This course was funded by a wildly successful KickstarterExplore PyCharm2017.2.3 and the amazing Python 3.6.2 languageExplore Android Studio 3and the Java 8 languageDiscover applications of machine learning and where we use artificial intelligence and algorithms dailyLearn what TensorFlow1.4.1 is and how it makes machine learning development easierBuild a linear regression model to fit a line through dataLearn how to incorporate machine learning models into Android appsBuild a simple digit recognition project using the MNIST handwritten digit databaseLearn how theTensorFlow estimator differs from other computational graphsA machine learning framework for everyoneIf you want to buildsophisticated and intelligent mobile appsor simply want to know more about how machine learning works in a mobile environment, this course is for you. Be one of the firstThere are next tonocourses on big platformsthat focus onmobilemachine learning in particular. All of them focus specifically on machine learning for a desktop or laptop environment. Weprovideclear, concise explanationsat each step along the way so that viewers can not only replicate, but alsounderstand andexpandupon what I teach. Othercourses dont do a great job of explaining exactly what is going on at each step in the process and why we choose to build models the way we do. No prior knowledge is requiredWe will teach you all you need to know about the languages, software and technologies we use. If you have lots of experience building machine learning apps, you may find this course a little slow because its designed for beginners. Jump into a field that has moredemandthan supplyMachine learning changes everything. Its bringing us self-driving cars, facial recognition and artificial intelligence. And the best part is: anyone can create such innovations. Enroll now to start the next step of your career
