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BEGIN:VEVENT
DTSTART;TZID=UTC:20220527T090000
DTEND;TZID=UTC:20220527T130000
DTSTAMP:20260502T140737
CREATED:20220307T112159Z
LAST-MODIFIED:20220527T135927Z
UID:1202-1653642000-1653656400@isyn-mainz.de
SUMMARY:Deep Learning using Keras and Tensorflow
DESCRIPTION:Motivation  \n\n\n\nPython is a general-purpose\, versatile and popular programming language\, that is becoming increasingly popular in science \, for machine learning application and for general scripting and data analysis purposes. It’s great as a first language because it is concise and easy to read. However\, finding motivation to learn Python or even to consolidate learned skills after joining a workshop\, can be hard. \n\n\n\n Course Details:  \n\n\n\nThis course will be an introduction to deep learning. We will talk about different concepts\, neural network (NN) architectures and their respective implementations in Python. Concepts and algorithms are of course library independent\, nevertheless we will mainly focus on using the Keras Framework (part of Tensorflow) to implement different models. After some theoretical discussion we will setup together the deep learning environment and try to solve different problems using different NN architectures.  \n\n\n\n Requirements  \n\n\n\nYou should already feel quite comfortable in programming in python and bring some prior knowledge in how to work with pandas/numpy if possible. I would recommend to participate in the  “Scikit-Learn: Using Machine Learning in Python” courses if you are not comfortable with machine learning at all yet. I would advise to use a computer with a NVIDIA GPU to speed up computaions\, but this is not mandatory.  \n\n\n\n Correspondence:  \n\n\n\n For questions write to:  \n\n\n\nStanislav Sys – stsys@uni-mainz.de or Stephan Weißbach – s.weissbach@uni-mainz.de (regarding Content)  \n\n\n\nNicolas Ruffini Nicolas.ruffini@lir-mainz.de (regarding Event) \n\n\n\n\n\n Registration:  \n\n\n\n Registration is available after login – if you do not have an ISyN-Account yet\, create one\, using the “Become a member”-Button in the top
URL:https://isyn-mainz.de/event/deep-learning-using-keras-and-tensorflow/
LOCATION:LIR Mainz\, Wallstraße 7\, Mainz\, 55122\, Germany
CATEGORIES:ISyN-Event,Learning Python Series
ORGANIZER;CN="Nicolas Ruffini":MAILTO:nicolas.ruffini@lir-mainz.de
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20220520T090000
DTEND;TZID=UTC:20220520T130000
DTSTAMP:20260502T140737
CREATED:20220302T093848Z
LAST-MODIFIED:20220405T080332Z
UID:1145-1653037200-1653051600@isyn-mainz.de
SUMMARY:Scikit-Learn: Using Machine Learning in Python
DESCRIPTION:Motivation \n\n\n\nPython is a general-purpose\, versatile and popular programming language\, that is becoming increasingly popular in science \, for machine learning application and for general scripting and data analysis purposes. It’s great as a first language because it is concise and easy to read. However\, finding motivation to learn Python or even to consolidate learned skills after joining a workshop\, can be hard. \n\n\n\nThis is the third appointment out of four in our 2022 spring Python Course Series. Here we want to cover some basic machine learning techniques with the Python package scikit-learn and deepen our skills in plotting with seaborn. \n\n\n\nCourse Details: \n\n\n\nThis course will show you how to install scikit-learn on your machine and how to use some basic Machine Learning algorithms. We will talk about different concepts in Machine Learning\, about how to tackle which problems and of course also program to solve some Machine Learning problems together in Python. \n\n\n\nRequirements \n\n\n\nYou should already feel quite comfortable in programming in python and bring some prior knowledge in how to work with pandas\, the data managment library in python. If you joined the second course and were able to follow its contents\, you should also be able to follow all concepts introduced in this course- even though this time we will have to introduce some more theoretical concepts than before! \n\n\n\n \n\n\n\n \n\n\n\nCorrespondence: \n\n\n\nFor questions write to: \n\n\n\nNicolas Ruffini Nicolas.ruffini@lir-mainz.de \n\n\n\n\n\n Registration:  \n\n\n\n Registration is available after login – if you do not have an ISyN-Account yet\, create one\, using the “Become a member”-Button in the top
URL:https://isyn-mainz.de/event/scikit-learn-using-machine-learning-in-python-2/
LOCATION:LIR Mainz\, Wallstraße 7\, Mainz\, 55122\, Germany
CATEGORIES:ISyN-Event,Learning Python Series
ORGANIZER;CN="Nicolas Ruffini":MAILTO:nicolas.ruffini@lir-mainz.de
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20220513T090000
DTEND;TZID=UTC:20220513T130000
DTSTAMP:20260502T140737
CREATED:20220302T093325Z
LAST-MODIFIED:20220405T080242Z
UID:1143-1652432400-1652446800@isyn-mainz.de
SUMMARY:Programming and Plotting in Python for Beginners with prior knowledge
