Python and Machine Learning
The Centre for Training and Lifelong Learning (K.E.DI.VI.M) of the University of Crete organises course with title : «Python and Machine Learning».
Applications until 23/10/2023.
Applications are closed
Sustainable Development Goals
- 1 Description
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The purpose of the program is to provide an educational introduction to Machine Learning, starting from the basic prerequisite knowledge. Machine Learning is a highly demanded skill in the job market. The main goal of the program is to equip the learner with a solid foundation and a strong toolset for their professional development. This foundation includes acquiring basic skills such as computer programming and data preprocessing. The tools used to build these skills are the Python programming language and its scientific libraries, namely Numpy, Maplotlib, SciPy, and Pandas. Additionally, a solid mathematical background is also essential as it forms the basis for all Machine Learning Algorithms.
In the second part of the program, the trainees become familiar with two fundamental axes of the field: Supervised Learning and Unsupervised Learning. In Supervised Learning, algorithms are “trained” using data (input) for which their corresponding mappings to other data (output) are known, with the aim of predicting the outcomes of new, unknown data.
In Unsupervised Learning, algorithms are not “trained” but rather attempt to discover patterns or structures in data that are not explicitly linked to any specific conclusion.
Target group
Graduates of Departments of Mathematics, Science or Engineering.
Discount policy
Categories Percentage of discount 20% · Unemployed Yes · Young people up to 30 years old who are European Youth Card holders Yes · Staff working at universities, universities of applied sciences and research centres in Greece Yes · Graduates of UOC Yes · Postgraduate students Yes · Disabled persons Yes · Parents of single-parent families with an annual income of less than 15,000 euros Yes · Multiple parent or member of a large family Yes · Parents who have minor children with special needs Yes · People with an annual income of less than 12,000 euros Yes · Participation in the same course of study by two or more persons related by first and second degree of kinship. Yes · Employees of the University of Crete Yes - 2 Content
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This online seminar is aimed at Science and Engineering graduates. Its duration is 8 months and consists of four units:
1. Python Programming
2. Python & Data
3. Supervised Learning
4. Unsupervised Learning
The flow of the educational process consists of asynchronous study spanning over two weeks approximately, followed by a three-hour remote synchronous workshop (via Zoom). The workshops have strong interaction with active participation of all trainees. The attendance of the trainees in the workshops is mandatory.
The first introductory meeting will be held on Tuesday, October 24 2023, at 7 pm.
At the end of each unit, a mandatory programming assignment will be submitted.
You can view the detailed scheduling of the seminar at this link
- 3 Scientific Coordinator
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D. Kalopsikakis
Dimitris Kalopsikakis is Lab Teaching Staff in the Department of Mathematics and Applied Mathematics at the University of Crete. He has studied Computer Science (Bachelor’s degree 1997, MSc 2000) and Pure Mathematics (Bachelor’s degree 2016, MSc 2020) at the University of Crete. In the past, he has worked as a Systems Software Developer in the private sector (Forthnet R&D, ISD S.A.), as a lecturer at the Technological Educational Institute of Crete (course: Distributed Systems), and as a research assistant at the Institute of Computer Science of FORTH (networks group). He has long-term experience in UNIX/Linux systems administration and software development in a variety of application fields (systems software, web development, databases, scientific software, etc.). His interests include the Mathematics of Computer Science, Machine Learning, and Software Development. - 4 Trainers
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Trainers
Dimitrios Kalopsikakis
Lab Teaching Staff at University of Crete
Nikos Christakis
Researcher at University of Crete
Participation fee
500 €
* Discounts apply for special categories.
Teaching Hours
400
Start Date
16/11/2023
Duration
8 months
ECVET
16
Scientific Coordinator
Applications are closed
Information & Registration
kedivim@uoc.gr