EMERGING TRENDS IN COMPUTING
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
|
Recognizing Anomalies
|
|
|
Prediction
|
|
|
Generating Patterns
|
|
|
Recognition Patterns
|
Detailed explanation-1: -What are the best machine learning algorithms for stock price predictions? The best machine learning algorithm for predicting stock prices are random forest, Naive Bayesian classifier, Support vector machine, K-nearest neighbor, and ARIMA.
Detailed explanation-2: -Stock Price Prediction using machine learning helps you discover the future value of company stock and other financial assets traded on an exchange. The entire idea of predicting stock prices is to gain significant profits.
Detailed explanation-3: -Utilizing a Keras LSTM model to forecast stock trends At the same time, these models don’t need to reach high levels of accuracy because even 60% accuracy can deliver solid returns. One method for predicting stock prices is using a long short-term memory neural network (LSTM) for times series forecasting.
Detailed explanation-4: -Stock market algorithms are computer programs that can perform market filtering, analytics, and trade executions in the stock market. They can be as simple as bracket orders or extrapolated a thousand times over with a million lines of code.