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 in Canada, and all over Europe, especially in Germany, Switzerland, Austria, Luxembourg, Italy, the Netherlands and England and the UK. Covering cities like Munich, Stuttgart, Frankfurt, Saarbrücken, Zürich, Bern, Basel, Luzern, Bregenz, Strasbourg, Paris, Rhome 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, 12th Aug, 2024 until Fri, 16th Aug, 2024 (5 days)
From Mon, 9th Sep, 2024 until Fri, 13th Sep, 2024 (5 days)
From Mon, 14th Oct, 2024 until Fri, 18th Oct, 2024 (5 days)
From Mon, 25th Nov, 2024 until Fri, 29th Nov, 2024 (5 days)
From Mon, 9th Dec, 2024 until Fri, 13th Dec, 2024 (5 days)
From Mon, 20th Jan, 2025 until Fri, 24th Jan, 2025 (5 days)

Duration:
5 days

Prices for this ML course per day:

ONLINE:: €449 per day (exclusive of VAT)
Toronto, Canada:: $633 per day (exclusive of HST)
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: