October 21-22, 2021
Webinar
Respected All,
With immense pleasure we would like to announce the “5th International Conference on Data Science and Machine Learning” that is scheduled for October 15-16, 2021; Webinar.
The theme for the event is “Emerging trends in Data Science and Machine Learning”.
Data Science Meet 2021 will be witnessing abundant Data Scientists, Software developers, Researchers, Data Analysts, IT sectors, Industrial units, Data Engineers, Business Analysts, Entrepreneurs, Students, Delegates, and Exhibitors from all around the world.
We hope that the Data Science Meet 2021 will become a great success with everyone’s contribution. This summit will be a platform to exchange ideas, the latest innovation, and research progression in the vast field of Data Science.
We are feeling privileged to have you all for Data Science Meet 2021.
Thank you
Regards,
Organizing Committee
Data Science Meet 2021
With Immense pleasure, Pulsus Conference would like to invite participants from all around the world to attend the “5th International Conference on Data Science and Machine Learning” which is scheduled for October 15-16, 2021; Webinar.
The theme of the conference is “Emerging trends in Data Science and Machine Learning”, which will cover a vast range of topics related to Data Science.
The motive of Data Science Meet 2021 is to focus on the latest research in the vast field of Data Science like Artificial Intelligence, the Internet of things, and many more. This meeting will be the best place for comprehensive and effective learning as well as explore the latest research and developments in Data Science and Machine Learning.
The universal truth is that modern businesses are packed with data. We will look into the enormous value in data processing and analysis. We will have sessions about rising growth in rapid technologies and internet adoption. How emerging technologies like Artificial Intelligence and the Internet of things are made use to run intelligent models.
Benefits of attending:
Target Audience:
With utmost pleasure, on behalf of the Organizing Committee Members of Data Science Meet 2021, we invite you to the “5th International Conference on Data Science and Machine Learning” slated to hold from October 15-16, 2021; Webinar.
The key theme of the congress is “Emerging trends in Data Science and Machine Learning”, which will wrap a wide range of vital topics.
Session 1: Data Science
Data Science is related to more than one branch of knowledge hence it belongs to an interdisciplinary field. Data Science is associated with big data, machine learning, and data mining. Data science is an idea to merge statistics, informatics, and data analysis with the aim of analyzing a given phenomenon with the data.
Recent research updates: Sarah Fecht from Earth Institute at Columbia University stated that a new dataset could aid climate justice research.
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Related Societies and Association:
Association of Data Scientists (ADaSci) | The American Statistical Association (ASA) | The Data Science Council Of America (DASCA) | The Institute for Operations Research and the Management Sciences (INFORMS) | Advanced Analytics Institute (AAi) | The International Machine Learning Society (IMLS) | Swedish AI Society | European Coordinating Committee for Artificial Intelligence | International Neural Network Society | International Society for Applied AI |
Related Conferences:
International Conference on Communication and Data Science (ICCDS), 2021, Paris, France; International Conference on Smart Technologies in Data Science and Communications (ICSTDSC), 2021, Prague, Czechia; International Conference on Advances in Big Data and Data Sciences (ICABDDS), 2021, Toronto, Canada; International Conference on Big Data Science and Engineering (ICBDSE), 2021, New York, United States; International Conference on Big Data Analytics and Big Data Science (ICBDABDS), 2021, San Francisco, United States
Session 2: Artificial Intelligence
Artificial Intelligence is referred to as the recreation of human intelligence in machines. With AI machines are programmed to think like humans and imitate their actions. Artificial Intelligence is widely known for providing personalized recommendations to humans based on their previous online activities. Artificial Intelligence is a division of computer science that deals with algorithms.
Recent research updates: A team led by Matthew Robert Bennet and Marcin Budka trained AI to recognize footprints. They also mentioned it won’t replace forensic experts yet.
Recommended: Machine learning conference | Data Science conferences | Machine learning Congress | Data Science Congress | Data Science Summit | Machine Learning Summit | Data Science Forum | Machine Learning Forum
Related Societies and Association:
Association of Data Scientists (ADaSci) | The American Statistical Association (ASA) | The Data Science Council Of America (DASCA) | The Institute for Operations Research and the Management Sciences (INFORMS) | Advanced Analytics Institute (AAi) | The International Machine Learning Society (IMLS) | Swedish AI Society | European Coordinating Committee for Artificial Intelligence | International Neural Network Society | International Society for Applied AI |
Related Conferences:
International Conference on Communication and Data Science (ICCDS), 2021, Paris, France; International Conference on Smart Technologies in Data Science and Communications (ICSTDSC), 2021, Prague, Czechia; International Conference on Advances in Big Data and Data Sciences (ICABDDS), 2021, Toronto, Canada; International Conference on Big Data Science and Engineering (ICBDSE), 2021, New York, United States; International Conference on Big Data Analytics and Big Data Science (ICBDABDS), 2021, San Francisco, United States
Session 3: Internet of things
Internet of things is the modern catchword in the technical domain. Internet of Things is a network of physical objects embedded with sensors and software. Internet of Things has the ability to transmit data over a network without any interaction between human to computer or computer to computer.
Recent research updates: Chinese Academy of Sciences has come up with research about Nanostructure-based lasers for information and communication technologies using Internet of things.
Recommended: Machine learning conference | Data Science conferences | Machine learning Congress | Data Science Congress | Data Science Summit | Machine Learning Summit | Data Science Forum | Machine Learning Forum
Related Societies and Association:
Association of Data Scientists (ADaSci) | The American Statistical Association (ASA) | The Data Science Council Of America (DASCA) | The Institute for Operations Research and the Management Sciences (INFORMS) | Advanced Analytics Institute (AAi) | The International Machine Learning Society (IMLS) | Swedish AI Society | European Coordinating Committee for Artificial Intelligence | International Neural Network Society | International Society for Applied AI |
Related Conferences:
International Conference on Communication and Data Science (ICCDS), 2021, Paris, France; International Conference on Smart Technologies in Data Science and Communications (ICSTDSC), 2021, Prague, Czechia; International Conference on Advances in Big Data and Data Sciences (ICABDDS), 2021, Toronto, Canada; International Conference on Big Data Science and Engineering (ICBDSE), 2021, New York, United States; International Conference on Big Data Analytics and Big Data Science (ICBDABDS), 2021, San Francisco, United States
Session 4: Machine Learning
Data Science and Machine learning are the very trending scientific terms right now. Machine learning is referred to as a bunch of techniques practices by data scientists so that computers can learn from the data. This strategy produces outcomes without explicitly programming.
Recent research updates: Andrea Elyse Messer from Pennsylvania State University has found that Remote-sensing and machine learning can reveal Archaic shell rings.
Recommended: Machine learning conference | Data Science conferences | Machine learning Congress | Data Science Congress | Data Science Summit | Machine Learning Summit | Data Science Forum | Machine Learning Forum
Related Societies and Association:
Association of Data Scientists (ADaSci) | The American Statistical Association (ASA) | The Data Science Council Of America (DASCA) | The Institute for Operations Research and the Management Sciences (INFORMS) | Advanced Analytics Institute (AAi) | The International Machine Learning Society (IMLS) | Swedish AI Society | European Coordinating Committee for Artificial Intelligence | International Neural Network Society | International Society for Applied AI |
Related Conferences:
International Conference on Communication and Data Science (ICCDS), 2021, Paris, France; International Conference on Smart Technologies in Data Science and Communications (ICSTDSC), 2021, Prague, Czechia; International Conference on Advances in Big Data and Data Sciences (ICABDDS), 2021, Toronto, Canada; International Conference on Big Data Science and Engineering (ICBDSE), 2021, New York, United States; International Conference on Big Data Analytics and Big Data Science (ICBDABDS), 2021, San Francisco, United States
Session 5: Robotics
Robotics is a branch of Artificial Intelligence. Robotics is composed of electrical, mechanical, and computer science engineering. Robots were designed to replace manpower with machines. The key factor for the research and development of robots is artificial intelligence.
