Demystifying Machine Learning and AI in Market Insights

If you are like me, you’re probably reading this article because of the buzzwords in the title. Even though everyone seems to be talking about predictive analytics, machine learning (ML) and AI, definitions for these emerging fields can be hard to come by and, more importantly, few people have a clear vision for how they can benefit their businesses.

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What Is a Blog, & Why Should You Create One

Even if you’re not sure what a blog is, you’ve no doubt come across one at some point in time. Perhaps you’ve stumbled across a blog when you’ve searched “healthy dinner recipes”.
Alternatively, maybe you used a blog to get more information on SEO strategies.
In fact, if you’re reading this, guess what? You’re on a blog. (Very meta, I know.

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Enterprise Strategy Group Highlights Impact, Value of Actifio GO for SAP HANA on Google Cloud Platform

More Than 50% of Companies Can’t Tolerate Even 15 Minutes of Data Unavailability
A new Solution Showcase by Enterprise Strategy Group (ESG) describes the rising importance of instant data re-use for mission-critical applications such as SAP HANA and the impact and value provided by Actifio, the pioneer of multi-cloud copy data management software, and its Actifio GO for GCP (Google Cloud Platfo

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BrandPost: How the Harvard Business Review Used Personalization and Automation to Enhance Success

Even though the Harvard Business Review (HBR) is one of the most respected business publications on the planet, it’s not exempt from the need to continually improve customer engagement and experience. HBR, like every other organization, wants to attract more customers and create strong relationships with them.

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Digital Marketing Acronyms and Abbreviations Demystified

Marketing is full of acronyms and abbreviations, it gets confusing even for an experienced marketer to keep track of all these terms. So help you navigate through all these words, I have developed a mini-course that explains what various Digital Marketing Acronyms and Abbreviations mean (the short course cover acronyms and abbreviations starting with A, B and C).

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the psychology of the enterprise buyer

Consumer startups like Facebook, Twitter, Pinterest, and even DropBox are built by founders who wanted to “make something cool” for their own benefit. Their teams intuitively understand what works because they are their own target audience: young, tech-savvy people looking for better ways to connect, share, and organize their digital stuff.

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Yes, some of your coworkers will hook up at the holiday party

And even more have fantasized about it Cuffing season. Meeting the parents. The “turkey drop.” While relationship trends are oft discussed during the holiday season, holiday hookup trends are largely unexplored — specifically those that are a result of the much-anticipated company holiday party.

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How to Evaluate the Logistic Loss and not NaN trying

A naive implementation of the logistic regression loss can results in numerical indeterminacy even for moderate values. This post takes a closer look into the source of these instabilities and discusses more robust Python implementations.
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RFM Segmentation

 Even though RFM segmentation is well known in retail industry, and basic premise is that by knowing recency, frequency and value of the purchase you can be in good position to start figuring out specific customer in terms of its value, purchasing behavior and its loyalties. However, same logic can be applied for any phenomena that we trying to predict.

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Client Success Story: Hydro Flask Grows Brand Awareness Through Upper-Funnel Advertising

Published November 4, 2019
 
 
Brand awareness: hard to track, even harder to justify budget for, and often overlooked. But a good brand awareness and recognition strategy benefits your brand for years to come.
Growing upper-funnel efforts is crucial to getting consumers to know about your brand in the first place, as well as generating new customer acquisition in the long term.

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What is Empirical Risk Minimization

Even though it has an ornate name, the underlying concept is actually quite simple and intuitive. The concept of Empirical Risk Minimization becomes relevant in the world of supervised learning. The actual goal of supervised learning is to find a model that solves a problem as opposed to finding a model that best fits the given dataset.

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