--- title: 'Digest #2019.09.30 – Making the Most of Machine Learning' description: Understanding Fairness in Machine Learning – This article is a great reminder and defense for the statement, “the data speaks for itself.” Biases in training models affect the results of analyses. It is essential to understand how our models make decisions to tackle this bias by adding more balanced training data. Knowledge of biases in […] url: https://canonical.com/blog/digest-2019-09-30-making-the-most-of-machine-learning?format=md --- 1. [Blog](https://canonical.com/blog) 2. Article --- [anaqvi](https://canonical.com/blog/author/anaqvi "More about anaqvi") 30 September 2019 # Digest #2019.09.30 – Making the Most of Machine Learning [Kubeflow News](https://canonical.com/blog/tag/kubeflow-news) --- Share the article [Understanding Fairness in Machine Learning](https://cloud.google.com/blog/products/ai-machine-learning/building-ml-models-for-everyone-understanding-fairness-in-machine-learning) – This article is a great reminder and defense for the statement, “the data speaks for itself.” Biases in training models affect the results of analyses. It is essential to understand how our models make decisions to tackle this bias by adding more balanced training data. Knowledge of biases in our training models also help in adjusting our training loss function or adjusting prediction thresholds to account for the type of fairness we want to work towards. [Ways in which AI and ML are improving endpoint security](https://www.forbes.com/sites/louiscolumbus/2019/09/25/10-ways-ai-and-machine-learning-are-improving-endpoint-security/#632dfd8e2db0) – Take a look at the predicted billions of dollars that will be pouring in to improve cybersecurity. “Cloud platforms are enabling AI and machine learning-based endpoint security control applications to be more adaptive to the proliferating types of endpoints and corresponding threats.” The article sheds interesting light on how AI and ML can revolutionize the field of cybersecurity and improve endpoint security. [AI gears up for data analysis](https://physicsworld.com/a/ai-gears-up-for-data-analysis-making-the-most-of-machine-learning/) – The article explores how the use of Machine Learning and AI can help scientific research with the potential to improve data analyses speeds and accuracy of results dramatically. Machine learning can change scientific experiments, improve results, and significantly reduce production failures in different industries. “By looking at the long-term patterns [in the signals], you can actually spot imminent failures. One example could be a gradual increase in motor operating temperature, which may indicate that an actuation unit is on its way to overheating.” While investing in AI and ML and gathering data is resource-consuming, the returns and rewards prove to be well worth it. [Get in touch Interested in running Ubuntu in your organization?](https://ubuntu.com/about/contact-us/form) ## Sign up for our newsletter Get the latest Canonical news and updates in your inbox. Work email: \*I agree to receive information about Canonical's products and services. By submitting this form, I confirm that I have read and agree to [Canonical's Privacy Policy](https://canonical.com/legal/dataprivacy). Sign up ## Share on --- ## Related posts [### Kubeflow operations guide](https://canonical.com/blog/kubeflow-operations-guide) Operating MLOps stacks alike Kubeflow in an increasingly multi-cloud world will be a key topic as this market and Kubernetes adoption grow. Kubeflow operations webinar To... [Andreea Munteanu](https://canonical.com/blog/author/munteanuandreea) 17 March 2021 [### Latest community videos](https://canonical.com/blog/latest-kubeflow-videos) MLOps community jewels The MLOps community continues to grow and gift us with great content and discussions around the topic! Here are a couple of interesting discussions – a... [Rui Vasconcelos](https://canonical.com/blog/author/ruivasconcelos) 8 March 2021 [### Still figuring out what is Kubeflow?](https://canonical.com/blog/kubeflow-learn-understand) Kubeflow has become quite popular in the MLOps community as the tool that enables data science teams to automate their workflows from data preprocessing to model deployment on... [Andreea Munteanu](https://canonical.com/blog/author/munteanuandreea) 22 February 2021 [### SageMaker and Kubeflow: end-to-end ML workflows](https://canonical.com/blog/sagemaker-and-kubeflow) In June 2020, AWS introduced SageMaker components for Kubeflow. 6 months later, Antje Barth, Sr. developer advocate @AWS, presents how to build end-to-end ML workflows with... [Rui Vasconcelos](https://canonical.com/blog/author/ruivasconcelos) 11 February 2021