Les news de la curation sur des nouveautés et l’humour

What Enterprise Software Delivery Can Learn From a Woman, Hackathon, and ML

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What a special experience. An old friend and colleague, Lynn Pausic, one of the co-founders of Expero — a company with extensive experience in Machine Learning applied to complex business and technical problems — asked if I would help judge a “Machine Learning hackathon for women.” How could I say no to that?

Eight teams of women presented highly innovative and varied ideas for Machine Learning that could be applied to do good in the world, help improve and save lives, and even make home-cooking easier!


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DevOps at Nike: There Is No Finish Line

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The following is an excerpt from a presentation by Ron Forrester and Scott Boecker from Nike, titled “DevOps at Nike: There is No Finish Line.”

nike-does-us-2017You can watch the video of the presentation, which was originally delivered at the 2017 DevOps Enterprise Summit in San Francisco.

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Using AI And ML For Translation Solutions

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Natural Language Processing; it’s Artificial Intelligence that learns words and patterns of words so that it can respond to human searches and questions. Siri and Alexa are examples of this technology.

And this technology is continually improving. As more and more conversations are held with these machines, they continue to learn and respond more accurately.


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Understanding the Working of Embedded IoT Medical Devices

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When it comes to the healthcare industry, providing treatment and diagnosis to remote locations where doctors are not easily available or accessible is difficult. However, with the help of IoT-enabled embedded medical devices, healthcare specialists can easily identify diseases and provide treatments in a timely manner from distant locations. This article discusses how embedded IoT medical devices can change treatment methods.

With the proliferation of IoT devices, there has been a huge transformation in terms of smart cities, connected manufacturing, wireless communication, and connected healthcare. If we talk specifically about the healthcare industry, there has been a significant revolution in terms of delivering health care services in remote locations, where doctors are not easily available. Many healthcare facilities have started adopting embedded solutions for medical devices enabled with IoT to address the lack of availability of doctors in remote areas. These IoT-enabled medical devices help identify diseases in patients and conduct different tests to provide an accurate and reliable treatment to patients in remote locations.

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Python vs. R: Which Should You Choose For Your Next ML Project?

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Data science is all about capturing data in an insightful way, whereas Machine Learning is a key area of it. Data science is a fantastic blend of advanced statistics, problem-solving, mathematics expertise, data inference, business acumen, algorithm development, and real-world programming ability. And Machine Learning is a set of algorithms that enable software applications to become more precise in predicting outcomes or take actions to separate it without being explicitly programmed.

The distinction between data science and Machine Learning is a bit fluid, but the main idea is that data science emphasizes statistical inference and interpretability, while Machine Learning prioritizes predictive accuracy over model interpretability. And for both data science and Machine Learning, open source has become almost the de facto license for innovative new tools.


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Introduction to Azure Functions

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Azure Functions

As part of Microsoft’s offer in the Platform-as-a-Service model, Azure Functions is one of Azure’s Serverless alternatives. Launched in late 2016, currently, it has two versions of runtimes available, although the version 2.x is still in preview mode. This new version is adding Java as a programming language to those supported by version 1.x — C#, JavaScript, and F#.

Azure Functions is the on-demand execution of functions or small fragments of code based on events. As the cost is associated with the execution, if the function is not executed, there are no charges to pay. And if the event that triggers the execution occurs faster than the function, the platform executes the code in multiple threads without obstacles.

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Executive Insights on the Current and Future State of Artificial Intelligence

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This article is featured in the new DZone Guide to Artificial Intelligence: Automating Decision-Making. Get your free copy for more insightful articles, industry statistics, and more!

To gather insights on the state of artificial intelligence (AI), and all of its subsegments — machine learning (ML), natural language processing (NLP), deep learning (DL), robotic process automation (RPA), regression, etc., we talked to 21 executives who are implementing AI in their own organization and helping others understand how AI can help their business. Specifically, we spoke to:


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HTTP Security Considerations – An Introduction To HTTP Basics

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HTTP Security Considerations – An Introduction To HTTP Basics

HTTP is ubiquitous now with pretty much everything being powered by an API, a web application or some kind of cloud-based HTTP driven infrastructure. With that HTTP Security becomes paramount and to secure HTTP you have to understand it.

HTTP is the protocol that powers the web and to penetrate via a web service it pays to have a good solid foundational understanding of HTTP, how it works and the common response codes – many of which can lead to some kind of vulnerability which is exploitable.

Read the rest of HTTP Security Considerations – An Introduction To HTTP Basics now! Only available at Darknet.

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On Minimalism, Kanban, and Productivity

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We used to all want to get access to as wide a range of information, things, and experiences as possible. For a while now, this has been changing — just as there is a shift in viewing the Internet as a place with all possible knowledge, to viewing it a place with all of the world’s garbage and some knowledge — in the same manner, a change in what we want to focus on in general, can be noticed.
Once you know what goals you want to achieve in life, a more specific path can be mapped out for you. In that sense, your interests and focus should be directed into that specific goal. You don’t need to know everything about everything (does anyone?); you only need to know your preferred specialties. Here is why minimalism in all shapes and forms can be applied.

And all in an effort to make life easier for yourself.

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How AI Will Take Predictive Analytics to the Next Level

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This article is featured in the new DZone Guide to Artificial Intelligence: Automating Decision-Making. Get your free copy for more insightful articles, industry statistics, and more!

Since February of 2018, scientists from Google’s health-tech subsidiary have pioneered innovative ways of creating revolutionary healthcare insights through artificial intelligence prediction algorithms. Based on the back of a patient’s eye scan, their system can make predictions against the patient’s risk of experiencing a severe cardiac incident.


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