Enrollments closing soon for Post Graduate Certificate Program in AI & Machine Learning By E&ICT IIT Roorkee | 3 Seats Left
Login using Social Account
Login using your credentials
Taking you to the next exercise in seconds...
Stay here Next Exercise
Want to create exercises like this yourself? Click here.
Error
Go Back to the Course
1 Natural Language Processing - Introduction to Classical NLP
2 MCQ - Alan Turing published an article titled "Computing Machinery and Intelligence" in the year
3 MCQ - The NLP Layer translates users’ queries (free form) into information that can be used for appropriate responses.
4 MCQ - Which of the following are NLP tools?
5 Natural Language Processing - Creating a Quiz using Text Blob
6 Natural Language Processing - Finding Related Posts using scikit-learn
7 MCQ - Bag of Words Approach ignores order of words, and uses word counts as their basis.
8 MCQ - Vectorization is the step where for each word in the post, its occurrence is counted and noted in a vector.
9 MCQ - Tf-IDF weight is often used in Information retrieval and Text mining
10 MCQ - DialogFlow is an advanced development suite for creating conversational AI applications, including chatbots, voicebots, and IVR bots from Google.
11 Natural Language Processing - Introduction to Modern NLP - Part I
12 Natural Language Processing - Introduction to Modern NLP - Part II
13 Natural Language Processing - Sentiment Analysis
14 MCQ - Char-RNN predicts the next character in a sentence.
15 MCQ - Stateful RNN preserve final state after processing one training batch, and then use it as initial state for next training batch
16 MCQ - The pretrained model components of the TensorFlow Hub project are called
17 Natural Language Processing - Machine Translation
18 MCQ - The TensorFlow Addons project includes many sequence-to-sequence tools to let you easily build production-ready Encoder–Decoders
19 Natural Language Processing - Bi-directional RNN and Beam Search
20 Natural Language Processing - Attention Mechanisms
21 MCQ - Dzmitry Bahdanau et al. introduced a technique that allowed the decoder to focus on the appropriate words (as encoded by the encoder) at each time step in the year
22 MCQ - The Bahdanau attention mechanism is also known as
23 MCQ - Positional embedding generates embeddings using cos and tan functions which allows the model to learn the relative positions of words
Loading comments...