DESCRIPTION:Motivation \n\n\n\nPython is a general-purpose\, versatile and popular programming language\, that is becoming increasingly popular in science \, for machine learning application and for general scripting and data analysis purposes. It’s great as a first language because it is concise and easy to read. However\, finding motivation to learn Python or even to consolidate learned skills after joining a workshop\, can be hard. \n\n\n\nThis is the second appointment out of four in our 2022 spring Python Course Series. Here we want to cover programming in Python for users with some prior knowledge and extend the insights we got in the first course by learning the usage of some of the most useful libraries in Python for data handling and plotting. \n\n\n\nCourse Details: \n\n\n\nThis course will show you some more advanced concepts when programming with Python. We will load additional packages in Python\, and install third-party packages using pip. We will further focus on loading and working with tables using pandas and plotting with seaborn and matplotlib. \n\n\n\nRequirements \n\n\n\nSome knowledge about basic concepts of programming is helpful for this second course. \n\n\n\nFor this course\, you should already have Python installed on your machine. \n\n\n\nTry to install Python here (basic Python):https://www.python.org/downloads/ \n\n\n\nOr here (including some helpful packages and package managing):https://www.anaconda.com/products/individual \n\n\n\nYou can also start getting familiar with Python\, e.g. using one of these online courses:https://www.datacamp.com/courses/intro-to-python-for-data-sciencehttps://www.codecademy.com/learn/learn-python-3 \n\n\n\nCorrespondence: \n\n\n\nFor questions write to: \n\n\n\nNicolas Ruffini Nicolas.ruffini@lir-mainz.de \n\n\n\n \n\n\n\n\n\n Registration:  \n\n\n\n Registration is available after login – if you do not have an ISyN-Account yet\, create one\, using the “Become a member”-Button in the top
URL:https://isyn-mainz.de/event/programming-and-plotting-in-python-for-beginners-with-prior-knowledge-2/
LOCATION:LIR Mainz\, Wallstraße 7\, Mainz\, 55122\, Germany
CATEGORIES:ISyN-Event,Learning Python Series
ORGANIZER;CN="Nicolas Ruffini":MAILTO:nicolas.ruffini@lir-mainz.de
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20220506T090000
DTEND;TZID=UTC:20220506T130000
DTSTAMP:20260502T140737
CREATED:20220302T092945Z
LAST-MODIFIED:20220405T080215Z
UID:1134-1651827600-1651842000@isyn-mainz.de
SUMMARY:Python for total Beginners
DESCRIPTION:Motivation \n\n\n\nPython is a general-purpose\, versatile and popular programming language\, that is becoming increasingly popular in science \, for machine learning application and for general scripting and data analysis purposes. It’s great as a first language because it is concise and easy to read. However\, finding motivation to learn Python or even to consolidate learned skills after joining a workshop\, can be hard. \n\n\n\nThus\, we want to offer a weekly Hands-On programming course in Python\, to start with basic programming concepts for total beginners and then tackle more advanced topics in the following three appointments. \n\n\n\nCourse Details: \n\n\n\nThis course will show you how to install Python on your machine and together we aim to understand the basic concepts of programming in Python. We will have a look into some basic objects in programming such as integers\, floats\, strings and will cover some concepts such as loops and if-else conditions. \n\n\n\nRequirements \n\n\n\nNo deeper knowledge about programming is necessary for the first course. If you have some preferences and / or  are already familiar with some concepts  of Python or programming in general\, join form the second/ third/ fourth course on\, or just tell us\, so we can shift our focus if many of you are interested in a specific topic. \n\n\n\nIf you already want to prepare some more\, try to install Python here (basic Python):https://www.python.org/downloads/ \n\n\n\nOr here (including some helpful packages and package managing):https://www.anaconda.com/products/individual \n\n\n\nYou can also start getting familiar with Python\, e.g. using one of these online courses:https://www.datacamp.com/courses/intro-to-python-for-data-sciencehttps://www.codecademy.com/learn/learn-python-3 \n\n\n\nCorrespondence: \n\n\n\nFor questions write to: \n\n\n\nNicolas Ruffini Nicolas.ruffini@lir-mainz.de \n\n\n\n\n\n Registration:  \n\n\n\n Registration is available after login – if you do not have an ISyN-Account yet\, create one\, using the “Become a member”-Button in the top
URL:https://isyn-mainz.de/event/python-for-total-beginners-2/
LOCATION:LIR Mainz\, Wallstraße 7\, Mainz\, 55122\, Germany
CATEGORIES:ISyN-Event,Learning Python Series
ORGANIZER;CN="Nicolas Ruffini":MAILTO:nicolas.ruffini@lir-mainz.de
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