Remove 2016 Remove Forecasting Remove Visualization
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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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Enterprise Data Science Workflows with AMPs and Streamlit

Cloudera

Fitting Prophet models with complex seasonalities for electricity demand forecasting. Understanding the technologies underlying these examples – both what they can do, and how they work – relied heavily on exploration and visualization. Exploring how inference works in RetinaNet for object detection.

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Here’s How Big Data And Business Card Marketing Go Together

Smart Data Collective

Data Floq made this point clear in a post they made in 2016. They might assume that using certain colors or other visual elements on their business card will be more appealing. It allows organizations to monitor historic data to forecast future trends. Online marketing did not make business cards go out of style.

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Fitting Bayesian structural time series with the bsts R package

The Unofficial Google Data Science Blog

Forecasting (e.g. Time series data are having something of a moment in the tech blogs right now, with Facebook announcing their "Prophet" system for time series forecasting (Taylor and Letham 2017), and Google posting about its forecasting system in this blog (Tassone and Rohani 2017).

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Time Series with R

Domino Data Lab

Fortunately, the forecast package has a number of functions to make working with time series data easier, including determining the optimal number of diffs. > library(forecast). This can be highly subjective, so fortunately forecast contains auto.arima , which will figure out the best specification. > AICc=776.99

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Crystal Reports: Alternatives and Comparison with FineReport

FineReport

The latest version released is Crystal Reports 2016. Compared to reporting tools, they can realize data forecast thanks to OLAP analysis and data mining technologies. Comparison between Crystal Reports and FineReport-Data visualization and Dashboard . SAP acquired Crystal Reports in 2007. Crystal Report Alternative.

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Why is Natural Language Processing Important to Enterprise Analytics?

Smarten

They can simply enter a search query in natural language and the system will translate the query, and return the results in natural language in an appropriate form, such as visualization, tables, numbers or descriptions. Users ask a simple question and get a simple answer.