Latest Topics in Machine Learning for Thesis

Machine learning, a subset of Artificial Intelligence (AI), is a wide-ranging field of research, with numerous topics in it. This domain provides an extremely interesting topic to form a thesis. At present, Machine Learning gains a lot of interest in the research field. This domain has numerous kinds of topics related to diverse sectors as ML is utilized in the healthcare, education, and defense sector. Here, we suggest some latest and trending topics on machine Learning.

Trending Topics on Machine Learning

The latest topics on machine learning are as follows:

• Plant Disease Detection: It is the trending topic of ML these days. The data related to this topic is easily available and can be easily utilized. Different classifiers of MachineLearning can be deployed to diagnose plant diseases. These classifiers are Support Vector Machine, K-Nearest Neighbor, Random Forest, Decision Tree, etc.    
• Heart Disease Detection: Machine Learning attains a lot of attention in the clinical field. Many diseases can be diagnosed using it. Heart disease detection using ML is another topic. The classification algorithms of ML assist the doctors in recognizing diverse categories of heart diseases during diagnosis. 
• Brain Tumor Detection: One of the major topics is brain tumor detection using ML algorithms. The earlier technologies offered lower accuracy to detect the brain tumor. However, with machine learning, it becomes possible to diagnose the brain tumor from MRI (magnetic resonance imaging) scans and other images.
• Email Spam Detection: Email is a significant platform for communication as it offers higher efficiency and comfort. However, a malicious user sends spam emails that may contain illegal products, services, bullying, and fraud. Furthermore, spam emails usually tempt alleged threats such as information stealing. To detect the spam in emails, ML is proven a robust tool.
• Human Activity Recognition: The next topic is Human Activity Recognition using Machine Learning. The classification algorithms are exploited to recognize diverse activities of humans from videos. These activities include: walking, running, eating, etc. Human Activity RecognitionML algorithms are also useful for recognizing violent activities from videos or images.  
• Android Malware Detection: Malware is actually a general term used to define all kinds of threats related to android systems. The amount of android users is increasing day by day. Thus, it becomes the major point of attraction for cyber attackers. Machine Learning is reliable to detect android malware.
• Face Spoofing Detection: In the technological era, face recognition systems are utilized at an extent for privacy and security purpose. However, it is challenging to recognize the spoofed face. Thus, machine learning techniques are utilized to detect forged faces. Face Spoofing Detection is also a major research topic.

These are the latest machine learning topics on which students can prepare their thesis. If you selected Machine Learning as you research domain, you can get more topics on ML at Techsparks. For more information, visit our website.