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Applying devops in data science and machine learning

Do More With R [video teaser/video series] - R Programming Guide - Tips & Tricks

How to use .SD in the R data.table package

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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.

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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

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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

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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

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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

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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

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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

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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.

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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

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Supervised learning explained

Supervised learning turns labeled training data into a tuned predictive model

Do More With R [video teaser/video series] - R Programming Guide - Tips & Tricks

How to Slack from R

See how to send text messages and files directly from an R script to Slack with the slackr package

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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

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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

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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

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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

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Hadoop runs out of gas

As big data customers flee complexity and embrace the cloud, the Hadoop vendors are sputtering

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