Artificial Intelligence and Machine Learning

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-[[Sharma, L. & Srivastava, V. (2017). How Artificial Intelligence and Machine Learning Can Impact Market Design. International Journal of Scientific Research in Science Engineering and Technology, 3(1), 187-192. Retrieved from Google Scholar (BRENNOR JACOBS) ]]+[[Sharma, L. & Srivastava, V. (2017). How Artificial Intelligence and Machine Learning Can Impact Market Design. International Journal of Scientific Research in Science Engineering and Technology, 3(1), 187-192. Retrieved from Google Scholar (BRENNOR JACOBS)]]
==Topics== ==Topics==

Revision as of 11:22, 12 March 2018

Contents

About This Subject

Machine Learning: Machine learning is a field of computer science that gives computer systems the ability to "learn" with data, without being explicitly programmed.

Artifical Intelligence: Artificial intelligence is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals.



[[Sharma, L. & Srivastava, V. (2017). How Artificial Intelligence and Machine Learning Can Impact Market Design. International Journal of Scientific Research in Science Engineering and Technology, 3(1), 187-192. Retrieved from Google Scholar (BRENNOR JACOBS)]]

Topics

Analytics, Machine Learning And The Internet of things

Due to our massively connected world, combined with low-cost sensors and distributed intelligence, a popular question asked by scholars today is whether or not businesses and current organizations will be able to adapt and evolve quickly enough to maintain their place in this new competitive landscape.

Articles

Earley, S. (2015). Analytics, machine learning, and the internet of things.. IT Professional, 17(1), 10-13 (JOSHUA ERDMANN)

Machine Learning and AI Impacting Modern Transportation

Modern Transportation and more specifically self-driving autonomous vehicles have been an important topic in the past decade. More and more researchers are looking into the possibility of self-driving cars and trying to make a dream a reality.

Articles

Greengard, S. (2017). Gaming machine learning. Communications of the ACM, 60(12), 14-16. (JOSHUA ERDMANN)

Acoustic Modeling in Speech Recognition

Speech recognition software has become faster, more accurate, and as a result more prevalent. The technology is literally everywhere, constantly following consumers through their phones, cars, watches, and every other smart technology they've integrated into their lives. These articles will explore how computers are increasingly capable of understanding human language in context, thinking and learning in human language, and answering complex questions in human language.

Articles

Dahl, G. (2012). Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups. IEEE Signal Processing Magazine, 29(6), 82-97.


Variani, E., Bagby, T., Mcdermott, E., & Bacchiani, M. (2017). End-to-End Training of Acoustic Models for Large Vocabulary Continuous Speech Recognition with TensorFlow. Interspeech 2017.

Books

Author, A. A. (2018). Title of work: Capital letter also for subtitle.


Enhancing Digital Marketing Strategies with Machine Learning

2-3 sentence description of the topic

Articles

Milgrom, P. R. & Tadelis, S. (2018). How Artificial Intelligence and Machine Learning Can Impact Market Design. . Retrieved from Google Scholar (BRENNOR JACOBS)

Machine Learning and Sentiment Analysis

Sentiment analysis is used in digital marketing in order to gauge consumers reactions towards a brand through computer-mediated communication. While it has been done manually for years, algorithms are being developed to accurately portray consumers comments via online mediums with the usage of machines to amalgamate the data.

Articles

Perlich, C., Dalessandro, B., Raeder, T., Stitelman, O. and Provost, F. (2013). Machine learning for targeted display advertising: transfer learning in action. Machine Learning, 95(1), pp.103-127.

Dhaoui, C., Webster, C. and Tan, L. (2017). Social media sentiment analysis: lexicon versus machine learning. Journal of Consumer Marketing, 34(6), pp.480-488.

Topic 4

2-3 sentence description of the topic

Articles

Author, A. A. (2018). Title of article.

Books

Author, A. A. (2018). Title of work: Capital letter also for subtitle.

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