{"id":832,"date":"2023-02-06T15:09:56","date_gmt":"2023-02-06T14:09:56","guid":{"rendered":"https:\/\/we-ai.de\/?page_id=832"},"modified":"2023-02-07T13:18:32","modified_gmt":"2023-02-07T12:18:32","slug":"ki-und-maschinelles-lernen-english","status":"publish","type":"page","link":"https:\/\/we-ai.de\/","title":{"rendered":"AI and Machine Learning"},"content":{"rendered":"\n<div class=\"wp-block-columns has-2-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/we-ai.de\/wp-content\/uploads\/2023\/02\/word-cloud-opt_EN.svg\" alt=\"Machine Learning Inhouse-Training Webinar Data Science Neural Networks TensorFlow Keras Scikit-Learn Python Time Series Deep Learning Exercises Outlier Detection Artificial Intelligence Practical Elements Data Analysis Smartfactory Predictive Maintenance Ensemble Learning Matplotlib Seaborn Imputer Lazy-Learning Support Vector Machines Education Clustering Convolutional Neural Networks Feature Engineering Decision Trees Principal Component Analysis Auto-Encoder Data Mining Visualization Plotting Correlation Transformation Dimensionality Reduction Pre-Processing Cross Validation Training Modeling Heatmap Data Programming Robotics Feature Space Industry 4.0 Digital Health Class Activation Maps Regression Accuracy Mean Absolute Error Classification Estimator Prediction Encoding Supervised Learning Unsupervised Learning Reinforcement Learning Mean Squared Error Fully Connected DBSCAN CART Loss Optimization Regularization Overfitting Random Forest SVM PCA k-NN NumPy AI Pandas ANN CNN Recurrent Neural Networks RNN\" class=\"wp-image-608\"\/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p class=\"has-text-color\" style=\"color:#333333\"><strong>Machine learning<\/strong> is becoming increasingly important in today&#8217;s world. Time and again, there are innovations that are only possible with methods from the field of artificial intelligence and machine learning. The fields of application are very diverse:<\/p>\n\n\n\n<ul class=\"wp-block-list\" style=\"color:#333333\"><li>Industry 4.0 \/ Smartfactory<\/li><li>Logistics und Supply Chain Management<\/li><li>Predictive Maintenance<\/li><li>Customer analysis<\/li><\/ul>\n\n\n\n<p class=\"has-text-color\" style=\"color:#333333\">You too can benefit from the new possibilities of modeling data.<\/p>\n\n\n\n<p class=\"has-text-color\" style=\"color:#000000\">We offers webinars on machine learning as part of WeAI, as well as <a href=\"\/?page_id=611\ufeff\">Inhouse training<\/a> at your company. You will get an introduction to Python and learn about the relevant methods from decision trees to Convolutional Neural Networks.<\/p>\n<\/div>\n<\/div>\n\n\n\n<p class=\"classicmethods alignfull padright\">Machine learning is not new, but the pace of development is rapid. For many applications, however, classic machine learning methods are often better suited. Learn about the <strong>relevant methods<\/strong> and what fits best to your applications.<\/p>\n\n\n\n<p class=\"pythoncode alignfull padleft\">Our courses are very <strong>practical<\/strong>. We teach the algorithms and models both in theory, but also in practice with the free programming language <strong>Python<\/strong>. Python is easy to learn and all relevant frameworks are available in Python. So after the practical elements in the course, you can jump right in and start modeling your own data.<\/p>\n\n\n\n<p class=\"deeplearning alignfull padright\"><strong>Deep Learning<\/strong> offers the opportunity to tackle tasks that were unthinkable a few years ago. Learn about different types of neural networks for different tasks \u2013 from <strong>time series<\/strong> to <strong>image processing<\/strong>.<\/p>\n\n\n\n<p class=\"clustering alignfull padleft\">You want to find unusual behavior in data? With us, you will learn <strong>unsupervised learning<\/strong> techniques that will help you group your data and find <strong>outliers<\/strong>. If your data has many properties or features, we will show you how to compress the <strong>feature space<\/strong> to get meaningful groupings.<br><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Machine learning is becoming increasingly important in today&#8217;s world. Time and again, there are innovations that are only possible with methods from the field of artificial intelligence and machine learning. The fields of application are &hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"inline_featured_image":false,"footnotes":""},"class_list":["post-832","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/we-ai.de\/index.php?rest_route=\/wp\/v2\/pages\/832","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/we-ai.de\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/we-ai.de\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/we-ai.de\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/we-ai.de\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=832"}],"version-history":[{"count":3,"href":"https:\/\/we-ai.de\/index.php?rest_route=\/wp\/v2\/pages\/832\/revisions"}],"predecessor-version":[{"id":875,"href":"https:\/\/we-ai.de\/index.php?rest_route=\/wp\/v2\/pages\/832\/revisions\/875"}],"wp:attachment":[{"href":"https:\/\/we-ai.de\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=832"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}