Data Science
Data Science | News, how-tos, features, reviews, and videos
Use Cython to accelerate array iteration in NumPy
NumPy is known for being fast, but there's always room for improvement. Learn how to use Cython to iterate over NumPy arrays at the speed of C.
IT career roadmap: Data scientist
Reading Freakonomics awakened his passion for data science. Here's how further education and thoughtful career moves led to becoming a data scientist.
RStudio changes name to Posit, expands focus to include Python and VS Code
RStudio is updating its name as it aims to expand use of its commercial products among data science teams using both Python and R.
3 data quality metrics dataops should prioritize
Data-driven decisions require data that is trustworthy, available, and timely. Upping the dataops game is a worthwhile way to offer business leaders reliable insights.
Why do businesses suck at using data?
Few enterprises can effectively leverage their data inside or outside of the cloud, and a new study says that's still the case. It's time to make a plan.
How to attend RStudio Conference 2022 remotely for free
Keynotes and presentations will be streamed live. Plus, there will be a Discord server for virtual attendees.
What is behavioral analytics and when is it important?
The ability to mine large amounts of data to study how users act offers long-reaching business benefits and risk reduction opportunities.
What is TensorFlow? The machine learning library explained
TensorFlow is a Python-friendly open source library for numerical computation that makes machine learning and developing neural networks faster and easier.
As data science goes mainstream, so does its language
Python may be the second choice to R, but its popularity and ease of use positions it to dominate data science.
What is a data lake? Massively scalable storage for big data analytics
Dive into data lakes—what they are, how they're used, and how data lakes are both different and complementary to data warehouses.
Career roadmap: Machine learning scientist
Data scientists and machine learning scientists have similar roles, but a machine learning scientist specializes in researching and implementing complex algorithms.
Review: Databricks Lakehouse Platform
Databricks Lakehouse Platform combines cost-effective data storage with machine learning and data analytics, and it's available on AWS, Azure, and GCP. Could it be an affordable alternative for your data warehouse needs?
Databricks targets data pipeline automation with Delta Live Tables
The company’s new ETL framework aims to cut down the time taken by data scientists and engineers setting up reliable data pipelines and managing infrastructure.
Career roadmap: Machine learning engineer
As organizations worldwide adopt machine learning across virtually every industry, the demand for machine learning engineers is on the rise.
5 ways spreadsheets kill your business
Potentially error-prone, unsecured, and hard to maintain, spreadsheets create data silos and discourage collaboration.
Use synthetic data for continuous testing and machine learning
Where real data is unethical, unavailable, or doesn’t exist, synthetic data sets can provide the needed quantity and variety.
Google releases differential privacy pipeline for Python
PipelineDP allows datasets containing personal information to be aggregated in a way that preserves the privacy of individuals.
