Pitfalls

How to Understand Outputs and Maximize its Practical ApplicationTLDR: Media Mix Modeling (MMM) is a statistical approach for marketing measurement, but it’s not a “One size fits all” solution like other techniques. I will cover essential checkpoints for data scientists to enhance their modeling techniques and achieve improved results, differences between advertising reports and MMM, as well as the distinctions between Multi-Touch Attribution (MTA) and MMM.Photo by Austin Distel on UnsplashIntroductionMMM is a statistical…

When the young clergyman Fergus Butler-Gallie was asked, by the curious and the insolent, “What made you become a priest?” – with a variety of different emphases depending on the interlocutor – his stock answer was to reply: “Well, I heard that black was slimming.” Yet, as he subsequently reveals in this diary-cum-memoir, his true answer, shruggingly expressed, was: “Death, I suppose.”It is this dichotomy between the sacred and profane – or to be more exact, tragedy and farce – that permeates Butler-Gallie’s account of…

Before I started in digital marketing, my career involved quite a bit of foreign language translation work. Since I left that path and started working on websites, I’ve worked on many websites for international businesses in my SEO career. Some have been smaller, operating only in the U.S. and Canada, while others were global enterprises.  This combined experience has allowed me to see common areas of concern to avoid in international SEO, falling into two major categories: Translation. Localization.…

Excitement around ChatGPT -- an easy-to-use AI chatbot that can deliver an essay or computer code upon request and within seconds -- has sent schools into panic and turned Big Tech green with envy.The potential impact of ChatGPT on society remains complicated and unclear even as its creator Wednesday announced a paid subscription version in the United States.Here is a closer look at what ChatGPT is (and is not):Is this a turning point?It is entirely possible that November's release of ChatGPT by California company OpenAI…

Researchers survey why some people hold strong attitudes to science while others are more neutral. Credit: mathew schwartz, Unsplash (CC0, creativecommons.org/publicdomain/zero/1.0/) Why do people hold highly variable attitudes toward well-evidenced science? For many years researchers focused on what people know about science, thinking that "to know science is to love it." But do people who think they know science actually…

Image by pikisuperstar on Freepik (www.freepik.com)Common to-not-do-lists often overlooked in product experimentation causing poor and unreliable resultsWe all know product experimentation is important, and its benefits have largely been proven by organizations, enabling data-driven decisions on products, features, and processes. Google was testing 40 shades of blue on a link in the search results, and the right blue shade led to 200M in revenue. Booking.com has acknowledged the scaling and transformation of the…

Too Long; Didn't ReadTrying to learn too many languages or technologies at once can lead to confusion. Not asking for help when you need it can be a common pitfall when learning to code. By following these tips and making practice a regular part of your learning routine, you can improve your skills and become more proficient.L O A D I N G. . . comments & more! Too Long; Didn't ReadTrying to learn too many languages or technologies at once can lead to confusion. Not asking for help when you need it can be a common…

Craig Young’s flight to Indianapolis landed late Friday night. He and his wife, Julie, were freezing in single-digit temperatures on their way to the hotel, the start of a big weekend many years in the making, but he was still happy to take a call from Los Angeles to reflect about his son, Bryce.“The thing about the pace, especially when playing at Alabama, you don’t really have a lot of time to sit back,” Craig said. “Probably when the season is over we’ll really digest everything that’s happened. But if you are in it,…

“The only function of economic forecasting,” wrote the great American economist John Kenneth Galbraith, “is to make astrology look respectable.” It is characteristic of Erica Thompson’s sprightly and highly original new book on the uses and abuses of mathematical modelling that she dares to turn Galbraith’s verdict on its head. The medieval practice of casting horoscopes, she shows in one typically engaging section that embodies her most important themes, has a surprising amount to teach us about the modern practice of…

Exploring the Causes and Solutions for Overfitting in Machine Learning ModelsPhoto by fabio on UnsplashOverfitting in machine learning is a common problem that occurs when a model is trained so much on the training dataset that it learns specific details about the training data that don’t generalise well, and cause poor performance on new, unseen data. Overfitting can happen for a variety of reasons, but ultimately it leads to a model that is not able to generalize well and make accurate predictions on data it has not…