--- title: 'Digest #2020.01.27 – Which Algorithm Should I Use?' description: Using AI to Enrich Digital Maps – Your commute may now be saved from the road closures, private routes and diversions! Researchers at MIT and Qatar Computing Research Institute (QCRI) have invented a model that could improve GPS navigation on digital maps.An interesting read about the research combining convolutional neural network (CNN) […] url: https://canonical.com/blog/digest-2020-01-27-which-algorithm-should-i-use?format=md --- 1. [Blog](https://canonical.com/blog) 2. Article --- [anaqvi](https://canonical.com/blog/author/anaqvi "More about anaqvi") 27 January 2020 # Digest #2020.01.27 – Which Algorithm Should I Use? [Kubeflow News](https://canonical.com/blog/tag/kubeflow-news) --- Share the article -Fossbytes- [Using AI to Enrich Digital Maps](http://news.mit.edu/2020/artificial-intelligence-digital-maps-0123) – Your commute may now be saved from the road closures, private routes and diversions! Researchers at MIT and Qatar Computing Research Institute (QCRI) have invented a model that could improve GPS navigation on digital maps.An interesting read about the research combining convolutional neural network (CNN) and graph neural network (GNN) to tag road features and predict the types of roads, lanes and obstruction along the route. [Solving Problems with TensorFlow](https://towardsdatascience.com/deep-learning-solving-problems-with-tensorflow-3722b8eeccb1) – A good article on solving practical problems with TensorFlow. The article walks through solving an optimization problem, solving a linear regression problem, and a “Hello World” of Deep Learning classification projects with the MNIST Dataset. Check out for an interesting “getting started with tensorFlow” and train a neural network with visual representations and some fun. [Which Machine Learning Algorithm Should I Use?](https://docs.microsoft.com/en-us/azure/machine-learning/how-to-select-algorithms) – One of the most common questions in the machine learning space; people are often confused about their ML needs and do not know the right qualifying questions to ask. The Microsoft team provides a walkthrough on how to decide the answer to which machine algorithm to use. It usually comes down to what are the requirements for your scenario? And, what do you want to do with your data?  There are some neat cheat sheets for reference. [Data Sampling Methods for Imbalanced Classification](https://machinelearningmastery.com/data-sampling-methods-for-imbalanced-classification/) – At some point we’ve all probably been thrown off by over-optimistic performance of machine learning solutions. The author walks through the challenges of machine learning with imbalanced classifications, a tutorial on sampling techniques to handle skewed class distributions, and explanations of undersampling, oversampling and a hybrid of both. A well-put tutorial for learning! [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