What’s Expected of Marketing in 2020

The conversations around what the Marketing industry can expect in the coming year is well underway. Technology is expanding and developing at a rapid pace, and Marketing is no exception. In the past year, we have seen a rise of Content Marketing in correlation with the demands from consumers and a significant increase in the use of Chatbots.

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Grupo Piñero adopts IBM Cloud and IBM Watson to Deliver Innovative Travel Experiences

IBM hybrid cloud and AI solutions, as well as Red Hat technology, enable the group to build new digital experiences adapted to hyperconnected travelers
Grupo Piñero, a Spanish tourism Group, has adopted IBM Cloud, including IBM public cloud and hybrid cloud solutions, to accelerate the development of new customer-facing digital applications and modernize existing applications.

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Why you should add statistical learning to your machine learning tool kit

Data scientists naturally use a lot of machine learning algorithms, which work well for detecting patterns, automating simple tasks, generalizing responses and other data heavy tasks.
As a subfield of computer science, machine learning evolved from the study of pattern recognition and computational learning theory in artificial intelligence.

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Chocolate Company Madécasse Announces Its New Name, Beyond Good, Developed by Brand Naming Agency River + Wolf

The name reflects the products’ exceptional taste and quality, as well as the company’s dedication to impact the continent of Africa
New York City brand naming agency River + Wolf is proud to announce its role in developing the brand name, Beyond Good, for the Direct Trade chocolate company formerly known as Madécasse.

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3 Reasons Why SEO’s Are Upset About Google’s Rel=nofollow Announcement

To understand what rel=nofollow is, we’ll start with an example.
Let’s say I’m a Wikipedia editor, and I’ve recently written a page about zebras. My page is getting hundreds of views, and is ranking on page one of Google for the search term, “Zebra”.
Following the success of my Wikipedia page, I get an email in my inbox.

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Keras for Beginners: Building Your First Neural Network – victorzhou.com

Keras is a simple-to-use but powerful deep learning library for Python. In this post, we’ll see how easy it is to build a feedforward neural network and train it to solve a real problem with Keras.
This post is intended for complete beginners to Keras but does assume a basic background knowledge of neural networks.

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Analyzing A Local Startup Ecosystem With Mattermark, GraphQL, Apollo Client, and Neo4j · William Lyon

Datamodel for the startup ecosystem graph we’ll build with data from Mattermark.
Many web services are converting their publicly facing APIs from REST to GraphQL. Companies like GitHub and Shopify have been leading this transition to GraphQL.

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Why I Love Scikit-learn

Scikit-learn is great because it has a clean API, is robust, fast,
easy to use, comprehensive, and well documented and supported,
released under a permissive license and the developers are cool. If
you can implement your project in Python and you don’t need massively
scalable algorithms, then it is probably for you.
Choosing a library is often a crucial task.

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What if it’s never decorative gourd season?

If it rains, now we’ll changeWe’ll hold and save all of what cameWe won’t let it run awayIf it rains — Robert Forster
I’ve been working recently as part of a team of statisticians based in Toronto on a big, complicated applied problem. One of the things about working on this project is that, in a first for me, we know that we need to release all code and data once the project is done.

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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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Why now is the time for dialog

I’m working on a task-oriented dialog product and things are going surprisingly well from a business standpoint. It turns out that existing techniques are sufficient to substitute some portion of commercial dialog interactions from human to machine mediated, with tremendous associated cost savings which exceed the cost of developing the automatic systems.

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Distributing Data in a Parameterserver

One of the key features of a parameter server is that it, well, serves parameters. In particular, it serves more parameters than a single machine can typically hold and provides more bandwidth than what a single machine offers. 
A sensible strategy to increase both aspects is to arrange data in the form of a bipartite graph with clients on one side and the server machines on the other.

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Keras for Beginners: Implementing a Convolutional Neural Network – victorzhou.com

Keras is a simple-to-use but powerful deep learning library for Python. In this post, we’ll build a simple Convolutional Neural Network (CNN) and train it to solve a real problem with Keras.
This post is intended for complete beginners to Keras but does assume a basic background knowledge of CNNs.

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Analyzing A Local Startup Ecosystem With Mattermark, GraphQL, Apollo Client, and Neo4j · William Lyon

Datamodel for the startup ecosystem graph we’ll build with data from Mattermark.
Many web services are converting their publicly facing APIs from REST to GraphQL. Companies like GitHub and Shopify have been leading this transition to GraphQL.

Read Full Story