MACHINE LEARNING PROJECTS


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 learningfocuses on the development of computer programs that can access data and use it learn for themselves.
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IEEE 2018 MACHINE LEARNING BASED PROJECTS

Machine Learning APIs make it easy for developers to develop predictive applications. Here we review 5 important Machine Learning APIs: IBM Watson, Microsoft Azure Machine Learning, Google Prediction API, Amazon Machine Learning API, and BigML. This section consists of projects related to Machine Learning 2018 IEEE project list.

IEEE 2018 Machine Learning based for MTech /BE / BTech / MCA / M.sc students in bangalore.

TED001 SOCIALQ&A: AN ONLINE SOCIAL NETWORK BASED QUESTION AND ANSWER SYSTEM ABSTRACT
TED002 MODELING URBAN BEHAVIOR BY MINING GEOTAGGED SOCIAL DATA ABSTRACT
TED003 A WORKFLOW MANAGEMENT SYSTEM FOR SCALABLE DATA MINING ON CLOUDS ABSTRACT
TED004 FIDOOP: PARALLEL MINING OF FREQUENT ITEMSETS USING MAPREDUCE ABSTRACT
TED005 SENTIMENT ANALYSIS OF TOP COLLEGES IN INDIA USING TWITTER DATA ABSTRACT
TED006 FRAPPE: DETECTING MALICIOUS FACEBOOK APPLICATIONS ABSTRACT
TED007 AUTOMATICALLY MINING FACETS FOR QUERIES FROM THEIR SEARCH RESULTS ABSTRACT
TED008 CYBERBULLYING DETECTION BASED ON SEMANTIC-ENHANCED MARGINALIZED DENOISING AUTO-ENCODER ABSTRACT
TED009 CROWDSOURCING FOR TOP-K QUERY PROCESSING OVER UNCERTAIN DATA ABSTRACT
TED010 EFFICIENT ALGORITHMS FOR MINING TOP-K HIGH UTILITY ITEMSETS ABSTRACT
TED011 RATING PREDICTION BASED ON SOCIAL SENTIMENT FROM TEXTUAL REVIEWS ABSTRACT
TED012 QUANTIFYING POLITICAL LEANING FROM TWEETS, RETWEETS, AND RETWEETERS ABSTRACT
TED013 PRACTICAL APPROXIMATE K NEAREST NEIGHBOR QUERIES WITH LOCATION AND QUERY PRIVACY ABSTRACT
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ABOUT 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 learningfocuses on the development of computer programs that can access data and use it learn for themselves. Machine learning is a type of artificial intelligence (AI) that allows software applications to become more accurate in predicting outcomes without being explicitly programmed. The basic premise of machine learning is to build algorithms that can receive input data and use statistical analysis to predict an output value within an acceptable range. Machine Learning APIs make it easy for developers to develop predictive applications. Here we review 5 important Machine Learning APIs: IBM Watson, Microsoft Azure Machine Learning, Google Prediction API, Amazon Machine Learning API, and BigML. There are 3 types of Machine Learning Algorithms..
1. Supervised Learning
2. Unsupervised Learning
3. Reinforcement Learning