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- Overview of Machine Learning - Python Machine Learning
pythonmachinelearning.pro/overview-of-machine-learningArtificial intelligence (AI) is a very broad field in computer science whose goal is to build an entity that can perceive and reason about the world as well as, or better than, humans can. Along comes machine learning, backed by statistics, calculus, linear..
- Engineering best practices for Machine Learning
se-ml.github.io/practicesEngineering best practices for Machine Learning The list below gathers a set of engineering best practices for developing software systems with machine learning (ML) components. The practices are labeled with their difficulty, their effects, and the require..
- Deep Learning Tutorial: Perceptrons to Machine Learning Algorithms | Toptal
toptal.com/machine-learning/an-introduction-to-deep-learning-from-perceptrons-to-deep-networksAs a final deep learning architecture, let’s take a look at convolutional networks, a particularly interesting and special class of feedforward networks that are very well-suited to image recognition. The aim of this Java deep learning tutorial was to give ..
- Using Ruby Machine Learning to Find Paris Hilton Quotes
web.archive.org/web/20160414072324/datamelon.io/blog/2015/using-ruby-machine-learning-id-paris-hilton-quotes.htmlApr 2016 - We have had great luck with the “Classifier” gem. Once you have installed the gem via gem install classifier , you can run the code below to classify quotes: gem install classifier , you can run the code below to classify quotes: require 'classifier' robot_..
visualml.ioAnd what's even better: we've got interactive, 2-dimensional visualizations of all classical machine learning algorithms, ready for use — why not take it for a spin straight away?Installing JSMLT is really, really easy! It's available on npm, so to use it i..
- 5 Data Science, AI and Machine Learning Podcasts to Listen to Now | by Courtney Perigo | Towards Data Science
towardsdatascience.com/5-data-science-ai-and-machine-learning-podcasts-to-listen-to-now-e5078b18d184?gi=68bd665eff4eIn this blog, I share with you some of my favorite AI and machine learning podcasts, so that you, too, can stay up-to-date on the latest trends in the field. With that, enjoy the five data science, AI and machine learning podcasts you need to listen to NOW!..
- Deploying and Hosting a Machine Learning Model with FastAPI and Heroku | TestDriven.io
testdriven.io/blog/fastapi-machine-learningIn this tutorial, we'll look at how to deploy a machine learning model, for predicting stock prices, into production on Heroku as a RESTful API using FastAPI. This tutorial looked at how to deploy a machine learning model, for predicting stock prices, into ..
- Microsoft Azure Machine Learning Studio (classic)
studio.azureml.netUpdates Simplify and accelerate AI for the entire data science team with Azure Machine Learning designer At Microsoft Ignite, we announced the general availability of Azure Machine Learning designer, the drag-and-drop workflow capability in Azure Machin..
- Bagging, boosting and stacking in machine learning - Cross Validated
stats.stackexchange.com/questions/18891/bagging-boosting-and-stacking-in-machine-learningAll three are so-called "meta-algorithms": approaches to combine several machine learning techniques into one predictive model in order to decrease the variance (bagging), bias (boosting) or improving the predictive force (stacking alias ensemble). Bagging ..