--- title: 'Digest #2019.09.09 – Machine Learning on a Budget' description: How To Develop Successful Machine Learning Projects On A Budget – A quick journey through some of the principles for a successful AI getting started project. The article includes an example of how to go from nothing to something – from data pipeline creation to models in production. The primary focus is on a model […] url: https://canonical.com/blog/digest-2019-09-09?format=md --- 1. [Blog](https://canonical.com/blog) 2. Article --- [Carmine Rimi](https://canonical.com/blog/author/carmine-rimi "More about Carmine Rimi") 9 September 2019 # Digest #2019.09.09 – Machine Learning on a Budget [Kubeflow News](https://canonical.com/blog/tag/kubeflow-news) --- Share the article * [How To Develop Successful Machine Learning Projects On A Budget](https://www.forbes.com/sites/theyec/2019/09/03/how-to-develop-successful-machine-learning-projects-on-a-budget/) – A quick journey through some of the principles for a successful AI getting started project. The article includes an example of how to go from nothing to something – from data pipeline creation to models in production. The primary focus is on a model for hiring and tools you could use, like Kubeflow. How much money will it take to get something off the ground? Read on .. * [New homepage and improved collaboration features for AI Hub](https://cloud.google.com/blog/products/ai-machine-learning/new-homepage-and-improved-collaboration-features-for-ai-hub) – Google’s AI Hub is powered by Kubeflow. This announcement discusses new features added to AI Hub. Although still in beta, AI Hub provides a view into how Kubeflow can be leveraged on prem. Do you have platform engineers building your corporate AI toolkit? Read this article to see what Google is doing. Advanced multi-user use cases, new machine learning taxonomy, asset favoriting, and public data sets or solutions – including a TensorRT-optimized BERT notebook from Nvidia. * [Three pitfalls to avoid in machine learning](https://www.nature.com/articles/d41586-019-02307-y) – As scientists from myriad fields rush to perform algorithmic analyses, Google’s Patrick Riley calls for clear standards in research and reporting. Machine-learning tools can turn up fool’s gold — false positives, blind alleys and mistakes. Read this article to learn about three problems in machine-learning analyses that Google faced, and solved, in the [Google Accelerated Science team](http://g.co/research/gas). * Use case spotlight: [Little Ripper deploys croc-spotting AI drones](https://www.zdnet.com/article/little-ripper-deploys-croc-spotting-ai-drones/) – A different take on how AI is saving lives. To help keep beachgoers safe from crocodiles 🐊 in the water and on land, the same AI drone technology that the Little Ripper Group used for its shark 🦈 detection drones is now being used to spot crocodiles in Queensland. In additino to spotting wildlife, this technology is used to help swimmers. Last summer, [51 drones were deployed](https://www.zdnet.com/article/surf-life-saving-australia-extends-drone-operations-this-summer/) around Australia to help spot rips and swimmers in distress. [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