4 Crucial Big Data Profit Maximization Hacks for Business Owners

I attended a business conference earlier this month, where the topic of big data came up. I was surprised to see how many people are still sceptical about the value of big data in the world of business.
You probably know that big data is being used by business owners all over the world. The market for big data is growing faster than anybody ever predicted.

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Seven Areas Where MarTech CMOs Are Most Likely to Spend

Last month, MarTech Series published its take on Gartner’s report for Seven areas that the CMO will most likely spend in 2019. The seven areas are:
1. Digital Marketing
2. MarTech
3. Advertising
4. Workshorses
5. Innovation
6. Customer Experience
7. Personalization
Gartner predicts that 29% of the annual CMO budget will be disbursed towards MarTech.

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New Survey Points to Streaming Subscription Fatigue Among US Consumers

More Than Half of U.S. Consumers Unwilling to Pay More Than $20 a Month for Streaming TV Services Majority of Consumers Willing to View Ads Relevant to Their Interests to Reduce Subscription Costs
The majority of Americans (59 percent) are not willing to pay more than $20 a month for streaming TV services, according to a recent survey of more than 2,600 U.S. consumers by The Trade Desk.

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Machine learning APIs: which performs best?

Amazon ML (Machine Learning) made a lot of noise when it came out last month. Shortly afterwards, someone posted a link to Google Prediction API on HackerNews and it quickly became one of the most popular’s posts. Google’s product is quite similar to Amazon’s but it’s actually much older since it was introduced in 2011.

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Topic Modeling the Sarah Palin Emails

LDA-based Email Browser
Earlier this month, several thousand emails from Sarah Palin’s time as governor of Alaska were released. The emails weren’t organized in any fashion, though, so to make them easier to browse, I’ve been working on some topic modeling (in particular, using latent Dirichlet allocation) to separate the documents into different groups.

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Learning from Imbalanced Classes

Editor’s note: Welcome to Throwback Thursdays! Every third Thursday of the month, we feature a classic post from the earlier days of our company, gently updated as appropriate. We still find them helpful, and we think you will, too! You can find the original post here.
If you’re fresh from a machine learning course, chances are most of the datasets you used were fairly easy.

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#CraftyDataViz Winners

About a month ago, on a whim, I posted the #CraftyDataViz contest, hoping for some beautiful and wacky homemade visualizations, and you all sure came through! The entries were gorgeous and the judging was super difficult!
First, I’d like to thank our awesome judges, who went through 2 difficult rounds of judging and discussion to help select the winners!

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Catching the bus to class with Python

For the past month I have been studying abroad in London. One of the first things I noticed when arriving here was how much better the public transportation system was compared to what I am used to in Philadelphia. Whether you are taking the tube or the bus it is clean, quick, and the easiest way to get around the city.

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Monocular Visual Odometry using OpenCV

Last month, I made a post on Stereo Visual Odometry and its implementation in MATLAB.
This post would be focussing on Monocular Visual Odometry, and how we can implement it in OpenCV/C++.
The implementation that I describe in this post is once again freely available on github.
It is also simpler to understand, and runs at 5fps, which is much faster than my older stereo implementation.

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My First 6 Months of Blogging – victorzhou.com

Today is my 6 month anniversary of starting this blog! 🎉
In my First 50 Days of Blogging post, I outlined some (rather ambitious) goals for my first year of blogging (Year One):
Publish 50 blog posts.
Get a million pageviews.
Grow my newsletter to 10,000 subscribers.
Here’s where I’m at as of today:
Published 24 blog posts.
Gotten 314k pageviews.
Grown my newsletter to 2,000 subscribers.

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Hello GDPR, It’s Been a Month. How Are You Doing?

It is about a month since General Data Protection Regulation(GDPR) came into effect across the European Union. It’s the most critical data privacy law thus far, an 88-page monster translated into 26 different languages. When we summarize those pages, GDPR on privacy requires companies to:
Clearly state how they’re collecting and storing data about EU citizens.

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