Stack Exchange also adopts a cascade pattern to identify spam. It starts with identifying users that post too often to be humanly possible. The spammer is then slapped with an HTTP 429 Error (Too Many Requests) and blocked or rate-limited....
If you have a background in machine learning, you can become a Machine Learning Engineer, Natural Language Processing (NLP) Scientist,Data Scientist, Human-Centered Machine Learning Designer or Business Intelligence Developer. In recent years, the demand for machine learning specialists has risen, wit...
My Machine Learning-related stuff! My Apache Zeppelin and Jupyter notebooks, and more! For a series of valuable data analysis and machine learning-related stuff in general ML Resources(with an emphasis on Python) This document attempts to develop a curated list of Machine Learning resources, inclu...
Gamified: Like on Stack Exchange (opens in new tab) sites, data contributors can earn points and badges when other contributors validate their contributions. This proposal relies solely on the willingness of contributors to collaborate for a common good—the betterment of the model. Predicti...
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit,
Off-policy case | Artificial Intelligence Stack Exchange 16. Why do we need “Deep” Q learning? Simple Q learning is great. It solves the problem on a smaller scale, but on a larger scale, it fails. Imagine if the environment has 1000 states and 1000 actions per state. We will ...
Our objective here is to see how we can analyze the past answers of a user, to predict questions that he may answer in future. May Stack Exchange’s current recommendation logic may work better than ours, but that won’t prevent us from helping them for our own learning purposes ;) ...
If you want to go right to feeding your data into a machine learning algorithm in order to attempt building a model, you probably need your data in a more appropriate representation. In the Python ecosystem, that would generally be a Numpy ndarray (or matrix). This Stack Overflow discussion...
There are a lot of machine learning practitioners who are interested in finding out how long it takes to train a machine learning model. As an example, below is the question that was asked in the Stack Exchange forum. “I’d like to know ahead of time if my training will t...
The support for Machine Learning Server (previously known as R Server) ended on July 1, 2022. For more information, see What's happening to Machine Learning Server? This article describes known problems or limitations with the Python and R components that are provided in SQL Server Mac...