An Introduction to Machine Learning

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Machine learning (a field of artificial intelligence) is a rapidly expanding technology that we see  in use more and more in our daily lives. It is used to give us more accurate results when we do an internet search, suggest products to us when we are shopping, and offer diagnoses to our maladies.

The Importance of Onboarding Processes

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Being a new hire can be overwhelming in more ways than one. Meeting new people, learning how the company operates and how to become a successful member of the team.

In order to make this transition smoother, an onboarding process can be put into action. Going through this process typically happens once during the course of employment, beginning at the time of hire. Over time, faces become familiar and the day to day tasks become more routine, minimizing the unknown.

REST API Models in Swift

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There are a lot of APIs out there, a lot of networking layers, a lot of abstractions, I’m going to offer just one way to start building Swift models backed by a RESTful API. Out of personal preference, PromiseKit will be used instead of callbacks and ObjectMapper will be used to convert between JSON and Swift objects.

Look Ma, No Hands!

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While we may not be seeing a DeLorean turned time machine anytime soon, a vehicle with capabilities similar to those of KITT from Knight Rider isn’t so far fetched.

Hottest Social Media Platforms in China

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You might think that Facebook and Twitter are already occupying the social media space world wide,  However, in China they are blocked. When it comes to Social Media Marketing in China, you must use different tones to communicate with your Chinese audience on their own Social Media platforms, such as Weibo (equivalent of Facebook and Twitter in China), especially Sina Weibo, Tencent Qzone (equivalent of Facebook and Twitter in China), Tencent QQ (Instant Message tools), Tencent Wechat (Mobile communication and private social networking app), Renren (equivalent of Facebook in China) and Youku & Tudou (equivalent of YouTube in China).

What is Pixel Density and Why Should You Care?

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Pixel density is the number of pixels per linear physical unit. Measured in pixels per inch (ppi or dpi). Pixel density and resolution are technically the same thing, but often people say “resolution” to mean “pixel count,” a related metric:

count = densityH * width * densityV * height

When other things are held constant:

Project Management Best Practices at Grio

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At Grio, it has always been our philosophy that we don’t have a “one-size fits all” approach to project management. Different projects have different goals, so our process needs to be adaptable.  Some clients will come to us with existing processes that we can fit into, whereas other clients maybe be starting from scratch on their project with no processes in place and are looking to us for guidance.  Many clients are somewhere in the middle.

6 Steps to Improve App Search Rankings

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Working as developers, we are focused on the low level technical details of a product, being that a website or an app. This heads down approach often makes us not to pay attention to many high level details that are crucial to bring our product to success. The typical path for a developer, at least at the beginning, is to build an app, put it on the store and then see it fail miserably. If that has happened to your app, then this post is for you!

Designing Cross-Cultural User Experiences

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Upon hearing the term cross-cultural UX design most people might be unsure what it means and find it a mouthful to say. As the name suggests, cross-cultural UX design is when designers create a product that can be an enjoyable user experience for all people of all countries and cultures throughout the world. It makes sense that this is a relatively unknown and new term as it has only been used in recent years as our world experiences rapid globalization. Below I put together 6 major points to take into consideration when designing cross-cultural user experiences.

An Introduction to Data Mining

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Data mining is an interdisciplinary subfield of computer science used to discover patterns in complex datasets. The field has been widely studied since the 70’s since it can produce useful insights that can help to better understand underlying relationships and trends in data sets.