Online Algorithm Machine Learning : The Studies
We found these Online Algorithm Machine Learning studies are good for additional resources.
Machine learning for data analysis
A study about machine learning algorithms has reviewed different types of algorithms and their respective benefits and drawbacks. The reader is given a broad overview about these various types of algorithms in order to make intelligent decisions when it comes to natural data analysis.
learns to predict stock prices using machine learning
A journal about how a machine learning algorithm produces a final result is valuable because it offers insights into how we can improve our algorithms in the future. This paper describes a research project that was undertaken to optimize a machine learning algorithm used to predict stock prices. This study found that by increasing the number of Articles submitted, we were able to increase the quality of our articles by 50%.
The Robust Accuracy of Machine Learning onText Data
An article about machine learning showed that machine learning achieves remarkable gains in accuracy and efficiency when used on data sets with standard feature extraction techniques. Using a novel greedy algorithms, the study found that it is possible to extract high-quality features from complex text data with impressive accuracy.
Passive-Aggressive Algorithms for Maximum Profit
A paper about online passive-aggressive algorithms has been presented. The algorithms were designed to maximize user satisfaction with their products. They are Passive-Aggressive Algorithms, which means that the algorithmerWheel is always trying to optimize the profit margin of its business.
Iterative Kalman Filter for Model Training in Image Recognition and Robotic LA
A journal about phylogeny and evolution of machines has recently been gaining attention from the AI and machine learning communities. They have shown that there are many ways in which machines can evolve, and that these evolutionary algorithms can be used to model complex phenomena. This study is about a algorithm called Iterative Kalman Filter (IKF), which has been developed for model training in image recognition and robotic LA. In this paper, we will describe the IKF algorithm and its features, including its performance on several challenging datasets.
Learning Machine Learning Algorithms for Accuracy and Precision
A study about machine learning methods was conducted in the Journal of Machine Learning Research. The study found that common machine learning algorithms yielded higher accuracy rates than those used in traditional data analysis models. This is significant because data analysis is often the key to successful machine learning applications.
Large Data Classification with Automated Machine Learning
An article about supervised machine learning algorithms for classifying and analyzing big data has been conducted. The study found that some of the most commonly used machine learning algorithms are effective in achieving this objective. The study found that different types of data can be Classified with different degrees of accuracy using these algorithms.
Different Machine Learning Algorithms Result in Better Predictions for Different Students
A study about online courses using machine learning algorithms has been carried out by Mallikharjuna Rao and K. Kiran Kumar, at Chalapathi Institution of Technology, Find Reply. In this study, machine learning algorithms were used to predict student performance in online courses using three different types of models. The results showed that the use of different machine learning algorithms led to better predictions for different students.
An Overview of Auditor General's Office Audit of AI and Machine Learning Algorithms
A journal about how auditor general's office audits AI and machine learning algorithms reveals that there is limited guidance exists for public auditors who are interested in this type of activity. This white paper provides a comprehensive overview of the various aspects of auditor general's office audits of AI and machine learning algorithms.
How to Avoid over Interpretation in Machine Learning Identifying Rectal Cancer
A review about the decision tree algorithm used to identify over-interpretation and misuse of machine learning in identi-fying rectal cancer was conducted. The study found that a decision tree approach was useful for identifying over- Interpretation of the data led to incorrect conclusions.
