M1

Question 1

[ ] is about extracting knowledge from data.

Answer 1

Machine Learning

Question 2

It is a research field at the intersection of statistics, AI, and computer science.

Answer 2

Machine Learning

Question 3

Machine Learning is a field of study concerned with giving computers [ ].

Answer 3

the ability to learn without being explicitly programmed

Question 4

[ ] is a study of learning algorithms.

Answer 4

Machine Learning

Question 5

A computer program is said to learn from [ ] with respect to some class of [ ] and [ ].

Answer 5

Experience E, Tasks T, Performance Measure P

Question 6

Machine Learning Steps:
[ ] -> [ ] -> [ ]

Answer 6

Data ( E ) -> Learning Algo ( T ) ->Basic Understanding ( P )

Question 7

Collection, preparation, and analysis of data.

Answer 7

Data Science

Question 8

Leverages AI/ML research, industry expertise, and statistics to make business decisions.

Answer 8

Data Science

Question 9

Technology for machines to understand/interpret, learn, and make ‘intelligent’ decisions.

Answer 9

Artificial Intelligence

Question 10

Includes ML among many other fields.

Answer 10

Artificial Intelligence

Question 11

Algorithms that help machines improve through supervised, unsupervised, and reinforcement learning.

Answer 11

Machine Learning

Question 12

Subset of AI and Data Science tool

Answer 12

Machine Learning

Question 13

ML Algo or Traditional Rule Based Algo?
Explicit programming is used to solve problems.

Answer 13

Traditional Rule Based Algo

Question 14

ML Algo or Traditional Rule Based Algo?
Rules can be manually specified.

Answer 14

Traditional Rule Based Algo

Question 15

ML Algo or Traditional Rule Based Algo?
Samples are used for training.

Answer 15

Machine Learning Algo

Question 16

ML Algo or Traditional Rule Based Algo?
The decision-making rules are complex or difficult to describe.

Answer 16

Machine Learning Algo

Question 17

ML Algo or Traditional Rule Based Algo?
Rules are automatically learned by machines.

Answer 17

Machine Learning Algo

Question 18

This enables computers to operate autonomously without explicit programming.

Answer 18

Machine Learning

Question 19

ML algo adaptively improves with an increase in the number of available samples during [ ].

Answer 19

the ‘learning’ process

Question 20

What are the types of Machine Learning?

Answer 20

(SML-UML-SSL-RL)
- Supervised ML
- Unsupervised ML
- Semi-Supervised Learning
- Reinforced Learning

Question 21

[ ] is a collection of data used in ML tasks.

Answer 21

Dataset

Question 22

Each data record is called a [ ].

Answer 22

Sample

Question 23

Events or attributes that reflect the performance or nature of a sample in a particular aspect are [ ].

Answer 23

Features

Question 24

[ ] is a data set used in the training process, where each sample is referred to as a training sample.

Answer 24

Training set

Question 25

The process of creating a model from data is called [ ].

Answer 25

learning/training

Question 26

[ ] refers to the process of using the model obtained after learning for prediction.

Answer 26

Testing | uses test set and test samples

Question 27

What is the Machine Learning Workflow?

Answer 27

(PDMD) - Project Setup - Data Preparation - Modeling - Deployment

Question 28

Top Programming Languages for ML:

Answer 28

(PRJJSC++JsLHG) - Python - R - Java - Julia - Scala - C++ - JavaScript - Lisp - Haskell - Go

Question 29

Why Python for DS?

Answer 29

- Easy to Read - Extensive Libraries and Frameworks - Strong Community Support - Flexibility - Compatibility with Other Languages - Scalability and Performance

Question 30

Top 10 Python Libraries:

Answer 30

(PMTSciScrNSKPySQL) - Pandas - Matplotlib - Tensorflow - SciPy - Scrapy - NumPy - SeaBorn - Keras - PyTorch - SQLModel

Question 31

It is a very popular tool and the most prominent Python library for ML.

Answer 31

Scikit-learn

Question 32

It is one of the fundamental packages for scientific computing.

Answer 32

NumPy

Question 33

It is a collection of functions for scientific computing.

Answer 33

SciPy

Question 34

It is the primary scientific plotting library.

Answer 34

Matplotlib

Question 35

It is a library for data wrangling and analysis.

Answer 35

Pandas

Question 36

A Python distribution made for large-scale data processing, predictive analysis, and scientific computing.

Answer 36

Anaconda

Question 37

It is an interactive environment for running code in the browser.

Answer 37

Jupyter Notebook

Question 38

What are the applications of Machine Learning?

Answer 38

(MHEcAIT) - Manufacturing - Healthcare - E-commerce - Automobile - Insurance - Transportation

Question 39

[ ] is an observation that seems to be distant from other observations or, more specifically, one observation that follows a different logic or generative process than the other observations.

Answer 39

Outlier