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#machine-learning
You must have faced flight delays ever in your life if you are a frequent flight traveller. This might have caused you a lot of trouble, especially when you are running on a tight or busy schedule. To…
In this tutorial, we'll will learn to create, train, and query a simple machine learning model (predictor) with Mindsdb in Python. You can check this tutorial for a more generic approach to implementi…
Amazon SageMaker Canvas now supports mathematical functions and operators for richer data exploration, allowing you to define new features in your data. SageMaker Canvas is a visual point-and-click service that enables business analysts to …
Introduction You must've visited websites like Amazon, Netflix, and Prime Video and would've noticed that there is a separate recommendation section on these websites as shown in the images below. T…
Why Encoding? Supervised machine learning is the task of extracting latent relationships present in data. Typically, this involves a set of values (the input features/variables) and a given target (or…
What is Machine Learning🤖: Machine Learning (ML) comes under the broader umbrella of Artificial Intelligence(AI) in which the model is trained on existing and then used for prediction of future event…
I just finnished a course in Machine Learning and Data Science from ZeroToMastery. You might have heard of them before. Highly recommend btw. Anyways, with just listening and coding along with the videos I figured I might evaluate my newly …
Introduction "Artificial Intelligence is the new Electricity"- Andrew Ng Machine Learning is an exciting branch of computer science that enables solutions to a lot of problems, one of its gems of it i…
A linear layer takes a set of inputs, and for each node in its layer it sums weights*inputs to calculate the node output. This output is then fed to the next layer (or is the network output if it's t…
The scope of an ML practitioner's duties stops after they have created an ideal ML model, regardless of whether they used the CRISP-DM technique or an AutoML methodology. The ML practitioner simply hands the model off to the various teams i…
