Dreamforce Update: Optimizely for Salesforce Data and Attribution Application Arrives

For a very long time, CMOs had to rely on disparate Marketing Attribution and Optimization techniques to understand how various online activities impact your offline conversion metrics. But, things are changing very quickly with maturity of the CRMs and Customer Data Platforms (CDPs).

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How companies around the world apply machine learning

Strata Data London will introduce technologies and techniques; showcase use cases; and highlight the importance of ethics, privacy, and security.The growing role of data and machine learning cuts across domains and industries. Companies continue to use data to improve decision-making (business intelligence and analytics) and for automation (machine learning and AI).

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Lana Del Rey’s Discography through the Lens of Text Analytics

I’ll keep this short and sweet. I did an analysis of The Killers using some NLP techniques in my last blog post. I scraped both The Killers and Lana Del Rey lyrics previously for some topic model analysis, but it wasn’t so successful. To not waste my scraped data, here are the same results for Lana Del Rey. For details on methodology, you can go check that out.
A preamble.

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DeepFakes: AI-powered deception machines

Driven by computer vision and deep learning techniques, a new wave of imaging attacks has recently emerged which allows anyone to easily create highly realistic “fake” videos. These false videos are known as Deep Fakes. While highly entertaining at times, DeepFakes can be used to perturb society and some would argue that the pre-shock has already begun.

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Hackers beware: Bootstrap sampling may be harmful

Bootstrap sampling techniques are very appealing, as they don’t require knowing much about statistics and opaque formulas. Instead, all one needs to do is resample the given data many times, and calculate the desired statistics. Therefore, bootstrapping has been promoted as an easy way of modelling uncertainty to hackers who don’t have much statistical knowledge.

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Logistic Regression in R: A Classification Technique to Predict Credit Card Default

Logistic regression is one of the statistical techniques in machine learning used to form prediction models. It is one of the most popular classification algorithms mostly used for binary classification problems (problems with two class values; however, some variants may deal with multiple classes as well). It’s used for various research and industrial problems.

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