nomadcover.blogg.se - Dr dev sebastian pipenet

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Welcome to the 8th International Workshop Advanced Analytics and Data Science! The 2021 conference will gather academic and industry leaders, professionals and students to uncover the potential of analytics and artificial intelligence as the key drivers of digital transformation and discuss how employers and educators can collaborate to improve education of the next generation of analytical talents.

The 8th International workshop "Advanced Analytics and Data Science".

QC051: Math Prerequsites for Quantum Computing (Udemy 2021).

SAS Programming 1: Essentials (SAS Institute 2021).

Complete Natural Language Processing (NLP) with Python (Udemy 2020).

SAS Visual Analytics 2 (SAS Viya) (SAS Institute 2020).

The Big Data processing with Apache Spark (Sages 2020).

#Dr dev sebastian pipenet how to#

How to become a Data Scientist using Azure Machine Learning (Udemy 2020).

SAS Viya: Integracja z Pythonem (SAS Institute 2020).

SAS Visual Analytics 1 (SAS Viya) (SAS Institute 2020).

Data processing in SAS: part I (SAS Institute.

Practical Machine Learning (DataWorkshop 2019).

Practical Machine Learning for Beginners (DataWorkshop 2018).

Data processing in SAS: part I (SAS Institute 2017).

Data processing in SAS: macro language (SAS Institute 2017).

Introduction to Machine Learning with Python (Sages 2017).

BigData Analysis with Apache Spark (ESSAM-ICM 2016).

Designing and creating OLAP cubes (SAS Institute 2016).

Business analysis with SAS Visual Analytics (SGH, SAS 2016).

Introduction to Big Data and Apache Hadoop (Sages 2014).

5 (5.2009) Neutrino Oscillations in the case of general interactions 11 (2011) The method of the likelihood and the Fisher information in the construction of physical models.Į.W.Piotrowski, J.Sładkowski, J.Syska, S.Z. 11 (2013) Majorana neutrino mass matrix with CP symmetry breaking 11 (2015) Attempts at Explaining Neutrino Masses and Mixings Using Finite Horizontal Symmetry Groups 2 (7.2017) The Flavour Problem and the Family Symmetry Beyond the Standard Model 4 (9.2017) Texture zeros in neutrino mass matrix

PyPi Library () The discrete family symmetries as the possible solution to the flavour problemī.Dziewit, J.Holeczek, M.Richter, M.Zralek, S.Z.

Poster on Neutrino 2018 Conference (Heidelberg, GER) View Advanced Scorecard Builder - Python Package Seminar on NOW 2018 Conference (Ostuni, Italy) View Seminar on Discrete 2018 conference (Wienna, AU) View

17537 () Lepton Masses and Mixing in Two-Higgs-Doublet Model

Dabrowski-Tumanski, J.Sulkowska, P.Sulkowski Seminar on Category Theory in Physics, Mathematics and Philosophy 2017 (Warsaw, PL) View Genus trace reveals the topological complexity and domain structure of biomolecules Seminar on Summer Conference on Topology and its Applications 2018 (Bowling Green, USA) View Server adress View Chord diagrams category and its limit Semianar on Matter To The Deepest 2019 Conference (Katowice) View Genus for biomolecules

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I follow open science and open data best practices, meaning that I try to publish data, software, analysis scripts, and paper preprints whenever possible.Ĭonsider submitting to the Empirical Software Engineering journal, where I'm a member of the editorial board.Family Symmetries and Multi Higgs Doublet Models I regularly develop custom visualization that we have been using in different research projects to explore data or to derive patterns. I am also interested in information visualization and visual analytics, exploring how interactive visualizations can support humans in analysing data. This dataset was selected as the official mining challenge of MSR 2019. I further maintain the open dataset SOTorrent that other researchers are utilizing to study the origin, evolution, and usage of Stack Overflow content. I apply data-mining techniques to open source software projects or other data sets, including data shared by companies under non-disclosure agreements. To complement qualitative results derived from interviews, observational studies, or open-ended survey questions, My research focuses on problems that I consider relevant for software developers in practice, but in addition to that I also put effort into communicating results back to practitioners by giving talks in user groups, companies, as well as other channels such as social media.

My industry experience – in the past as a student as well as recently after moving back from Australia to Germany – helps me to consider both the perspectives of researchers as well as practitioners. Too often, we still see decisions in software projects being rather based on opinions than being informed by empirical data. The guiding theme of my research has always been the idea that thoroughly analyzing and understanding the state-of-practice is an essential first step towards improving how software is being developed.