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About this course: With every smartphone and computer now boasting multiple processors, the use of functional ideas to facilitate parallel programming is becoming increasingly widespread. In this course, you'll learn the fundamentals of parallel programming, from task parallelism to data parallelism. In particular, you'll see how many familiar ideas from functional programming map perfectly to to the data parallel paradigm. We'll start the nuts and bolts how to effectively parallelize familiar collections operations, and we'll build up to parallel collections, a production-ready data parallel collections library available in the Scala standard library. Throughout, we'll apply these concepts through several hands-on examples that analyze real-world data, such as popular algorithms like k-means clustering.

Welcome to this epic masterclass on Keras (and so much more) with our #1 data scientist and app developer Nimish Narang, creator of over 20 Mammoth Interactive courses and a top-seller on Udemy. Anyone can take this course. If you already have experience using PyCharm and running Python files and programs on the interface, you can simply skip ahead to whatever section best suits your needs. Or, you can follow the progression of this meticulously curated course especially designed to take any absolute beginner off the street and make them a data modeler. This course is divided into days, but of course you can learn at your own pace.

Carnegie Mellon University today announced it will offer an undergraduate degree in artificial intelligence. The college claims the degree will be the first of its kind in the United States. The first courses for the Bachelor of Science degree will be offered this fall. Based in Pittsburgh, Carnegie Mellon University is a storied institution in AI circles, a central figure in the development of autonomous vehicles today and historically led by figures like Herbert Simon and Alan Newell, creators of some of the earliest forms of AI. A study by U.S. News and World Report released in March declared Carnegie Mellon the best computer science college in the U.S. for artificial intelligence, followed by Massachusetts Institute of Technology (MIT), Stanford University, and the University of California, Berkeley.

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Have you ever imagined yourself being able to "communicate" with your computer and build applications that can work in a way that you want? Have you ever imagined telling your friends that you know how to code? Programming is one of the very important skills that people value a lot in this era. Not only it can help you get a well-paid software engineer job, but it can also train your brain to think in a logically manner. We are sure you agree with that but you are not sure where and how to start.

We will learn more about Scala.Scala is a general purpose programming language designed to express common programming patterns in a concise, elegant, and type-safe way. Scala smoothly integrates features of object-oriented and functional languages, enabling developers to be more productive while retaining full interoperability with Java and taking advantage of modern multicore hardware. Scala makes it easy to avoid shared state, so that computation can be readily distributed across cores on a multicore server, and across servers in a datacenter. This makes Scala an especially good match for modern multicore CPUs and distributed cloud-computing workloads that require concurrency and parallelism.Thanks to its type inference and other features, Scala is a succinct language, typically enabling developers to reduce the size of source code by at least a factor of 2 or 3 compared to Java. Scala is bundled with a rich set of developer tools, resulting in productivity comparable to languages like Ruby or Python, while retaining the performance advantages of Java.

Make a falling presents Unity game controlled by artificial intelligence. Learn Python, Java, PyCharm, Android Studio and MNIST to make apps. Become an expert at machine learning in this huge hands-on course. Learn to work in an exciting area of computer science and artificial intelligence. In this course we will train an artificial brain to make the game work.

You'll discover why Python is unique, and come to understand the data types and operators it handles. You'll learn to use its built-in functions, and write your own functions to encapsulate a series of commands. At the end of your lesson, you'll encounter a lab where you'll learn how to use a pre-trained image classifier to write a script that identifies dog breeds.

Ever wonder why Python is one of the fastest growing programming language? It seemed everyone is talking about Python nowadays. If you are looking at data analytics, Python is frequently mentioned. If you are looking at data science, they use Python. May be it is time to explore why Python is so commonly used in the data science, academic and scientific community, Artificial Intelligence, Machine Learning and Deep Learning, Algorithmic trading, Quant community and so on a so forth.