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Which of the followings is NOT correct about AI?

A system that acts like humans is not an AI system as it might generate wrong output.

Which statement is NOT correct about human neurons?

The output of neurons can be represented as a linear model

True or False: Deep learning is part of AI

True

True or False: Neural Network can be used as a supervised learning method

True

Is Stock value prediction an unsupervised learning process?

No

Which of the followings is NOT correct?

A neuron only takes one input and generates one output

Which of the following statement(s) correctly represent(s) a neuron?

A neuron can have a single input and a single output only

. A neuron can have multiple inputs but a single output only

A neuron can have a single input but multiple outputs

A neuron can have multiple inputs and multiple outputs

True or False: The larger the inputs are the better the learning process will be.

False

What is a neural network?

A mathematical model inspired by the structure and function of the brain

True or False: The gradient finds the new weights only based on the existing weights

False

True or False: If the inputs are large, the activation function gets very flat

True

What is the function of the activation function in a neural network?

To introduce non-linearity into the network

What is the primary goal of training a neural network?

To minimize the difference between the predicted and actual values on the training set

Which of the following is a common optimization algorithm used in neural network training?

Gradient Descent

What is backpropagation?

The process of updating the weights in the network during training

Which of the following is an example of unsupervised learning?

Clustering

Given the target output and actual output, which one of the following functions is the most common error function in neural networks?

(target – actual)^2

(Target - Actual)^2

(target-actual)^2

(Target-Actual)^2

Given the network outputs (0.4, 0.6, 0.2) and the target outputs of (0.3, 0.4, 0.1), what is to network error value, if we use the square difference as error function:

0.06

True or False: The squared of difference is a common error function in neural network, because the error function is smooth and continuous making gradient descent work well ‐ there are no gaps or abrupt jumps

True

If there is a neural network classifying hand written numbers (0, 1, 2, 3, 4, 5, 6, 7, 8, 9), how many output neurons will it have?

10

ten

Ten

For a neural network classifying images of 28 x 28 pixels, how many neurons should it have?

784

What is each run-through on a neural network called?

epoch

What is overfitting?

when the NN becomes too adjusted to the training set, causing error to be high on new data sets

If you have labeled data, would you want to use:

classification with supervised learning

If you have unlabled data, would you use:

clustering with unsupervised learning

Classification or Clustering: Credit Card Fraud Detection

Classification

Applications of AI in Finance

Algorithmic trading

Fraud Detection

Robo-advising

3 Main Areas of AI in Finance

Fraud detection and compliance, Banking chatbots and robo-advisory services, Algorithmic trading

What is Benfords Law

the principle that in any large, randomly produced set of natural numbers, most entries will begin with the digit 1, less begin with 2, and so on, with the smallest percentage beginning with 9

Triggers / Indicators for fraud

high amount transaction

many different locations in a short period of time

How does a NN learn

past experience (historical data)

What % of trades do computers make up?

50 - 70%

Benefits of Algorithmic Trading

High-Frequency Trading

types of algorithmic trading strategies

Signal processing

Market sentiment

News reader

Pattern recognition

True or False: Signal processing is the algorithmic trading method where a mathematical extension of a technical analysis based on the art of filtering is used to eliminate noise and discern trading patterns

True

T or F: the algorithmic trading strat "Pattern Recognition", the algorithm learns market psychology of supply and demand

False

What types of clinical activities are done to provide the data healthcare algorithms are trained on?

Screening

Diagnosis

Treatment assignment

Which is the most used application of AI in healthcare

Diagnostic Imaging

What is NLP (Natural Language Processing)

Extract information from unstructured data such as clinical notes/medical journals to supplement and enrich structured medical data

Commonly Used Deep Learning Algorithms in Medical Applications

Convolution neural network (CNN)

Recurrent neural network (RNN)

Deep belief network (DBN)

Deep neural network (DNN)

T of F: Convolutional neural network was first proposed and advocated for the high-dimensional image analysis

True

How accurate is the CNN on diagnosis and treatment selection

+90%

4 main components of each layer in CNN

Convolutional kernels defined by a width and height

number of input channels and output channels

depth of the convolution kernel/filter (equal the number channels of the input feature map.

hyperparameters of the convolution operation, like padding size and stride.

Two main components of NLP (natural language processing)

text processing

classification

a challenge of learning models in AI

can only see the world as a repetition of the past

Applications of AI in Education

Data-based Neural AI, Logic-based AI, Knowledge-based AI

Transfer learning consists of:

learning new tasks that rely on previously learned tasks

T or F Reinforcement Learning consists of amplifying behavior that leads to outcomes that are defined as positive

True

Deep Learning Techniques in Cybersecurity

Deep Belief Networks,

Recurrent Neural Network

Convolutional Neural Networks

Generative Adversarial Networks

Recursive Neural Networks

T or F: Deep belief networks are trained in a supervised manner

False

T or F: Recurrent neural network processes inputs one element at a time, using the output of the hidden units as additional input for the next element

True