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Tableau partners with the government of India to build students’ data skills

Tableau

Working with a group of visionary educators, we’ve been able to achieve amazing milestones, such as introducing Tableau to all first year students at Nanyang Technological University in Singapore in 2018.

Tableau 137
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Fleet Management and Big Data: Points to Consider

Smart Data Collective

According to a forecast by IDC and Seagate Technology, the global data sphere will grow more than fivefold in the next seven years. The total amount of new data will increase to 175 zettabytes by 2025 , up from 33 zettabytes in 2018. This ever-growing volume of information has given rise to the concept of big data.

Big Data 143
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TensorFlow

Dataconomy

Introduction and evolution of TPUs Initially developed for internal use in 2016, TPUs were made publicly available in 2018. For instance, STATS LLC employs it for sports data analysis, while agricultural innovations use TensorFlow to optimize cucumber sorting based on texture.

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Building an End-to-End Machine Learning Project to Reduce Delays in Aggressive Cancer Care.

Towards AI

Gilead Sciences provided a rich, real-world dataset that contains information about demographics, diagnosis and treatment options, and insurance provided to patients who were diagnosed with breast cancer from 2015–2018. The dataset originated from Health Verity, one of the largest healthcare data ecosystems in the US.

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Grok 3 is here and Musk says it’s 10x smarter: Is he right?

Dataconomy

It includes options for various applications, including research and data analysis, as demonstrated in the livestream. After departing from OpenAI’s board in 2018, Musk has publicly expressed his concerns about the organization.

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GoLang for Data Science

Data Science 101

Below is a listing of some of the data science related projects for Golang. Golang Data Science Books. Go Machine Learning Projects (2018) – this book uses gonum and gorgonia in the examples Machine Learning with Go (2017). There have even been a couple books written about the topic. Thoughts from the Community.

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How to use Netezza Performance Server query data in Amazon Simple Storage Service (S3)

IBM Journey to AI blog

This data will be analyzed using Netezza SQL and Python code to determine if the flight delays for the first half of 2022 have increased over flight delays compared to earlier periods of time within the current data (January 2019 – December 2021). The following diagram shows the data flows: Figure 2 – Data flow for data analysis.