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Build efficient, cross-Regional, I/O-intensive workloads with Dask on AWS

AWS Big Data

Welcome to the era of data. The sheer volume of data captured daily continues to grow, calling for platforms and solutions to evolve. The Amazon Sustainability Data Initiative (ASDI) uses the capabilities of Amazon S3 to provide a no-cost solution for you to store and share climate science workloads across the globe.

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Humans and AI: Should We Describe AI as Autonomous?

DataRobot

Although AI is powerful and generates trillions of dollars of economic value across the world, what you see in science fiction movies remains pure fiction. According to the dictionary, autonomous means “having the freedom to govern itself or control its own affairs.” Contrast the dictionary definition with how the word is used.

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When is a catalog not a catalog?

Andrew White

I blogged recently about the high level of hype and confusion across Data and Analytics just a few months ago. Here is the original blog from March 2023: Summing Up Three Days at Gartner’s Data and Analytics Conference in Orlando, Florida, USA. The fact that there are different names is one thing. Too often they are conflated.

Metrics 52
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The state of data quality in 2020

O'Reilly on Data

We suspected that data quality was a topic brimming with interest. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. Data quality might get worse before it gets better.

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How to Easily Understand Your Python Objects

Insight

I frequently run into this issue in my data science workflow with complex objects in libraries, like TensorFlow. kwonlydefaults is a dictionary with keyword-only arg default values. annotations is a dictionary specifying any type annotations. args contains the argument names. kwonlyargs lists names of keyword-only args.

Testing 55
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How to supercharge data exploration with Pandas Profiling

Domino Data Lab

Producing insights from raw data is a time-consuming process. Predictive modeling efforts rely on dataset profiles , whether consisting of summary statistics or descriptive charts. The Importance of Exploratory Analytics in the Data Science Lifecycle. For one, Python remains the leading language for data science research.

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Switching from CPUs to GPUs for NYC Taxi Fare Predictions with NVIDIA RAPIDS

Cloudera

Have you ever asked a data scientist if they wanted their code to run faster? According to a poll in Kaggle’s State of Machine Learning and Data Science 2020 , A Convolutional Neural Network was the most popular deep learning algorithm used amongst polled individuals, but it was not even in the top 3. In fact only 43.2%