Kurvv Blog

Fake Important Tasks

Sep 3, 2021 3:21:44 PM / by Ryan Lee posted in Small Business, ideas, startup, Blog

TL;DR

There are tasks or items that seem to be really important due to it's seemingly large impact if not addressed (immediately). But in reality, can be can be easily addressed later with little to no consequences. The only real way to identify them is to learn from direct and indirect experience from other startups.

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When data is misleading : Selection Bias

Nov 1, 2020 3:01:58 PM / by Ryan Lee posted in Blog

In our previous post, we covered survivorship bias, a tendency to focus on things that have survived and overlook those that didn’t. It misleads data scientists and distorts their reasoning. Far from being an isolated problem, however, survivorship bias is part of a broader selection bias. The latter encompasses various instances when data sets are not representative of the population intended to be analyzed.

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How much data do you need for Machine Learning?

Oct 15, 2020 9:09:48 AM / by Ryan Lee posted in data, Blog

Customers often ask us how much data they need to run successful artificial intelligence (AI) and machine learning (ML) projects. This question is hard to answer in simple terms. A functioning ML model requires clean and large data sets, but their optimal size is affected by a range of factors including the complexity of the model, training method, and tolerance for errors. Fortunately, there are several ways of calculating your data needs and overcoming the lack of data.

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Getting more out of Digital Transformation through Machine Learning

Sep 22, 2020 10:21:13 AM / by Ryan Lee posted in DX, digital transformation, DT, Blog

Across industries, businesses of all sizes are embracing digital transformation (DX or DT). Using advanced technologies to improve operations and delight customers has become a source of competitive advantage. And companies spare no expense in these efforts. Worldwide spending on DX is forecasted to reach $2.3 trillion in 2023, according to the International Data Corporation (IDC), a global market intelligence provider. The COVID-19 pandemic is set to only further accelerate this trend.

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When data is misleading : Survivorship Bias 

Sep 9, 2020 2:24:04 AM / by Ryan Lee posted in bias, Blog, business analytics

The logical error of only considering the information that is seen.

 

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Data Science vs Software Engineering : Some Similarities and Key Differences

Aug 6, 2020 4:29:11 AM / by Luis Riera posted in software engineer, data scientist, Blog

Data scientists and software engineers are a critical part of any company looking to innovate and find solutions to difficult problems. Both use their respective tools to perform their job duties and benefit from communicating and working together. Let’s take a moment to learn more about the role(s) of a data scientist and software engineer(with a caveat that it may vary from company to company).

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Understanding Correlation and Causation

Jul 29, 2020 7:02:17 AM / by Luis Riera posted in data science, correlation, causation, Blog, educational

“Correlation does not mean Causation”, “Is that correlation or causation?”.

These comments get casually thrown around during discussions around data analysis, but correlation and causation are two terms that can often elude decision-makers’ proper understanding of statistics and in turn data science. If not correctly understood, this can lead to incorrect conclusions and actions.

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Twitter Sentiment & COVID-19

May 5, 2020 3:33:43 AM / by Justin Gong posted in COVID19, twitter, VADER, Blog, sentiment

Twitter can be a useful tool in understanding how people are feeling about the coronavirus (COVID-19) over time. We performed sentiment analysis on tweets related to COVID19 from January 4th, 2020 to April 12th, 2020 and observe any trends or frequencies for the most positive and negative tweets during this period.

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Auto Forecasting – Sales predictions

Apr 14, 2020 6:53:43 AM / by Ryan Lee posted in data science, Blog, sales forecast, sales

Kurvv’s AutoForecast product provides customers with a variety of quantitative sales forecasting methods, so they can simply connect their data source and receive a customized, accurate forecast in seconds. Once data is uploadedAutoForecast tests out several different time-series forecasting methods including decomposition, exponential smoothing, ARIMA and regression (see below for more details about each)Finallyan average of all forecasts is computed and output with the final results. Customers can select the forecast output(s) they feel most comfortable with and customize forecast time horizon and validation time windows. 

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COVID-19 (We are here to help)

Mar 26, 2020 3:22:19 AM / by Jeff Croft posted in Machine Learning, Small Business, ideas, startup, data science, ecommerce, Blog, Travel, Hospitality, Economy

These are unprecedented times.

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