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2nd International Conference on Machine Learning Techniques and Data Science (MLDS 2021) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning Techniques and Data Science.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.
PAPER SUBMISSION
SAMPLE TEMPLATE
Due to the current COVID-19 pandemic, registered authors are now able to present their work through our online platforms
TOPICS OF INTEREST
Machine Learning
Deep Learning
Learning in knowledge-intensive systems
Learning Methods and analysis
Learning Problems
Machine Learning Applications
Machine Learning models and applications
Machine Learning Recommender systems
Machine Translation
Neural Networks / Deep Learning
Data Science
Big Data
Business Data
Data Analytics
Data Management
Data Mining
Data Science and Machine Learning
Databases
Forecasting
Hybrid Machine Learning Systems for Data Science
Natural Language Processing
Social Network Analysis
Time Series Analysis
Paper Submission
Authors are invited to submit papers through the conference Submission System by CLOSED. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).
Selected papers from MLDS 2021, after further revisions, will be published in the special issue of the following journals
Machine Learning and Applications: An International Journal (MLAIJ)
International Journal of Artificial Intelligence & Applications (IJAIA)
International Journal of Data Mining & Knowledge Management Process (IJDKP)
Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC digital library.
Courtesy
Speakers
Speakers
Mohammad Saleem Budapest University of Technology and Economics, Hungary
Altangerel Gereltsetseg ELTE EötvösLoránd University, Hungary
Ciarán Bryce
University of Applied Sciences of Western Switzerland (HES-SO), Switzerland
Yew Kee WONG
HuangHuai University, China
Shreya Venugopal PES University,India
EL AERAJ OUAFAE Hassan II University of Casablanca,Morocco
Sukanya Nath Bern University of Applied Sciences, Switzerland
Yipkei
Kwok Missouri Western State
University, USA
Magesh Kasthuri
Wipro Ltd,India
Ruolin Huang Donghua University,China
Christoph Kammerer
University of Applied Sciences Heilbronn, Germany
Hsueh-Wei Chen
National Taiwan University,Taiwan
Jordan Raykov
JDElite ConsultingUSA
Igli Tafa
Polytechnic University of Tirana, Albanian
Rahil
Gandotra University of
Colorado Boulder,USA
Susith Hemathilaka
University of Westminser,
Sri Lanka
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