Python-Schulungen : Machine Learning with Deep Learning

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"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

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"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

Die Schulungen und Kurse von Bodenseo finden meistens in Gaienhofen/Hemmenhofen am Bodensee in der Nähe von Stein am Rhein, also an der Grenze zur Schweiz, statt. Aber Bodenseo veranstaltet auch offene Kurse in Zürich, Basel und Schaffhausen und anderen Städten in Schweiz.

Ebenso können wir firmeninterne Kurse auch speziell nach Ihren Wünschen in Ihrer Firma oder Ihrem Institut abhalten.

Machine Learning with Deep Learning

Dieser Kurs wird seit März 2020 als online-Schulung durchgeführt. Weitere Infos!

This intensive course provides an excellent introduction to Machine Learning as well as Deep Learning. Delegates learn about both supervised and unsupervised learning and get familiar with the entire process, starting from obtaining and preprocessing data, through building and evaluating Machine Learning models. Participants have the opportunity to practice in many useful exercises and learn how to use scikit-learn and keras Python libraries.

Teilnehmerkreis:
Delegates should have some programming experience. No prior experience with Python, Machine Learning, Deep Learning or Data Science is required.

Folgende Themen sind Bestandteil dieser Schulung:

Toolset: IPython, Jupyter Notebook, Libraries, Alternative Toolsets
Python Crash Course
Data Visualization with matplotlib
Data Processing with Pandas
Case Study - Introduction to Machine Learning
Supervised Learning

Underfitting, overfitting, sweet spot
Linear Models and Regularization
Decision Trees, Random Forests, Boosting
kNN
Kernelized SVM
Regression, classification
Evaluation and metrics
Cross Validation
Grid Search
One Hot Encoding and Feature Engineering
3 methods for Automatic Feature Selection
Algorithm Chains and Pipelines

Unsupervised Learning

Principal Component Analysis, Non-negative Matrix Factorization, t-SNE
Clustering
DBSCAN, k-Means
Hierarchical Clustering

Deep Learning

Neural Networks
Feedforward and Convolutional Neural Networks
Activation Functions
Recurrent Neural Networks and LSTM
Keras Library and Alternative Toolsets

Dozent:

Kurs-Termine:

Preise pro Tag für diesen Kurs:

Hemmenhofen am Bodensee	419,- € ohne MwSt. in unmittelbarer Nähe von Konstanz und Zürich
Nürnberg	439,- € ohne MwSt.
Stuttgart, Karlsruhe, Freiburg, Ulm	429,- € ohne MwSt.
Berlin	439,- € ohne MwSt.
München, Frankfurt, Köln	439,- € ohne MwSt.
Unser bestes Angebot:	514,- € ohne MwSt. Preis pro Kurstag inklusive Übernachtung mit Vollpension im 4-Sterne Hotel Hoeri direkt am Bodensee mit Spa, Sauna, Fitness-Bereich, Swimming-Pool und eigenem Strand am See

Achtung: