set-7
301. ______ is a subfield of natural language processing (NLP), which involves transforming human language into a machine-readable format.
302. Automatic Ticket Routing, Machine Translation (MT), Automated Reasoning, Automatic Ticket Tagging & Reasoning, Question Answering etc. these are the examples of ______.
303. ______ produces natural written or spoken language from structured and unstructured data.
304. ______ is used for generating the responses of chatbots and voice assistants such as Amazon's Alexa, Google's Assistant and Apple's Siri.
305. Chatbots and "suggested text" features in email clients, such as Gmail's Smart Compose, are examples of applications that use both ______.
306. ______ are the NLG models and methodologies.
307. NLP is difficult because ______.
308. ______ is not the application of NLP.
309. ______ deals with How to design computers that can see (that is understand and interpret information in images/video).
310. In. ______ by, applying machine learning models to images, computers can classify objects and respond like unlocking your smartphone when it recognizes your face.
311. Consider the below image and answer the best solution. This figure is the complete process of ______.
312. Two key technologies drive ______: a convolutional neural network and deep learning, a type of machine learning.
313. A computer vision technique that relies on image templates is:
314. ______ is the use of devices for optical, non-contact sensing to receive and interpret an image of a real scene automatically, in order to obtain information and or control machines or processes.
315. ______ is a programmable machine that imitates the actions or appearance of an intelligent human.
316. To qualify as a ____, it should be able to do following works:
317. Following are the tasks that ____ can perform. Soldering wires to semiconductor chips, assembling cookies for Pepperidge, Painting cars at Ford plants, walking into live volcanoes, driving trains in Paris, flying to other planets to explore, Dive into deep water to recover things etc.
318. ______ is the study of robots, autonomous embodied systems interacting with the physical world.
319. ______ is the Robot control approaches in AI
320. ______ has the ability to learn without being explicitly programmed.
321. ML is field of AI, consisting of learning algorithms that
322. ______ plays an important role in improving and understanding the efficiency of human learning.
323. ______ is one of the forms of machine learning.
324. ______ is possible on the basis of memorization.
325. In ______ process, a general rule is induced by the system from a set of observed instances.
326. ______ deals with an idea of single-example learning.
327. ______ learning is more data-intensive, data-driven while ___ learning is more knowledge-intensive, knowledge-driven.
328. learning algorithms are trained using labeled data.
329. learning algorithms are trained using unlabeled data.
330. learning model takes direct feedback to check if it is predicting correct output or not.
331. learning model does not take any feedback.
332. While training the supervised model, data is usually split in the ratio of
333. ______ are the two types of Supervised learning.
334. ______ is a process of finding a function which helps in dividing the dataset into classes based on different parameters.
335. ______ is a process of finding the correlations between dependent and independent variables.
336. Consider the labelled dataset below. It is a dataset of a shopping store which is useful in predicting whether a customer will purchase a particular product under consideration or not based on his/her gender, age and salary.
User ID
Gender
Age
Salary
Purchased
337. Consider the labelled data set below. It is a Meteorological dataset which serves the purpose of predicting wind speed based on different parameters.
Temperature
Pressure
Relative Humidity
Wind Direction
Wind Speed
338. ______ is a rule-based ML technique which finds out some very useful relations between parameters of a large data set.
339. ______ deals with “how can I group these set of items?”
340. In ______, model keeps on increasing its performance using a Reward Feedback to learn the behavior or pattern
341. ______ is a machine learning training method based on rewarding desired behaviors and/or punishing undesired ones.
342. Consider an example, how a Robotic dog learns the movement of his arms is an example of ______.
343. Decision tree builds classification or regression models in the form of a ______.
344. ______ is one of the types of decision tree.
345. A ______ is a decision support tool that uses a tree like graph of decisions and their possible consequences, including chance event outcomes, resource costs, and utility.
346. ______ are the decision tree nodes.
347. ______ symbol is used to represent decision node in decision tree.
348. ______ symbol is used to represent chance node in decision tree.
349. ______ symbol is used to represent end nodes in decision tree.
350. ______ Simply calculates probability of each hypothesis, given data, and makes predictions based on this.
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