Recent research updates: Worker robots with personalities to be produced by Google.
Recommended: Machine learning conference | Data Science conferences | Machine learning Congress | Data Science Congress | Data Science Summit | Machine Learning Summit | Data Science Forum | Machine Learning Forum
Related Societies and Association:
Association of Data Scientists (ADaSci) | The American Statistical Association (ASA) | The Data Science Council Of America (DASCA) | The Institute for Operations Research and the Management Sciences (INFORMS) | Advanced Analytics Institute (AAi) | The International Machine Learning Society (IMLS) | Swedish AI Society | European Coordinating Committee for Artificial Intelligence | International Neural Network Society | International Society for Applied AI |
Related Conferences:
International Conference on Communication and Data Science (ICCDS), 2021, Paris, France; International Conference on Smart Technologies in Data Science and Communications (ICSTDSC), 2021, Prague, Czechia; International Conference on Advances in Big Data and Data Sciences (ICABDDS), 2021, Toronto, Canada; International Conference on Big Data Science and Engineering (ICBDSE), 2021, New York, United States; International Conference on Big Data Analytics and Big Data Science (ICBDABDS), 2021, San Francisco, United States
Session 6: Deep Learning
Deep learning is a function of Machine Learning and Artificial Intelligence. Deep learning processes data similar to the working of the human brain and creates a pattern that is used in making decisions. Deep learning is a major component of data science which includes predictive modelling and statistics.
Recent research updates: X-ray data can be visualized in three dimensions (3D) using deep learning methods
Recommended: Machine learning conference | Data Science conferences | Machine learning Congress | Data Science Congress | Data Science Summit | Machine Learning Summit | Data Science Forum | Machine Learning Forum
Related Societies and Association:
Association of Data Scientists (ADaSci) | The American Statistical Association (ASA) | The Data Science Council Of America (DASCA) | The Institute for Operations Research and the Management Sciences (INFORMS) | Advanced Analytics Institute (AAi) | The International Machine Learning Society (IMLS) | Swedish AI Society | European Coordinating Committee for Artificial Intelligence | International Neural Network Society | International Society for Applied AI |
Related Conferences:
International Conference on Communication and Data Science (ICCDS), 2021, Paris, France; International Conference on Smart Technologies in Data Science and Communications (ICSTDSC), 2021, Prague, Czechia; International Conference on Advances in Big Data and Data Sciences (ICABDDS), 2021, Toronto, Canada; International Conference on Big Data Science and Engineering (ICBDSE), 2021, New York, United States; International Conference on Big Data Analytics and Big Data Science (ICBDABDS), 2021, San Francisco, United States
Session 7: Artificial Neural Networks
Artificial Neural Network is a subdivision of Machine Learning and Deep Learning is a subsection of Artificial Neural Network. ANN is used for modelling and predicting the output values based on the input given from their training values.
Recent research updates: Brain connectivity can build better AI. Artificial Neural Networks modelled on real brains can perform cognitive tasks
Recommended: Machine learning conference | Data Science conferences | Machine learning Congress | Data Science Congress | Data Science Summit | Machine Learning Summit | Data Science Forum | Machine Learning Forum
Related Societies and Association:
Association of Data Scientists (ADaSci) | The American Statistical Association (ASA) | The Data Science Council Of America (DASCA) | The Institute for Operations Research and the Management Sciences (INFORMS) | Advanced Analytics Institute (AAi) | The International Machine Learning Society (IMLS) | Swedish AI Society | European Coordinating Committee for Artificial Intelligence | International Neural Network Society | International Society for Applied AI |
Related Conferences:
International Conference on Communication and Data Science (ICCDS), 2021, Paris, France; International Conference on Smart Technologies in Data Science and Communications (ICSTDSC), 2021, Prague, Czechia; International Conference on Advances in Big Data and Data Sciences (ICABDDS), 2021, Toronto, Canada; International Conference on Big Data Science and Engineering (ICBDSE), 2021, New York, United States; International Conference on Big Data Analytics and Big Data Science (ICBDABDS), 2021, San Francisco, United States
Session 8: Image processing
Data Science and Image processing together play a vital role in the field of health care. It is a phenomenon to manipulate an image in order to extract features in it. Medical-imaging, surveillance, automotive safety, and image segmentation are some of the applications of image processing in data science.
