Machine Learning


Machine Learning


Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves. The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future


Artificial Intelligence (AI) is everywhere. Possibility is that you are using it in one way or the other and you don't even know about it. One of the popular applications of AI is Machine Learning (ML), in which computers, software, and devices perform via cognition (very similar to human brain). Herein, we share few examples of machine learning that we use everyday and perhaps have no idea that they are driven by ML.


A key machine learning benefit concerns this technology's ability to review large volumes of data and identify patterns and trends that might not be apparent to a human. For instance, a machine learning program may successfully pinpoint a causal relationship between two events. This makes the technology highly effective at data mining, particularly on a continual, ongoing basis, as would be required for an algorithm.


S.No Code Title Year Download
1 ETSML011-2019 EEG-Based Identification Of Latent Emotional Disorder Using The Machine Learning Approach 2019 Abstract |  Basepaper
2 ETSML010-2019 Network Intrusion Detection Using Supervised Machine Learning Technique With Feature Selection 2019 Abstract |  Basepaper
3 ETSML009-2019 Medical Imaging Using Machine Learning And Deep Learning Algorithms: A Review 2019 Abstract |  Basepaper
4 ETSML008-2019 Use Of Machine Learning In Detecting Network Security Of Edge Computing System 2019 Abstract |  Basepaper
5 ETSML007-2019 Performance Analysis Of Machine Learning Techniques To Predict Diabetes Mellitus 2019 Abstract |  Basepaper
6 ETSML006-2019 Multi-target Compiler For The Deployment Of Machine Learning Models 2019 Abstract |  Basepaper
7 ETSML005-2019 Analyzing Beauty By Building Custom Profiles Using Machine Learning 2019 Abstract |  Basepaper
8 ETSML004-2019 Improvement Of Protein Model Scoring Using Grouping And Interpreter For Machine Learning 2019 Abstract |  Basepaper
9 ETSML003-2019 Using Machine Learning To Classify Test Outcomes 2019 Abstract |  Basepaper
10 ETSML002-2019 Information Retrieval Ranking Using Machine Learning Techniques 2019 Abstract |  Basepaper
11 ETSML001-2019 Adaptive Safe Semi-Supervised Extreme Machine Learning 2019 Abstract |  Basepaper

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