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Complex deep nets perform best when parallel processing is used it can be either shared memory or distributed computing. What are the Shared memory option available to train a deep net called?
AnsweredAdmin asked 4 years ago
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Gradient descent is an optimization algorithm used to minimize some function by iteratively moving in the direction of steepest descent as defined by the negative of the gradient. In machine learning, we use gradient descent to update the parameters of our model. The learning rate controls how quickly the model is adapted to the problem. What does lowering learning rate in gradient descent lead to?
AnsweredAdmin asked 4 years ago
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The various types of noSQL databases are Key Value Store, Document based store, column based store and Graph based. MongoDB is a very popular nosql database. Mongo DB can be categorized as what type of nosql db?
AnsweredAdmin asked 4 years ago
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Chatbots are the new UI. They date back to 1960’s. ELIZA is believed to be the first chat-bot ever to be programmed. Who created ELIZA?
AnsweredAdmin asked 4 years ago
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In Vector space, standard basis for a Euclidean space is the set of unit vectors pointing in the direction of the axes of a Cartesian coordinate system. What is the length of Unit basis vector?
AnsweredAdmin asked 4 years ago
1689 views1 answers-1 votes
What are charts that are suitably adopted while analyzing a trend over a period of time?
AnsweredAdmin asked 4 years ago
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The weights of candidates selected for a training camp is normally distributed with a mean weight of 160 pounds, and standard deviation of 8 pounds. What is the probability that a randomly selected member from the camp has weight greater than 170 pounds?
AnsweredAdmin asked 4 years ago • 
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In these types of artificial neural networks, connections between nodes form a directed graph along a temporal sequence. The output of the hidden layer is sent again to the hidden layer for the previous time stamps, this type of a construct is prevalent in Recurrent Neural Networks.
AnsweredAdmin asked 4 years ago • 
1362 views1 answers1 votes
MFDM is a new paradigm in terms of adoption by various organizations. This approach goes through various levels of maturity. Each level helps organizations in their digital transformation journey. Which among the following options is not the phase of execution model that ensure successful delivery using the Machine First approach
AnsweredAdmin asked 4 years ago • 
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These have a rare chance of occurrence in a data set. These are a subset of data objects that collectively deviate from the entire data set. What are these entities known as?
AnsweredAdmin asked 4 years ago • 
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Which of these chart types aid in calculating the inter-quartile range directly from a graph?
AnsweredAdmin asked 4 years ago • 
1204 views1 answers-2 votes
Logistic regression is a statistical model that in its basic form uses a specific type of function to model a binary dependent variable, although many more complex extensions exist. What is this specific type of function called?
AnsweredAdmin asked 4 years ago • 
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In supervised learning, a set of input variables are mapped to one or more output variables. What is the significance of the cost function in this mapping process?
AnsweredAdmin asked 4 years ago • 
1411 views1 answers-1 votes
This is free and open source software library for data flow and differentiable programming across a range of tasks developed by Google Inc. It is a symbolic math library, and is also used for machine learning applications such as neural networks. Name the Library
AnsweredAdmin asked 4 years ago • 
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Machines are getting ubiquitous, and TCS is propagating its Machine First Approach to all its customers. This new paradigm will revolutionize the way we engage with our customers. The Machine First approach allows technology the first right of refusal to______
AnsweredAdmin asked 4 years ago • 
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