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In Neural Networks, the error of the network is fed back to network with the gradient of the cost function to update the weights, this is know as
AnsweredAdmin asked 5 years ago
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NoSQL, which stands for not only SQL, is an alternative to traditional relational databases in which data is placed in Tables, and data schema is carefully designed before the database in built. NoSQL databases are specially useful for working with large sets of distributed data. Which model does NoSQL reply on?
AnsweredAdmin asked 5 years ago
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FasTag is being adopted by vehicle owners across India. In a survey conducted at a toll booth, 3 out of 5 vehicles have FasTags installed. A random sample of 10 vehicles is observed. What is the probability that 6 will have FasTag installed?
AnsweredAdmin asked 5 years ago
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Presenting data in a pictorial form helps uncover Patterns and trends that would not be unveiled in the raw format. What is this technique known as
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Dot and cross product are two important operations in Vector Space. The dot product results in a scaler value. What is the results of a vector cross product?
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Deep Neural networks have penetrated our lives and affect the way we live in more than one way. Deep neural networks are applied in which of these
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Siri is an intelligent assistant that offers a faster, easier way to get things done on your Apple devices. Which bot is considered to be a precursor to Apple’s Siri?
AnsweredAdmin asked 5 years ago
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AI and Analytics is a very important constituent of the MFDM approach. To realize this new paradigm, organizations should re-imagine their technology ecosystems to accommodate the changes. The MFDM Framework constitutes three important constituents
AnsweredAdmin asked 5 years ago
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Multiple Metrics are used to measure the performance of a machine learning model. The commonly used metrics is/are?
AnsweredAdmin asked 5 years ago
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NoSQL is a non relational, distributed and horizontal scalable database. Unlike relational databases, a vast majority of NoSQL does not provide the guarantee of data consistency even though it is an important property. What type of consistency model would you suggest for a database which has frequent updates, modifications and deletions?
AnsweredAdmin asked 5 years ago
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Aggregation operations process data records and return computed results. Aggregation operations group values from multiple documents together, and can perform a variety of operations on the grouped data to return a single result. What aggregation operator of NoSQL is equivalent to WHERE is SQL?
AnsweredAdmin asked 5 years ago
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TCS has developed a digital merchandise suite that fuels sales by creating a personalized cross channel shopping experience for customers. It is a generation merchandising solution of TCS that helps retailers reinvent their business by embracing the evolving consumer, technology and market trends. Name the solution
AnsweredAdmin asked 5 years ago
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Supervised learning is the machine learning task of learning a function that maps an input to an output based on example input output pairs. It infers a function from labeled training data consisting of a set of training examples. In supervised learning finding the likelihood of feature belonging to a particular class can be grouped under what type of problem?
AnsweredAdmin asked 5 years ago
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The accuracy is simply how good your machine learning model is at predicting a correct class for a given observation. You build the model with training data and validate with the test data. What are the scenarios which have lower training accuracy as well as low test accuracy termed.
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The excessive and unnecessary use of graphical effects in graphs that are not necessary to comprehend the information but to distract the viewer’s attention is
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