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4 Great Programs Businesses Can Use to Get Accurate Data Results

Smart Data Collective

In 2016 experts projected that the “ big data ” industry would be worth somewhere around $30 billion by 2022. Splunk is a good choice for novice data users because it has features for beginners, but also can be utilized by teams of individuals who are trained specifically in data analytics, and it is widely used in that aspect.

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Closing the Gap Between the Digital Haves and Have-Nots

Cloudera

The majority of business leaders who participated in the IDG’s 2021 Data & Analytics Study are data haves — 86%, an increase from 68% in 2016. 93% of enterprise leaders have taken advantage of their data, compared to 81% of leaders of smaller-size companies. .

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Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

datapine

Exciting and futuristic, the concept of computer vision is based on computing devices or programs gaining the ability to extract detailed information from visual images. Visual analytics: Around three million images are uploaded to social media every single day. Artificial Intelligence (AI).

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Crystal Reports: Alternatives and Comparison with FineReport

FineReport

It can integrate up to twelve formats of data sources, and create dynamic reports. . The latest version released is Crystal Reports 2016. Comparison between Crystal Reports and FineReport- Data Collection . Crystal Report focuses on the data display. SAP acquired Crystal Reports in 2007. Download FineReport.

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Techniques for Collecting, Prepping, and Plotting Data: Predicting Social Media-Influence in the NBA

Domino Data Lab

The first step to collecting all of the data is to figure out which data source to collect first, and where to get it. Knowing that the ultimate goal is to compare the social-media influence and power of NBA players, a great place to start is with the roster of the NBA players in the 2016–2017 season. 35,vjust=1).

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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

datapine

Most people are aware that companies collect our GPS locale, text messages, credit card purchases, social media posts, Google search history, etc., and this book will give you an insight into their data collecting procedures and the reasons behind them. It was lately revised and updated in January 2016.

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Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

2016) for an example of this technique (LIME). Skater provides a wide range of algorithms that can be used for visual interpretation (e.g. Partial Dependence Plot is another visual method, which is model agnostic and can be successfully used to gain insights into the inner workings of a black-box model like a deep ANN.

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