Tag: Big data
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How to connect R to Google Sheets using googlesheets4
Posted on December 14, 2021, Level beginner Resource Length short
Manipulating data in sheets can be a tedious task, but if you have at least a bit of a programmer inside you, you can make your work with Google sheets much easier. How – you ask? By connecting R to Google sheets using the googlesheets4 package provided by tidyverse. By Zuzanna.
Tags cloud google big-data analytics
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How to build a powerful e-learning platform using Scala and Redis
Posted on December 9, 2021, Level beginner Resource Length medium
Never before has online learning been so accessible. Whether you want to discover more about cryptocurrency, sharpen your programming skills or even just learn a new language, the digital age has gifted everyone access to a phenomenal amount of content. However, over time e-learning has been viewed as just another digital commodity, where users expect all online content to be instantaneous. Speed remains crucial to performance, where any lags or delays in page loading time kills the user's experience. By Redis Growth Team.
Tags cloud miscellaneous scala java machine-learning big-data nosql
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How much has Quantum Computing actually advanced?
Posted on December 3, 2021, Level beginner Resource Length medium
Lately, it seems as though the path to quantum computing has more milestones than there are miles. Judging by headlines, each week holds another big announcement—an advance in qubit size, or another record-breaking investment. This is Q&A with the former chief architect of Google's Sycamore, John MartinisBy Dan Garisto.
Tags machine-learning big-data cloud servers distributed
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Creating ML model with Swift & CreateML
Posted on December 2, 2021, Level intermediate Resource Length medium
We know machine learning is so popular in mobile and desktop applications. Therefore we need basic ML skills to follow this trend. By Oguz Kayra.
Tags machine-learning big-data how-to swiftlang app-development
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Introduction to Numpy in python
Posted on November 25, 2021, Level beginner Resource Length long
NumPy is a valuable and efficient tool for dealing with large amounts of data. NumPy is quick; thus, it's easy to work with a vast amount of data. Data analysis libraries like NumPy, SciPy, Pandas, and others have exploded in popularity due to the data science revolution. By Sonia Jessica.
Tags python machine-learning big-data how-to learning
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I want to learn Artificial Intelligence and Machine Learning. Where can I start?
Posted on November 24, 2021, Level beginner Resource Length long
How I went from Apple Genius to startup failure to Uber Driver to Machine Learning engineer. An older article about journey to become ML expert by Daniel Bourke.
Tags cloud machine-learning big-data how-to learning
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What is artificial intelligence and how does the EU plan to regulate it?
Posted on November 12, 2021, Level beginner Resource Length short
Receiving a film recommendation on your favourite video-on-demand platform, unblocking your phone with your face, using autocorrect, and chatting with a chatbot: all of these are everyday examples of Artificial Intelligence (AI). Despite sounding futuristic, AI is already being used by European citizens daily. Its opportunities can be endless, but there are also risks on the table. By Aida Sanchez Alonso.
Tags big-data miscellaneous cio startups machine-learning learning
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101 machine learning algorithms for data science with cheat sheets
Posted on November 10, 2021, Level beginner Resource Length medium
Your one-stop shop for machine learning algorithms. These 101 algorithms are equipped with cheat sheets, tutorials, and explanations. By Nathan Piccini.
Tags big-data learning data-science analytics
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How to handle data duplication in data-heavy Kubernetes environments
Posted on October 2, 2021, Level intermediate Resource Length long
It's convenient to create a copy of your application with a copy of its state for each team. For example, you might want a separate database copy to test some significant schema changes or develop other disruptive operations like bulk insert/delete/update... By Augustinas Stirbis.
Tags data-science devops how-to learning big-data
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How to deploy a machine learning model with FastAPI, Docker and Github Actions
Posted on October 1, 2021, Level intermediate Resource Length long
You've just trained a model and you're happy with it because it performs well on your local cross-validation. Now is the time to put this model in production so that other teams within your organization can consume it and embed it in their applications. By Ahmed Besbes.
Tags machine-learning learning big-data devops agile
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Building your own Data Science infrastructure for Deep Learning
Posted on September 26, 2021, Level beginner Resource Length long
Build your own machine and install KNIME, Jupyter-Notebook and Tableau to be fully equipped for all data science and deep learning tasks. By Dennis Ganzaroli, Data Scientist and Head of Report & Data-Management in a big Telco in Switzerland.
Tags big-data learning data-science miscellaneous how-to
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How to deploy a pre-trained question and answer TensorFlow.js Model on App platform
Posted on September 21, 2021, Level beginner Resource Length long
TensorFlow.js, TensorFlow's JavaScript counterpart library for training, executing, and deploying machine learning models in the browser. In an attempt to make TensorFlow.js accessible to developers with limited or no ML experience, the library comes with several pre-trained models that work out of the box. By Juan De Dios Santos Rivera.
Tags machine-learning big-data cio miscellaneous