In this first article of the series, we present an over of Google AI Platform, exploring the services available to modern data science. Google Cloud AI Platform: Hyper-Accessible AI & Machine Learning
For those of you not familiar with Google Cloud, the Google Cloud Platform (GCP), is a suite of cloud-based computing services designed to support a range of common use cases; from hosting containerized applications, such as a social media app, to massive-scale data analytics platforms, and the application of advanced machine learning and AI.
Google Cloud consists of a set of physical assets, such as computers and hard disk drives, and virtual resources, such as virtual machines (VMs), that are contained in Google’s data centers around the globe.
Google Cloud_ (from Get Started with Google Cloud)_
First launched in April 2008, Google Cloud runs on the same infrastructure that Google uses internally for its end-user products, including Google Search, Gmail, file storage, and YouTube. This global network is a feat of engineering in itself, and Google has a fascinating, interactive showcase you can explore.
Google Cloud is one of three major cloud providers currently in the marketplace, the other two being Microsofts Azure and Amazon Web Services (AWS).
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7 Types of Data Bias in Machine Learning. Data bias can occur in a range of areas, from human reporting and selection bias to algorithmic and interpretation bias.
Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant
In this article, I clarify the various roles of the data scientist, and how data science compares and overlaps with related fields such as machine learning, deep learning, AI, statistics, IoT, operations research, and applied mathematics.
Artificial Intelligence, Machine Learning, and Data Science are amongst a few terms that have become extremely popular amongst professionals in almost all the fields.