ml : Machine Learning from Data Preparation to Deep Learning

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This course is run in German as well: Maschinelles Lernen von der Datenaufbereitung bis zum Deep Learning

"Much of what we do with machine learning happens beneath the surface. Machine learning drives our algorithms for demand forecasting, product search ranking, product and deals recommendations, merchandising placements, fraud detection, translations, and much more. Though less visible, much of the impact of machine learning will be of this type — quietly but meaningfully improving core operations.", Jeff Bezos

© Bernd Klein

"Everything that civilisation has to offer is a product of human intelligence; we cannot predict what we might achieve when this intelligence is magnified by the tools that AI may provide, but the eradication of war, disease, and poverty would be high on anyone’s list. Success in creating AI would be the biggest event in human history. Unfortunately, it might also be the last.", Stephen Hawking

All our courses are tailored to meet your expectations and are conveniently scheduled and delivered at Lake Constance or the location of your choice, if you prefer onsite training. We offer onsite training all over Europe, especially in Germany, Switzerland, Austria, Luxembourg, Italy, the Netherlands, France, England and the UK. Covering cities like Munich, Stuttgart, Frankfurt, Saarbrücken, Zürich, Bern, Basel, Luzern, Bregenz, Strasbourg, Paris, Rome and London.

Machine Learning from Data Preparation to Deep Learning

This course has been held as an online training course since March 2020. Further Information!

This intensive course is an excellent introduction to machine learning. It covers in detail the different sub-areas of machine learning, supervised learning, unsupervised learning and reinforcement learning. Each method is explained from the ground up using simple examples that are essential for understanding the process at hand and only require knowledge of basic Python. Then the methods are worked on in a contemporary way with the (auxiliary) modules NumPy, pandas, Matplotlib and the ML library sklearn. By optimizing the examples, the participant learns the importance of hyperparameters and combined approaches of ML using ensemble learning as an example.

Target Group:
Participants should have some general programming experience, preferably with a basic knowledge of Python. Prior knowledge of Python subtleties, machine learning, or data science is not required.

Our other ML-Courses:

Content:

Toolset: IPython, Jupyter Notebook, Libraries
Python Auffrischung
Datenvisualisierung mit Matplotlib
Einführung in Maschinelles Lernen und seine Unterbereiche
Kurze Einführung in NumPy
Kurze Einführung in Pandas
Kurze Einführung in Matplotlib
Datenvorbereitung für ML
Überwachtes Lernen

Einfache Regressionsverfahren
Multidimensionale Regression
Binäre Klassifikatoren
Nächste-Nachbarn Klassifikation
Fehlerbeurteilung
Perceptron
Entscheidungbäume und Zufallswälder (Random Forests)
Neuronale Netze
Backpropagation von Grund auf
sklearn supervised Algorithmen (KN, MPL...)

Unüberwachtes Lernen

Clustering
DBSCAN
k-Means Algorithmus

Bestärkendes Lernen

Computer-Lernbeispiel für das Spiel TicTacToe

Lecturer: Philip Klein, Dr. Konrad Wienands

Dates:

From Mon, 7th Sep, 2026 until Fri, 11th Sep, 2026 (5 days)
From Mon, 19th Oct, 2026 until Fri, 23rd Oct, 2026 (5 days)
From Mon, 30th Nov, 2026 until Fri, 4th Dec, 2026 (5 days)
From Mon, 8th Mar, 2027 until Fri, 12th Mar, 2027 (5 days)
From Mon, 10th May, 2027 until Fri, 14th May, 2027 (5 days)
From Mon, 7th Jun, 2027 until Fri, 11th Jun, 2027 (5 days)

Duration:
5 days

Prices for this ML course per day:

ONLINE:: €449 per day (exclusive of VAT)
Lake Constance, Hemmenhofen, Germany:: €449 per day (exclusive of VAT)
plus € 139 for full board and lodging in 4 star hotel
Hamburg, Munich, Frankfurt, Berlin (Germany):: €482 per day (exclusive of VAT)
Zurich and Geneva (Switzerland):: £482 per day (exclusive of VAT)

Attention: