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It aims to shorten the systems development life cycle and provide continuous delivery with high software quality.</p></div></div><div class="col col--6"><div class="text--center"><a href="/docs/category/machine-learning-ai-and-computer-vision"><img class="featureJpg_clrz" src="/img/ml.png"></a></div><div class="text--center padding-horiz--md"><h2>ML, AI and Computer Vision</h2><p>MLOps (or AIOps) workflows use DevOps principles to provide ML model prediction services based on the collected data - e.g. object detection, classification and segmentation in computer vision applications.</p></div></div><div class="col col--6"><div class="text--center"><a href="/docs/category/automation-deep-vision-and-robotics"><img class="featureJpg_clrz" src="/img/ml.png"></a></div><div class="text--center padding-horiz--md"><h2>Automation, Deep Vision and Robotics</h2><p>The Internet of things (IoT) describes physical sensors that connect and exchange data. AI allows us to interpret the collected data and automate processes.</p></div></div></div></div></section></main><header class="hero hero--primary heroBanner_qdFl"><div class="container"><p class="hero__title"><a style="color:white" href="/docs/intro">Latest Articles</a></p><div><a style="color:white" href="/docs/IoT-and-Machine-Learning/ML/2023-09-23--yolo8-listen/2023-09-23"><p>Audio Classification with Computer Vision</p></a><a style="color:white" href="/docs/IoT-and-Machine-Learning/ML/2023-09-19--cvat-computer-vision-annotation-tool/2023-09-19"><p>Computer Vision Annotation Tool (CVAT)</p></a><a style="color:white" href="/docs/IoT-and-Machine-Learning/ML/2023-09-17--yolo8-nightshift/2023-09-17"><p>Training an YOLOv8 Object Tracker for RGB/Thermal Cameras</p></a><a style="color:white" href="/docs/IoT-and-Machine-Learning/ML/2023-09-01--yolo-i-know-flowers/2023-09-01"><p>PyTorch Image Classifier with YOLOv8 - Model Comparison</p></a><a style="color:white" href="/docs/IoT-and-Machine-Learning/ML/2023-08-01-tensorflow-i-know-flowers-intro/2023-08-01"><p>Tensorflow Image Classifier - Model Comparison</p></a><a style="color:white" href="/docs/IoT-and-Machine-Learning/AIOps/2023-06-18-automl-with-autogluon-tabular-data/2023-06-18"><p>AutoML with AutoGluon</p></a><a style="color:white" href="/docs/IoT-and-Machine-Learning/ML/2023-04-19-tensorflow-natural-language-processing/2023-04-19"><p>(Re) Introduction to Tensorflow Natural Language Processing 2023</p></a><a style="color:white" href="/docs/Automation_and_Robotics/Home_Automation/2023-04-18--home-assistant-node-red-iobroker-docker/2023-04-18"><p>Home Assistant, OpenHAB, Node-RED, ioBroker, MotionEye, ZoneMinder, Frigate, iSpy Agent, Kerberos Containerized (Docker)</p></a><a style="color:white" href="/docs/IoT-and-Machine-Learning/ML/2023-04-09-principal-component-analysis/2023-04-09"><p>Dimensionality Reduction in Data Pre-processing</p></a><a style="color:white" href="/docs/IoT-and-Machine-Learning/ML/2023-02-19-tensorflow-introduction/2023-02-19"><p>Tensorflow 2 - An (Re)Introduction 2023</p></a><a style="color:white" href="/docs/IoT-and-Machine-Learning/ML/2023-02-14-keras-introduction/2023-02-14"><p>Keras for Tensorflow - An (Re)Introduction 2023</p></a><a style="color:white" href="/docs/DevOps/Elasticsearch/2023-02-10--meili-rusty-elastic-docker/2023-02-10"><p>Introduction into MeiLi Search</p></a><a style="color:white" href="/docs/IoT-and-Machine-Learning/AIOps/2023-02-09-mlflow-introduction/2023-02-09"><p>MLflow 2.1 Introduction</p></a><a style="color:white" href="/docs/IoT-and-Machine-Learning/AIOps/2023-02-01-apache-airflow-introduction/2023-02-01"><p>Apache Airflow Introduction</p></a><a style="color:white" href="/docs/IoT-and-Machine-Learning/AIOps/2023-01-22-python-ray-introduction/2023-01-22"><p>Python Ray Basic Concepts</p></a><a style="color:white" href="/docs/IoT-and-Machine-Learning/ML/2023-01-13-yolov7_data_conversion/2023-01-13"><p>YOLOv7 Custom Data &amp; Label Conversion</p></a><a style="color:white" href="/docs/IoT-and-Machine-Learning/ML/2022-12-28-tf-gan-image-generator/2022-12-28"><p>Deep Convolutional Generative Adversarial Network</p></a><a style="color:white" href="/docs/IoT-and-Machine-Learning/ML/2022-12-10-tf-breast-cancer-classification-part1/2022-12-10"><p>Breast Histopathology Image Segmentation</p></a><a style="color:white" href="/docs/DevOps/Kubernetes/2022-11-19--k3s-air-gapped-kubernetes/2022-11-19"><p>Kubernetes Beyond the Edge</p></a></div></div></header></div><footer class="footer footer--dark"><div class="container container-fluid"><div class="row footer__links"><div class="col footer__col"><div class="footer__title">Research</div><ul class="footer__items clean-list"><li class="footer__item"><a class="footer__link-item" href="/docs/intro">Notebook</a></li><li class="footer__item"><a class="footer__link-item" href="/docs/tags">Tags</a></li><li class="footer__item"><a class="footer__link-item" href="/Curriculum-Vitae">CV</a></li></ul></div><div class="col footer__col"><div class="footer__title">Social</div><ul class="footer__items clean-list"><li class="footer__item"><a href="https://www.linkedin.com/in/mike-polinowski-6396ba121/" target="_blank" rel="noopener noreferrer" class="footer__link-item">LinkedIn<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li><li class="footer__item"><a href="https://twitter.com/MikePolinowski" target="_blank" rel="noopener noreferrer" class="footer__link-item">Twitter<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li><li class="footer__item"><a href="https://www.flickr.com/people/149680084@N06/" target="_blank" rel="noopener noreferrer" class="footer__link-item">Flickr<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li></ul></div><div class="col footer__col"><div class="footer__title">More</div><ul class="footer__items clean-list"><li class="footer__item"><a class="footer__link-item" href="/blog">Blog</a></li><li class="footer__item"><a href="https://github.com/mpolinowski" target="_blank" rel="noopener noreferrer" class="footer__link-item">GitHub<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li></ul></div></div><div class="footer__bottom text--center"><div class="footer__copyright">Copyright © 2024 Mike Polinowski, INSTAR Deutschland GmbH, Shenzhen - China.</div></div></div></footer></div>
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