… that combines a deep learning approach with a sentiment analysis model for stock price
prediction. … This study builds a time series prediction model combining the sentiment factor and …

… comprehensive review and survey of all the supervised learning … theoretical issues and our
survey has been kept limited to the … One more point to be mentioned here that any study of …

… using real trading data based on deep neural network to predict stock price trend. We firstly
… Following is a brief introduction to the definition of the trend proposed in this study. Firstly, …

… risk for the financial sector people, Machine Learning (ML) … Machine learning and
Artificial Intelligence technologies have excelled in the highly volatile and random stock market…

… (Hoseinzade & Haratizadeh, CNNpred: CNN-based stock market prediction using a diverse
set of variables, 2019). This study utilizes the Relu to solve the vanishing gradient problem (…

… Earlier traditional methods were used but nowadays machine learning algorithms are
used … In this paper detailed study of malware detection techniques using machine learning …

… a regression model of historical stock data and to predict the trend of stocks [1]. … machine,
which can predict the stock value robustly [2]. This study improves the support vector machine …

… for big data analysis in the IoT healthcare sector. In this paper, we have presented a
comprehensive review on the application of machine learning techniques for big data analysis in the …

… In this paper, we offer a review on attack detection methods involving strength of deep
learning … related applications using deep learning structure. On the basis of categorization on …

… financial market motivated and compact theoretical treatment of financial modeling with machine
learning for … Machine learning can be simply viewed as the study and construction of an …