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Tag Archives | Data science

Figure 1. Data Science/Analytics Tools, Technologies and Languages used in 2017. Click image to enlarge.

Top Machine Learning and Data Science Methods Used at Work

The practice of data science requires the use algorithms and data science methods to help data professionals extract insights and value from data. A recent survey by Kaggle revealed that data professionals used data visualization, logistic regression, cross-validation and decision trees more than other data science methods in 2017. Looking ahead to 2018, data professionals […]

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Table 1. Principal Component Matrix of 48 Data Science Tools, Technologies and Languages - data from Kaggle 2017 The State of Data Science and Machine Learning survey of data professionals. Click image to enlarge.

Which Data Science Tools are Used Together?

Analysis of usage of 48 data science tools by over 10,000 data professionals showed that data science tools could be grouped into a smaller set (specifically, 14 tool groupings). That is, some data science tools tend to be used together apart from other data science tools. Implications for vendors and data professionals are discussed. Data […]

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Data Science/Analytics Tools, Technologies and Languages used in 2017

Most Used Data Science Tools and Technologies in 2017 and What to Expect for 2018

The practice of data science requires the use of analytics tools, technologies and languages to help data professionals extract insights and value from data. A recent survey by Kaggle revealed that data professionals relied on Python, R and SQL more than other tools in 2017. Looking ahead to 2018, the survey results showed that data […]

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top102017

Top BOB Blog Posts for 2017: Data Science, Machine Learning and Customer Analytics Best Practices

The importance of analytics continues to grow in business and beyond. I did my part this year to spread interest in analytics to more people. All of my top blog posts of 2017 (most reads) are all related to analytics, with posts that address data science, artificial intelligence and machine learning. Below are my top […]

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Impact of American Optdicks

Data Science Reveals the Unintended Effectiveness of Male Genital Accoutrement

The people of American Optdicks created a gag gift to raise money for prostate cancer research. Their product, eyeglass frames for male genitalia, while humorous, could theoretically improve heterosexual women’s ratings of male genitalia. This group of humanitarians reached out to me to employ the practice of data science to conduct a seminal study to […]

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Figure 2. The Different Faces of Batman

To be Successful at Data Science, Think Batman, Not Superman

I recently made a Batman analogy when discussing the topic of data science with some colleagues. In this post, I will explore this analogy further. Last week, a group of data professionals, including Jennifer Shin, Dion Hinchcliffe, Joe McKendrick, Joe Caserta and me, sat down with theCube‘s Dave Vellante and John Walls for a panel discussion on the topic of […]

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Figure 2. Analytical Leaders

Why You Need to Adopt Data Science and Machine Learning in your Customer Experience/Success Program

A study of 80+ companies showed that analytical leading companies (those who use analytics to gain a competitive advantage), more so than analytical lagging companies, leverage their data differently. Analytical Leaders focus their analytics to improve customer loyalty while Analytical Laggards focus their efforts primarily to reduce enterprise costs. Additionally, Analytical Leaders, compared to Analytical […]

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Figure 1.

Demystifying Data Science For All

I’m all for helping educate the world about the power of data and analytics. I believe that the power of data science can help businesses and citizens understand how the world works. Data science capabilities can help business leaders leverage their vast amounts of data to get insights to improve how they manage their business […]

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