Data Science

Data Science | News, how-tos, features, reviews, and videos

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What is AI bias mitigation, and how can it improve AI fairness?

Algorithmic biases that lead to unfair or arbitrary outcomes take many forms. But we also have many strategies and techniques to combat them.

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When RPA meets data science

Data science can make robotic process automation more intelligent. Robotic process automation make it easier to deploy data science models in production.

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Data science needs drudges

Quality data science outputs depend on quality inputs. Data cleansing and preparing may not be exciting work, but it’s critical.

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An introduction to time series forecasting

Time series forecasts are used to predict a future value or a classification at a particular point in time. Here’s a brief overview of their common uses and how they are developed.

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6 essential Python tools for data science—now improved

SciPy, Numba, Cython, Dask, Vaex, and Intel SDC all have new versions that aid big data analytics and machine learning projects.

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The real successes of AI

Despite the hype, especially around self-driving cars, AI is writing code, designing Google chip floor plans, and telling us how much to trust it.

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Getting started with time series analysis

Time series analysis involves identifying attributes of your time series data, such as trend and seasonality, by measuring statistical properties.

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How the cloud and big compute are remaking HPC

High-performance computing projects require massive quantities of compute resources. Pairing simulation and specialized hardware with the cloud powers the breakthroughs of the future.

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How to visualize time series data

Visualizing time series data is often the first step in observing trends that can guide time series modeling and analysis.

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Speed up your Python with Numba

Want faster number-crunching in Python? You can speed up your existing Python code with the Numba JIT, often with only one instruction.

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Simplify machine learning with Azure Applied AI Services

Microsoft is wrapping its Cognitive Services machine learning platform as business-focused services.

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Get started with Anaconda Python

Anaconda provides a handy GUI, a slew of work environments, and tools to simplify the process of using Python for data science.

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Why you need a data integration platform

With every organization generating and accessing multiple data sources, an integration platform ensures every team has the data they need to drive the business forward.

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Excel, Python, and the future of data science

If the ubiquitous spreadsheet program is the gateway to data science, Python aims to be the next step.

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The value of time series data and TSDBs

Time series data key insights in domains ranging from science and medicine to systems monitoring and industrial IoT. Understand time series data and the databases designed to ingest, store, and analyze time series data.

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Use the new R pipe built into R 4.1

Learn the new pipe operator built into R 4.1 and how it differs from the maggritr pipe. Don’t want to install R 4.1 yet? See how to run R 4.1 in a Docker container.

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Dataiku review: Data science fit for the enterprise

Dataiku’s end-to-end machine learning platform combines visual tools, notebooks, and code to address the needs of data scientists, data engineers, business analysts, and AI consumers.

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Review: 7 Python IDEs go to the mat

Which Python IDE is right for you? Here’s how IDLE, Komodo, LiClipse, PyCharm, Python extension for Visual Studio Code, Python Tools for Visual Studio, and Spyder stack up in capabilities and ease of use.

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