Latest updates: NASA performs field test of 3D imaging system for descent landing
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Related Societies and Association:
Association of Data Scientists (ADaSci) | The American Statistical Association (ASA) | The Data Science Council Of America (DASCA) | The Institute for Operations Research and the Management Sciences (INFORMS) | Advanced Analytics Institute (AAi) | The International Machine Learning Society (IMLS) | Swedish AI Society | European Coordinating Committee for Artificial Intelligence | International Neural Network Society | International Society for Applied AI |
Related Conferences:
International Conference on Communication and Data Science (ICCDS), 2021, Paris, France; International Conference on Smart Technologies in Data Science and Communications (ICSTDSC), 2021, Prague, Czechia; International Conference on Advances in Big Data and Data Sciences (ICABDDS), 2021, Toronto, Canada; International Conference on Big Data Science and Engineering (ICBDSE), 2021, New York, United States; International Conference on Big Data Analytics and Big Data Science (ICBDABDS), 2021, San Francisco, United States
Session 9: Data Analytics and Informatics
Analyzing data using qualitative and quantitative techniques in order to look for trends and patterns in the data is termed Data Analytics. Informatics is the application of that information.
Recent research updates: Materials informatics reveals new class of super-hard alloys
Recommended: Machine learning conference | Data Science conferences | Machine learning Congress | Data Science Congress | Data Science Summit | Machine Learning Summit | Data Science Forum | Machine Learning Forum
Related Societies and Association:
Association of Data Scientists (ADaSci) | The American Statistical Association (ASA) | The Data Science Council Of America (DASCA) | The Institute for Operations Research and the Management Sciences (INFORMS) | Advanced Analytics Institute (AAi) | The International Machine Learning Society (IMLS) | Swedish AI Society | European Coordinating Committee for Artificial Intelligence | International Neural Network Society | International Society for Applied AI |
Related Conferences:
International Conference on Communication and Data Science (ICCDS), 2021, Paris, France; International Conference on Smart Technologies in Data Science and Communications (ICSTDSC), 2021, Prague, Czechia; International Conference on Advances in Big Data and Data Sciences (ICABDDS), 2021, Toronto, Canada; International Conference on Big Data Science and Engineering (ICBDSE), 2021, New York, United States; International Conference on Big Data Analytics and Big Data Science (ICBDABDS), 2021, San Francisco, United States
Session 10: Spatial analysis and Multivariate analysis
Modeling problems geographically and deriving the results by computer processing is known as spatial data analysis. Whereas, multivariate analysis deals with statistical analysis of data which contains more than one dependent variable.
