You might remember the ad cost simulation I discussed in December. And you likely remember the past 1-2 weeks, where I’ve initiated a discussion about what I call File Power.Both are interrelated.When you craft a loyalty program, you are trying to increase File Power. You are trading margin dollars for customers.Read Full Story
As we’ve been reporting over the past year or so, the wait for addressable advertising in the linear TV space is over. Fueled by the mass adoption of smart-enabled television sets and consumers’ increasing desires for unique experiences, a handful of programmers are leveraging data and targeting capabilities to deliver personalized ads within the traditional, linear TV environment.Read Full Story
You can make a reasonably strong argument that the past decade was a fusion of three key factors:We pulled out of a near-depression.Free and Open Communication with anybody.Demographic change.From a commerce standpoint, we have the implosion of malls coupled with the rise in dollar stores. That’s not a coincidence, that’s a consequence of a near-depression.Read Full Story
Over the past few years, B2B marketing executives have been shifting their focus to Artificial Intelligence to boost their campaign’s effectiveness and increase business growth.Read Full Story
“The publishing industry has taken monumental steps forward in the past few years, but publishers still need to put their business caps on and focus on content as a product”
Could you tell us about your role and journey into technology? What inspired you to establish PubPlus – as well as expand globally?
I’ve always been a tech lover and early adopter of new trends.
“Study the past if you would define the future.”― Confucius
The first decade for Martech-as-a-service is coming to its end. What was the year 2019 like for the industry? As part of our Predictions Series 2020, we bring you this unique Infographic Rewinding 2019 as a recap of top Martech news and announcements of 2019.
For the past decade, the proportion of people spending most of their time on the internet has continued to grow. Whether its working, studying, purchasing, and interacting, the internet has become an integral part of our daily lives. To complicate things further, today’s convenience-oriented society means customers no longer want to venture to the brick and mortar businesses to simply buy items.Read Full Story
In years past, it was quite the cumbersome task to put together corporate conferences for the dissemination of important information and trends among industry stakeholders. It was only within the last few years that advancements in technology have provided efficient ways to bring large groups of stakeholders together for them to share information.Read Full Story
Over the past few years, the Digital Advertising landscape has vastly changed. In fact, this year for the first time, digital ad spending surpassed traditional ad spending, signaling a tipping point for the industry. But, this does not mean that the same Digital Advertising strategies that have been popular for years are going to remain consistently successful.Read Full Story
This past Friday, I gave a lecture on cake cutting algorithms at the Timpanogos Women’s Facility as part of a lecture series organized by my Utah colleague Erin L. Castro and her Utah Prison Education Project. The project’s mission is to… provide quality, sustained, and meaningful higher educational opportunities to individuals incarcerated in Utah state prisons.Read Full Story
In the past two posts (part I and part II), we used Latent Dirichlet Allocation (LDA) to discover topics for tweets, and visualized them. In this post, we’ll investigate using LDA on an 8gb dataset of around 8 million Stack Overflow posts.Read Full Story
This past weekend I spent 54 hours with some great developers, designers and business people at Startup Weekend Missoula 2013 (SWM2013).Read Full Story
As many of you know, I was kept quite busy on the faculty job market this past spring, when I spent three months traveling almost non-stop. My time as a postdoc at Carnegie Mellon University was a very stimulating and productive one, but it is now coming to a close. Many thanks to my supervisors, Carlos and Krishnan, as well as all my other colleagues and collaborators.Read Full Story
I spent this past weekend hunkered down in the basement of the local Elk’s club, working on a project for a hackathon. The project was a tweet ranking web application. The idea was to build a web app that would allow users to login with their Twitter account and view a modified version of their Twitter timeline that shows them tweets ranked by importance.Read Full Story
In the past few months, I’ve been experimenting with digital art. The process involves creating a rough sketch, cleaning it up into lineart, and then finally coloring and shading to create a final product.
Out of these three steps, adding color is by far the most time consuming.
Over the past few years I have worked on numerous different machine learning problems. Along the way I have fallen foul of many sometimes subtle and sometimes not so subtle pitfalls when building models. Falling into these pitfalls will often mean when you think you have a great model, actually in real-life it performs terribly.Read Full Story
Time series data has memory. It remembers what happened in the past and avenge any wrongdoings! Can you believe it? Okay the avenging part may not be true, but it definitely remembers the past. The “memory” refers to how strongly the past can influence the future in a given time series variable.Read Full Story
Memorial Day is the unofficial start of summer in the U.S., so in the past, we’ve also used it as the start date for the Summer of Data Science! The main goal of the Summer of Data Science is to learn something new during a fixed period of time, and share your progress and references to help and inspire others (and to get help from and get inspired by others, too!).Read Full Story
Over the past 11 blogs in this series, I have discussed how to build machine learning models for Kaggle’s Denoising Dirty Documents competition.Read Full Story
https://www.analyticsvidhya.comWord Embedding Models
NLP has progressed tremendously over the past few years. One of the most exciting advancements in the field is the concept of word embeddings. When one deals with text in a machine learning setting, he has to find a way to turn words into numbers, since machine learning models are only able to take numbers as inputs.