Analytics
Analytics | News, how-tos, features, reviews, and videos
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How to use .SD in the data.table package
See how to use the special .SD symbol in the R data.table package.
The best machine learning and deep learning libraries
TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models
The best distributed NoSQL databases
Highly flexible and hugely scalable, NoSQL databases offer a range of data models and consistency options to suit your application
Julia vs. Python: Which is best for data science?
Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job
TensorFlow 2 review: Easier machine learning
Now more platform than toolkit, TensorFlow has made strides in everything from ease of use to distributed training and deployment
The data lake is becoming the new data warehouse
Platforms like AWS Lake Formation and Delta Lake point toward a central hub for decision support and AI-driven decision automation
Time series analysis with KNIME and Spark
Train and evaluate a simple time series model using a random forest of regression trees and the NYC Yellow taxi data set
7 MySQL and MariaDB features you don’t want to miss
Look to these powerful MySQL and MariaDB features to boost your modern apps
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How to calculate month-over-month changes in R
See how to generate weekly and monthly reports in R including month-over-month, week-over-week, and year-over-year changes
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Get month-over-month comparisons in R
See various ways to calculate month-over-month, week-over-week, and year-over-year comparisons in R using dplyr and lubridate.
How dataops improves data, analytics, and machine learning
A dataops team will help you get the most out of your data. Here’s how people, processes, technology, and culture bring it all together
Supervised learning explained
Supervised learning turns labeled training data into a tuned predictive model
How to Slack from R
See how to send text messages and files directly from an R script to Slack with the slackr package
What is TensorFlow? The machine learning library explained
TensorFlow is a Python-friendly open source library for numerical computation that makes machine learning faster and easier
What’s new in TensorFlow 2.0
Google’s TensorFlow 2.0 is now available in beta, with a focus on improving performance, ease, compatibility, and continuity
10 new tricks your old database can do
You might be surprised by the powerful “NoSQL” features lurking in your old Oracle, SQL Server, MySQL, or PostgreSQL database
The best new features in Python 3.8
From a powerful new assignment syntax to under-the-hood overhauls, Python 3.8 steps toward a more modern Python codebase
Hadoop runs out of gas
As big data customers flee complexity and embrace the cloud, the Hadoop vendors are sputtering
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