Deep Learning
- Neural Networks
- Tableau
- Machine Learning
- Computer Science
- Machine Learning
- Mathematical Analysis and Linear Algebra
- Statistics and Probability
- Communication
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Data Science Course Duration:
It depends on which course we are picking from the available. Data science online courses. We can choose a Data science program that covers some topics and get done with the course in a month or we can choose the online Data Science online classes which are taught by esteemed names in the industry. A master’s certification in Data Science or a diploma in Data Science. A PG Diploma can be completed within a course span of 6 months and a master’s certification requires 3–4 months for completion. Basic Data Science Interview Questions include an intermix of business analytics and visualization and the application of advanced analytics models for deep learning and artificial intelligence. Following Topics may be required for the preparation of Data Scientist Technical Interview-- Python (Core)
- Python for Data Science
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Basic Data Scientist Coding Interview Preparation
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