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Technical Insights: Basic C++ 11/14 for Python Programmers

Our new blog post features a short list of some common python programming patterns and their C++ equivalents. This can help programmers learn C++ in a more efficient way if he or she already knows Python.

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Ask the Experts: Charlotte McEleny of the Drum on the State of Marketing in APAC

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Marketers have more data than ever at their fingertips, but how to make sure you are using the data to its full potential? Big data analytics can unlock the power of data, and offer insights on customer habits, interests and trends, helping you predict their future actions and plan your marketing campaigns accordingly.    What Is Big Data Analytics? Big data refers to not only the huge amounts of data, but also the varied and numerous different types of data sets. This data includes customer behaviors like spending habits and interests, consumer trends, as well as hidden patterns and correlations that can help illuminate current market fluctuations. Marketers can make sense of this data through the methodology of big data analytics, which is a form of advanced analytics, requiring high-performance analysis systems. For many companies, the investment can really pay off.   What Are the Benefits of Big Data Analytics? Knowledge is power, as the old adage goes. Big data analytics can unlock an enormous amount of knowledge about what your customers want, do, fear and dislike on your channels, but also on external websites. It can also provide unique insights on seemingly unrelated aspects of your customers’ lives –

How to Achieve Precision in Social Ad Targeting

Audience segmentation is a science that has previously relied on data and analysis of past behavior. Here’s how marketers can use artificial intelligence (AI) predictively to segment their Facebook audience more effectively at a lower cost per action. Social media platforms are a dream for marketers who are interested in the granular aspects of consumer traits. While audience segmentation is not a new practice, it’s becoming increasingly sophisticated in an age where you have reams of data about consumer behavior at your fingertips. How you use that data effectively is another story. At the moment, when marketers practise audience segmentation, what you are trying to do is analyze the data and identify traits that will indicate whether a customer is likely to take a desired action. You then use this to build a persona you use as a target for your ads. It works, to an extent. However, as social media marketing become more expensive – Facebook’s cost per click increased 92 percent in Q1 2018 compared to the same period last year, while click-through rates remain flat – you should be asking yourself how to optimize audience segmentation to get the best return on investment.   First, Find Inefficiencies

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