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Artificial Intelligence and Machine Learning in the News, February 5, 2018

 Mnubo raises $16.5M Series B from Munich Re/HSB Ventures, White Star Capital, McRock Capital and other investors

…brings AI-driven financial products to the connected equipment market in partnership with HSB MONTREAL–(BUSINESS WIRE)–February 2, 2018– Mnubo, a leading Internet of Things (IoT) Data Analytics and Artificial Intelligence (AI) company, today announced that it has raised $16.5 million in Series B financing, as part of an oversubscribed round, to accelerate the international growth of its SmartObjects™ IoT Analytics and Data Science solution that helps worldwide equipment manufacturers and service providers advance their data monetization strategy. This press release features multimedia. View the full release here:… 2018-02-02 00:00:00 CloudQuant Thoughts: We like seeing the growth of IoT because it has the promise of providing additional alternative data sets (alt-data) that crowd researchers can use for alpha seeking trading algorithms.  

12 Amazing Deep Learning Breakthroughs of 2017

…The quest to give machines a mind of their own occupied the brightest AI specialists in 2017. Machine learning (and especially the newly hip branch, deep learning) practically delivered all of the most stunning achievements in artificial intelligence so far — from systems that beat us at our own games to art-producing neural networks that rival human creativity. At the onset and in hindsight, experts have heralded 2017 as “The Year of AI”. Here are a dozen deep learning breakthroughs from the past year t… 2018-01-29 16:38:15+00:00 CloudQuant Thoughts: Breakthrough 1, “Gaming AI” can only help to drive forward FINTECH AI. Breakthrough 12, “The Ethics and Fairness of ML Sytems” reminded me of a very interesting recent TED Hour called Can we trust the numbers, well worth checking out.

 Google has Extended it’s Machine Learning Capabilities to Predict Flight Delays

…Google today announced the addition of two new features to its Flights application. And both of them will make a significant difference to the flyer. With the help of machine learning, Google Flights will now be able to predict if a flight will be delayed, and by how long. The other feature will assist users in making confident decisions that they’re getting the cheapest fare, regardless of their destination. The “basic economy” class has been introduced by a lot of airlines but the details around it remain fuzzy for the average flyer. Does it include overhead bin space? Can … 2018-02-01 00:49:46+05:30 CloudQuant Thoughts: Time is money, knowing how much your time is worth and combining that information with this Google ML prediction can only help us get more time and money to invest in developing our next Algo Model on CloudQuant!  

 Microsoft’s skyrocketing stock closing in on $100/share thanks to cloud emphasis

… Bracelin earlier this month wrote that Microsoft is the fastest growing major cloud provider and has now captured 20 percent of the public cloud market. Microsoft’s next area of major investment is artificial intelligence. In 2016, Microsoft formed a new AI group, making it the fourth engineering division at the company, alongside the Office, Windows and Cloud & Enterprise. In the first year, that group grew by 60 percent — from 5,000 people originally to nearly 8,000 people — through hiring and acquisitions, and by bringing aboard additional teams from other parts of the company. 2018-01-31 17:49:44+00:00 CloudQuant Thoughts: Microsoft’s Azure provides you with a great way to learn all about ML for pennies. You can do it in a very interesting way using the Titanic data : Try Microsoft’s step by step or follow this fifteen minute YouTube video.  

 5 reasons to learn Python + 5 free learning resources – Venturi Group

…e same direction, average salaries for Python developers will continue to climb. This trend is in large part fueled by the widespread adoption and applications of big data projects. Python has become a dominant force in the world of computer science research. When combined with purpose-built numerical computation engines like NumPy and SciPy, Python has the capacity to perform complex calculations with just a single statement and function call. What’s more, libraries such as TensorFlow and Keras bring machine learning functionality into the mix. Many businesses inv… 2018-02-05 11:36:15+00:00 CloudQuant Thoughts: We love Python, it is great for beginners and power users alike, it is easy to learn (just follow some of the links in this article) and can be applied to everything from your home finance to Games to AI Cars to Algorithmic AutoTrading with CloudQuant.  

10 machine learning algorithms you should know in 2018

…The word “Big data” prevailed in 2017, and it’s going to keep prevailing in the following years. In our previous post, I’ve introduced some concepts about big data, machine learning, and data mining (see post: Understanding Big data, Data mining, and Machine Learning in 5 Minutes). Now let’s dig deeper into Machine Learning with a brief walk-through of some most commonly used ML algorithms, no codes, no abstract theories, just pictures and some examples of how they are used. The list of algorithms covered in this article include: Decision tree Random forest Logistic regr… 2018-02-01 11:58:32+00:00 CloudQuant Thoughts: A nice intro to the most commonly used ML algos.  
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