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Machine learning developers face the challenge of working with raw text data sooner or later. In order to master the sub-area of natural language processing in a practical way, a visit is worthwhile of the four-hour webinar on the topic on November 24th. Participants learn the most important basics, techniques and best practices using the example of the Keras and Transformers tools.
In the webinar, machine learning expert Thomas Timmermann explains how to classify texts with CNNs and extract information from them with the spaCy library. It shows in detailed practical examples how modern natural language processing works and how the open source tool Huggingface-Transformers can be used to apply the latest transformer models for NLP projects. During the entire webinar, he is available to answer questions from the participants and impart knowledge in a playful way, with many examples and exercises. The participation in the webinar costs 139 €, the subsequent access to the recording and the materials is included.
Machine learning in practice: The Heise webinar series
In November and December, Heise offers the Webinar series machine learning in practice a practical introduction to the most important tools and techniques in the field of machine learning. On a total of five dates, participants can continue their education in the four-hour online training with many exercises and practical relevance.
The webinars have a duration of four hours and always take place from 9 a.m. to 1 p.m. If you book all five appointments at the same time, you can save a lot with a discounted combination ticket for € 429 compared to individual sales. All participants can not only look forward to a lot of practice and interaction, but also receive all records and materials afterwards. additional Information can be found on the webinar series website.
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