People always talk always about shopping & happiness. Now I can understand :’) Just booked for the upcoming weeks for my education “Workshop: Deep Learning für Natural Language Processing (NLP)” && “iSAQB Certified Professional for Software Architecture – Foundation Level (CPSA-FL)” <3 #neverstoplearning
nota bene: and HSK1 for Mandarin will be tackled as well!
A note before the actual post: a week ago, while proofreading I’ve noticed that some of the following statements, which are meant truly neutral, could and would leave a stale aftertaste. That’s definitely not the intention; it’s more a snapshot of the current state (like for a chronicle). On the other hand: if I would censor it more, I can trash as well the whole post. Because ten thousands of texts were already written about the curent state of human society and the impact of Covid-19.
So, read it with a pinch of salt: we are lucky to be healthy and that we don’t suffer from more harsh conditions.
More than two months ago Sars-CoV-2 -induced infections scaled up in Germany and hit us without much preparation. Us includes me, my family, my workplace, society at all.
Time to reveal the plans of the supervised education for 2019: today my course from the “Volkshochschule” (adult evening school?) for “machine learning with Python” starts (you remember the course for advanced Python I did in May 2018 and which I backep up by doing exercises for Project Euler and “365 days coding challenge”? link ). I am really, really looking forward and am eager to learn 🙂
After this is finished in June my course for basic introduction to Mandarin will start (not a ‘computer’ language, but an interesting one) in addition to my daily Duolingo-exercises for this upcoming lingua franca (from my POV). Will be a challenge, especially the spoken version with its intonations.
Last but not least: on week ago I participated in a course as first responder for emergencies (at work).
And I still plan to do a professional certified course for software architecture (the big picture) in autumn.
edit: repo with a apart of the notes from the machine learning with Python-course are at Github.