lesson 1-3

Question 1

is the machine-displayed
intelligence that simulates human behavior or thinking and can be
trained to solve specific problems. ____ is a combination of Machine
Learning techniques and Deep Learning.

Answer 1

Artificial Intelligence (AI)

Question 2

Here is the list of the top 14 application of AI (Artificial Intelligence):

Answer 2

1. AI Application in E-Commerce
2. Applications Of Artificial Intelligence in Education
3. Applications of Artificial Intelligence in Lifestyle
4. Applications of Artificial intelligence in Navigation
5. Applications of Artificial Intelligence in Robotics
6. Applications of Artificial Intelligence in Human Resource
7. Applications of Artificial Intelligence in Healthcare
8. Applications of Artificial Intelligence in Agriculture
9. Applications of Artificial Intelligence in Gaming
10. Applications of Artificial Intelligence in Automobiles
11. Applications of Artificial Intelligence in Social Media
12. Applications of Artificial Intelligence in Marketing
13. Applications of Artificial Intelligence in Chatbots
14. Applications of Artificial Intelligence in Finance

Question 3

Artificial Intelligence advantages

Answer 3

1) Reduction in Human Error
2) Takes risks instead of Humans
3) Available 24/7
4) Helping in Repetitive Jobs
5) Digital Assistance
6) Faster Decisions
7) Daily Applications
8) New Inventions

Question 4

Artificial Intelligence disadvantages

Answer 4

1) High Costs of Creation
2) Making Humans Lazy
3) Unemployment
4) No Emotions
5) Lacking Out of Box Thinking

Question 5

work by combining large sets of data with intelligent, iterative processing

algorithms to learn from patterns and features in the data that they analyze.

Answer 5

AI systems

Question 6

What Disciplines Make Up the Field of AI?

Answer 6

Machine Learning
Deep Learning
Neural Networks
Cognitive Computing
Natural Language Processing
Computer Vision

Question 7

A specific application of AI that lets computer systems, programs, or applications learn
automatically and develop better results based on experience,

Answer 7

Machine Learning

Question 8

• A specific type of machine learning that allows AI to learn and improve by processing data.

Answer 8

Deep Learning

Question 9

A process that analyzes data sets over and over again to find associations and interpret
meaning from undefined data.

Answer 9

Neural Networks

Question 10

Another important component of AI systems designed to imitate the interactions
between humans and machines, allowing computer models to mimic the way that a human brain works
when performing a complex task, like analyzing text, speech, or images.

Answer 10

Cognitive Computing

Question 11

• A critical piece of the AI process since it allows computers to recognize,
  analyze, interpret, and truly understand human language, either written or spoken.

Answer 11

Natural Language Processing -

Question 12

One of the prolific uses of AI technologies is the ability to review and interpret the
content of an image via pattern recognition and deep learning.

Answer 12

Computer Vision

Question 13

What Technology Does AI Require?

Answer 13

Larger, More Accessible Data Sets
Graphical Processing Units
Intelligent Data Processing
Application Programming Interfaces

Question 14

2 types of machine model:

Answer 14

1. Supervised Machine Learning
2. Unsupervised Machine Learning

Question 15

happens when a
machine learning model has
become too attuned to the data
on which it was trained and
therefore loses its applicability to
any other dataset.

Answer 15

OVER-FITTING

Question 16

In geometry, a _________ is a subspace
whose dimension is one less than that of its
ambient space. ______ are decision
boundaries that help classify the data points.
Data points falling on either side of the
__________ can be attributed to different
classes.

Answer 16

HYPERPLANE

Question 17

uses a training set to teach models to
yield the desired output.

Answer 17

Supervised machine learning

Question 18

is a sub-category under Supervised Learning which
uses an algorithm to accurately assign test data into specific
categories.

Answer 18

Classification

Question 19

_____ is a technique for investigating the relationship between independent
variables or features and a dependent variable or outcome. It’s used as a
method for predictive modelling in machine learning,

Answer 19

Regression

Question 20

5 Common Classification

Algorithms

Answer 20

1. Logistic Regression
2. Naive Bayes
3. K-Nearest Neighbors
4. Decision Tree
5. Support Vector Machines

Question 21

5 Common Methods to
Increase Model’s Accuracy

Answer 21

1. Handling Missing Values & Outliers
2. Feature Engineering
3. Feature Selection
4. Try Multiple Algorithms
5. Adjusting Hyperparameters