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Top Python Libraries to Automate Exploratory Data Analysis in 2021

Analytics Vidhya

The post Top Python Libraries to Automate Exploratory Data Analysis in 2021 appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon. Topic to be covered What is Exploratory Data Analysis What.

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Tech Leaders Collaborate On Generative AI For Accelerated Chip Design

Flipboard

Artificial intelligence has been steadily infused into various parts of the Synopsys EDA tool suite for the last few years. What started in 2021 with DSO.ai, a tool created to accelerate, enhance and reduce the costs associated with the place-and-route stage of semiconductor design (sometimes …

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Ending an Ugly Chapter in Chip Design

Flipboard

It pitted established male EDA experts against two young female Google computer scientists, and the underlying argument had already led to the firing of one Google researcher. But that’s increasingly the case as EDA vendors such as Cadence and Synopsys go all in on AI-assisted chip design.) Kahng was reviewer #3.)

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11 Open Source Data Exploration Tools You Need to Know in 2023

ODSC - Open Data Science

ydata-profiling GitHub | Website The primary goal of ydata-profiling is to provide a one-line Exploratory Data Analysis (EDA) experience in a consistent and fast solution. Sam Bail, technical lead at Superconductive (the core maintainers behind Great Expectations), delivered a talk about building a robust data pipeline during ODSC East 2021.

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Unveiling Market Dynamics: Winners of the Google Trends Analysis and Predictive Modeling

Ocean Protocol

Essential tasks included conducting exploratory data analyses (EDA), identifying correlations, and investigating how historical and current trends could forecast future market movements. In 2021 alone, during the peak interest phase, her analysis directly correlated with the highest market prices observed during that year.

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Predicting new and existing product sales in semiconductors using Amazon Forecast

AWS Machine Learning Blog

We observed during the exploratory data analysis (EDA) that as we move from micro-level sales (product level) to macro-level sales (BL level), missing values become less significant. Next, we calculated the WAPE value using the following formula: We repeated the same procedure to calculate the WAPE value for 2020 and 2021.

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Accelerating query performance with watsonx.data Presto C++ and Intel Sapphire Rapid Processor on AWS

IBM Journey to AI blog

The combination of high CPU performance and high memory footprint makes R7iz instances suited for front-end Electronic Design Automation (EDA), relational database workloads with high per-core licensing fees, and financial, actuarial and data analytics simulation workloads. TB Memory, Up to 12.5 TB Memory, 528.2

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