You don’t need to be a data scientist to do machine learning, but you do need data skills. Start with these
Quelle: Machine learning skills for software engineers
We speak to Eyal Benishti, CEO of Ironscales, about using machine learning to combat phishing.
Quelle: IDG Connect – Q&A: Can machine learning help stop email phishing?
The data-driven machine learning algorithms that power AI will not only upend programming, but lower the barriers to AI itself
Quelle: Data is eating the software that is eating the world
A brief introduction to Spark MLlib’s APIs for basic statistics, classification, clustering, and collaborative filtering, and what they can do for you
Quelle: Which Spark machine learning API should you use?
How Machine Learning Technologies Are Helping The Bee Crisis
Quelle: Solving the Bee Crisis with Machine Learning
Now, when it comes to finding customers, machine learning is the main attraction.
Quelle: Machine Learning Can Help You Find Your Ideal Customer
Data plus algorithms equals machine learning, but how does that all unfold? Let’s lift the lid on the way those pieces fit together, beginning to end
Quelle: Data in, intelligence out: Machine learning pipelines demystified
Google is adding Kaggle and new APIs, as well as releasing new machine learning tools
Quelle: Google machine learning gains Kaggle and more
Scientists from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and Boston University and have joined efforts to develop brain-controlled robots.
Quelle: Robots can read your mind to fix their mistakes
That proposal, from Bill Gates, could do much to ease the social strains caused by automation.
Quelle: It’s time to tax the robots