Für eine Vielzahl meiner Leser steht das aktuelle wirtschaftliche und soziale Leben aktuell weitestgehend still bzw. beschränkt sich auf das engste familiäre Umfeld.
Vielleicht ergibt sich also für den ein oder anderen jetzt eine passende Gelegenheit zur Weiterbildung: Online natürlich, um die geforderte soziale Distanz zu halten.
Sie finden insbesondere bei Udacity und Udemy eine schier endlose Anzahl von spannenden Programmen. Ich beschränke mich hier auf thematisch passende zu meiner Webseite und vor allem auf kostenlose Kurse (plus einem Special), um möglichst allen Lesern ein Angebot zu ermöglichen.
Ich wünsche Ihnen viel Erfolg beim Lernen, aber vor allem: Bleiben Sie gesund!
Self-Driving Fundamentals: Featuring Apollo by Baidu
Elements of AI
The main idea in this course is learning how to rapidly develop and test ideas by gathering massive amounts of customer and marketplace feedback. Many startups fail by not validating their ideas early on with real-life customers. In order to mitigate that, students will learn how to get out of the building and search for the real pain points and unmet needs of customers. Only with these can the entrepreneur find a proper solution and establish a suitable business model.
Building a startup is not simply building an execution plan for a business model that the entrepreneur thinks will work, but rather, a search for the actual business model itself.
How to Build a Startup
Product Design
AWS DeepRacer
Intro to Algorithms
Grundlagen Computer Science
Machine learning brings together computer science and statistics to harness that predictive power. It’s a must-have skill for all aspiring data analysts and data scientists, or anyone else who wants to wrestle all that raw data into refined trends and predictions.
This is a class that will teach you the end-to-end process of investigating data through a machine learning lens. It will teach you how to extract and identify useful features that best represent your data, a few of the most important machine learning algorithms, and how to evaluate the performance of your machine learning algorithms.
Introduction to Machine Learning
- Posing a question
- Wrangling your data into a format you can use and fixing any problems with it
- Exploring the data, finding patterns in it, and building your intuition about it
- Drawing conclusions and/or making predictions
- Communicating your findings
You’ll also learn how to use the Python libraries NumPy, Pandas, and Matplotlib to write code that’s cleaner, more concise, and runs faster.
Intro to Data Analysis
Introduction to TensorFlow Lite
AI for Business Leaders