Recommended: Machine learning conference | Data Science conferences | Machine learning Congress | Data Science Congress | Data Science Summit | Machine Learning Summit | Data Science Forum | Machine Learning Forum
Related Societies and Association:
Association of Data Scientists (ADaSci) | The American Statistical Association (ASA) | The Data Science Council Of America (DASCA) | The Institute for Operations Research and the Management Sciences (INFORMS) | Advanced Analytics Institute (AAi) | The International Machine Learning Society (IMLS) | Swedish AI Society | European Coordinating Committee for Artificial Intelligence | International Neural Network Society | International Society for Applied AI |
Related Conferences:
International Conference on Communication and Data Science (ICCDS), 2021, Paris, France; International Conference on Smart Technologies in Data Science and Communications (ICSTDSC), 2021, Prague, Czechia; International Conference on Advances in Big Data and Data Sciences (ICABDDS), 2021, Toronto, Canada; International Conference on Big Data Science and Engineering (ICBDSE), 2021, New York, United States; International Conference on Big Data Analytics and Big Data Science (ICBDABDS), 2021, San Francisco, United States
Session 11: Data Science in Biotechnology
Data Science plays a major role in predicting the onset of disease. Data Scientists using big data can ease advances in medical biotechnology. Data Science utilizes genome sequence factors in predicting disease. A wellness app can be made where the user will be alerted if particular food or activity leads to an increase in the risk of certain diseases
Recommended: Machine learning conference | Data Science conferences | Machine learning Congress | Data Science Congress | Data Science Summit | Machine Learning Summit | Data Science Forum | Machine Learning Forum
Related Societies and Association:
Association of Data Scientists (ADaSci) | The American Statistical Association (ASA) | The Data Science Council Of America (DASCA) | The Institute for Operations Research and the Management Sciences (INFORMS) | Advanced Analytics Institute (AAi) | The International Machine Learning Society (IMLS) | Swedish AI Society | European Coordinating Committee for Artificial Intelligence | International Neural Network Society | International Society for Applied AI |
Related Conferences:
International Conference on Communication and Data Science (ICCDS), 2021, Paris, France; International Conference on Smart Technologies in Data Science and Communications (ICSTDSC), 2021, Prague, Czechia; International Conference on Advances in Big Data and Data Sciences (ICABDDS), 2021, Toronto, Canada; International Conference on Big Data Science and Engineering (ICBDSE), 2021, New York, United States; International Conference on Big Data Analytics and Big Data Science (ICBDABDS), 2021, San Francisco, United States
Session 12: Cyber Security
Cyber security is the process of preventing digital attacks in order to protect the privacy of data. In the year 2020, the average cost of a data breach was 3.86 US dollars globally. Cyber security includes network security, application security, cloud security, information security, and many more.
Recommended: Machine learning conference | Data Science conferences | Machine learning Congress | Data Science Congress | Data Science Summit | Machine Learning Summit | Data Science Forum | Machine Learning Forum
Related Societies and Association:
Association of Data Scientists (ADaSci) | The American Statistical Association (ASA) | The Data Science Council Of America (DASCA) | The Institute for Operations Research and the Management Sciences (INFORMS) | Advanced Analytics Institute (AAi) | The International Machine Learning Society (IMLS) | Swedish AI Society | European Coordinating Committee for Artificial Intelligence | International Neural Network Society | International Society for Applied AI |
Related Conferences:
International Conference on Communication and Data Science (ICCDS), 2021, Paris, France; International Conference on Smart Technologies in Data Science and Communications (ICSTDSC), 2021, Prague, Czechia; International Conference on Advances in Big Data and Data Sciences (ICABDDS), 2021, Toronto, Canada; International Conference on Big Data Science and Engineering (ICBDSE), 2021, New York, United States; International Conference on Big Data Analytics and Big Data Science (ICBDABDS), 2021, San Francisco, United States
Forecast period [2019-2024]
According to the report, the Data Science market is expected to shoot up from 38 billion USD (2019) to 141 billion USD (2024) at a CAGR of 30%. In the year 2018, the global Machine Learning market size was valued at 6.9 billion USD and is estimated to register a CAGR of 43.8% during the forecast period. With this rapid development, Artificial Intelligence techniques such as Machine Learning are gaining a significant hold in the market. Machine learning is a subset of Artificial Intelligence and its application aid to be very precise in predicting the outcomes without being explicitly programmed.
Some of the key growth factors for the market are:
Data Science Market of regions (USD Billion)
As shown above the data science market is high in regions of North America, Asia Pacific, Europe, MEA and Latin America. North America as we can see has the largest market during the forecasting period. Shift towards IoT, cloud technology and increase in advanced technology is the main reason for the boost in demand for data science.
Recent Developments:
Key Market Player:
Top Universities around the globe: -