MACHINE LEARNING

MACHINE LEARNING

INTRODUCTION

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
To predict which customers are more likely to purchase BANCA, a machine learning needs historical data of customers who:
A
bought banca
B
declined to buy banca
C
both bought banca and who declined to buy banca
D
all customers of TCB
Explanation: 

Detailed explanation-1: -The most common type of machine learning is to learn the mapping Y = f(X) to make predictions of Y for new X. This is called predictive modeling or predictive analytics and our goal is to make the most accurate predictions possible.

Detailed explanation-2: -Which machine learning algorithm is best for stock price prediction? Based on experiments conducted in this article, LSTMs seem to be the best initial approach in solving the stock price prediction problem. Other methods can combine features extracted from LSTM or Bi-LSTM models and fed into a classical ANN regressor.

Detailed explanation-3: -Machine learning can adapt to changes quickly As the data set changes, machine learning will adapt its predictions accordingly. This ensures that the predictions are always accurate and up-to-date. Traditional methods, on the other hand, can become less accurate over time as the data set changes.

There is 1 question to complete.