In order to be able to present the knowledge gathered with machine learning and data analyzes, a solid understanding of data visualization with Python is extremely important.The Heise webinar on 1.December mediates the topic in a practical and many examples in four hours.Participants learn the most important basics that are particularly suitable for data visualization and how to create clear graphics with the plotly tool tool.
In the webinar, the expert Wadim Wormsbecher explains why data should be visualized and how to represent explorative, exploratory and geographical data analyzes with Plotly.For every type of graphic preparation, he provides tips and best practices and shows how to avoid frequently occurring stumbling blocks and master challenges.Throughout the webinar, he is available to the participants for questions and convey the knowledge in a playful way, with many examples and exercises.Participation in the webinar costs € 139, the subsequent access to the recording and the materials is included.
Machine Learning in practice: Heise's webinar series
In November and December, Heise with the Machine Learning webinar series offers a practical introduction to the most important tools and techniques in the field of machine learning.On a total of five dates, participants can train themselves in the four-hour online training with many exercises and practical relevance.
10.November: Machine Learning with Python: Basics, tools and techniques
17.November: Deep Learning with Tensorflow and Keras
24.November: Natural Language Processing with Keras and Transformers
December 1: Data visualization with Python in practice
9.December: Machine Learning in Production
The webinars have a term of four hours each and always take place from 9 a.m. to 1 p.m..If you book all five appointments, you can save vigorously with a discounted combination ticket for € 429 compared to the retail sale.All participants can not only look forward to a lot of practice and interaction, but also receive all records and materials available afterwards.For more information, see the website of the webinar series.
(BBO)
