3 Ways Technology Can Improve Creative Briefs and Project Intake to Drive Greater Efficiency in Marketing

Technology won’t make you more creative, but it can give you more space to be creative. It’s a part of the Marketing Technology stack that deserves some focus because Marketing leaders are clearly investing in creative teams and technology can drive greater efficiency.
CMOs have been building in-house creative teams for the last 10 years.

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ShoppingGives Announces Major New Retail Partners Just in Time for Holiday Shopping

Solstice Sunglasses, Natori, MiiR, Highline Wellness and KOIO Join ShoppingGives to Make It Easy for Shoppers to Give Back While Supporting the Giving Economy, Taking the Legal and Operational Burden Out of the Donation Process
ShoppingGives, a retail solution that provides seamless integrations for customer-focused cause marketing, announced that new partners have joined its platform, just in tim

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What is Double Opt-In in Email Marketing?

Are you thinking about the quality of your email list? Or do you want to make sure your subscribers are intending to read the email marketing you send out?
You may have found your answer in double opt-in, which is a process that ensures the best experience for your subscribers. Rather than single opt-in, double opt-in offers an extra step in the verification process.

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Using Predictive Analytics to Recruit Top Talent

 
Historical data can be an authoritative source of intel for a company looking to make smarter and faster decisions. When efficiencies are possible, it’s best to use the tools available to achieve them. Today’s recruiters need a more efficient workflow, which is driving the advancements being made in hiring tools, including the introduction of predictive analytics.

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How to Create a Cinemagraph in 7 Easy Steps

How to Make a Cinemagraph
Plan
Record
Importing and Clipping
Creating Your Mask
Editing Your Mask
Reverse (or Not)
As the old saying goes, “a picture is worth a thousand words.” Given that 65% of the population are visual learners, using images as part of your marketing can be the key to ensuring your message gets delivered.

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How to Maximize E-Commerce Conversion Rate by Enhancing User Experience.

The entire idea behind offering a better UX is to make shopping experience far more intuitive that leads to maximizing E-Commerce conversion rate. But when we talk of UX, we miss out on something called a User Journey. The fundamentals…
The post How to Maximize E-Commerce Conversion Rate by Enhancing User Experience. appeared first on Tatvic Analytics.

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Disappointed by the omission of MoviePass, but…

When we try to make sense of the unicorn delusion years from now, we’ll want to revisit this passage by Derek Thompson. [emphasis added]Several weeks ago, I met up with a friend in New York who suggested we grab a bite at a Scottish bar in the West Village. He had booked the table through something called Seated, a restaurant app that pays users who make reservations on the platform.

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The hacker’s guide to uncertainty estimates

It started with a tweet:
New years resolution: every plot I make during 2018 will contain uncertainty estimates— Erik Bernhardsson (@fulhack) January 7, 2018
Why? Because I’ve been sitting in 100,000,000 meetings where people endlessly debate whether the monthly number of widgets is going up or down, or whether widget method X is more productive than widget method Y.

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The Million Dollar Fine

If you’re a woman in North America, the OECD estimates that you make $10,000 less than your male counterparts each year, and you’re charged between $1,300 and $2,135 more for products and services. It’s a gender fine that adds up to about half a million dollars over your lifetime—and that’s if you’re lucky.

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How to make you own Wiki from Wikipedia using Python

How to make you own Wiki from Wikipedia using Python
I was asked to write a blog about how to make a personal Wiki, like this “HandWiki” from Wikipedia. The purpose of this blog is to show the basic steps in text processing. It requires some basic knowledge of MediaWiki setup, and some knowledge of the Python programming language.

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Bot or Not: an end-to-end data analysis in Python

For those who didn’t make it to my PyData talk… how dare you? Aww, I can’t stay mad at you. Here’s the written version of my talk about building a classifier with pandas, NLTK, and scikit-learn to identify Twitter bots. You can also watch it here.
In this post I want to discuss an Internets phenomena knows as bots, specifically Twitter bots.

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The building blocks of Deep Learning

A feed-forward network is built up of nodes that make a directed acyclic graph (DAG). This post will focus on how a single node works and what we need to implement if we want to define one. It is aimed at people who generally know how deep networks work, but can still be confused about exactly what gradients need to be computed for each node (i.e. myself, all the time).

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Optimizing a Daily Fantasy Sports NBA lineup — Knapsack, NumPy, and Giannis

Pic when I was sitting courtside on Oct 24th, 2018. If you zoom in a little, you can see Giannis about to make a screen, while Embiid watches from the other side of the court to help out if the screen is successful. Both players were in the optimal lineup that night.
Opener
In the data world, when looking for projects or an interesting problem, sports almost always gives you the opportunity.

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U.S. Open Data — Gathering and Understanding the Data from 2018 Shinnecock

After losing in a playoff to make it out of the local qualifying for the 2018 US Open at Shinnecock, I’m stuck at my apartment watching everyone struggle, wondering how much I’d be struggling if I was there myself.
Besides on TV, the US Open website offers some other way to follow what players are doing.

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Committed to Open Source… Again

This one’s been in the hopper for a long time! But now, you can grab it on the bleeding-edge version and make your decision tree visualizations totally legit in scikit-learn!
As many of you who head to my blog know, I’m quite the fan of tree-based learning, but have you ever seen scikit-learn’s D-Tree rendering? It used to be pretty basic.

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Automating ethics

Machines will need to make ethical decisions, and we will be responsible for those decisions.We are surrounded by systems that make ethical decisions: systems approving loans, trading stocks, forwarding news articles, recommending jail sentences, and much more. They act for us or against us, but almost always without our consent or even our knowledge.

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Can Python do the following?

These were features that I liked in Perl. Wondering if there is a way to make it work with Python?
Automated memory allocation / de-allocation (for variables, arrays, hash tables etc.)
Turning your program into an executable (that is, pre-compiled.)
Automated variable initialization (variables, arrays don’t even need to be declared, much less initialized)
Automated type casting (e.g.

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