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.

Python is one of the most important programming language and must be part of any programmer repertoire worth their salt. Python as a general purpose high level programming language is known for its simplicity. It provides constructs which allows developer to create software with fewer lines of code enabling better readability and less complexity. It also supports multiple programming styles such as functional, object oriented, procedural and imperative. This course has been created for absolute beginners.

For the most AI online courses, they usually tech you how to use the tool and build up into your system. For my preseonal, I like this like course than "how to use" course. It is a base, so that we can have a theory backgoud to support more advanced topic and build up our AI system. Besides, teacher always use a simple example to show the "what algorithm is" it makes us very easy to understand that. For example, I knew A* manay years ago but can not understand what is heristic h and he use a MRT as an example, then I finallly understand it.

Update 23 Aug 2017: Do note that Quantopian platform will no longer support third party broker integration. Please see their website under forum. The title of the post is "Phasing Out Brokerage Integrations". This course provides you with the tools that top hedge funds used. These institutional tools include but are not limited to market data, fundamental data, sentiment analysis data, and more.

Python is the preferred choice of developers, engineers, data scientists, and hobbyists everywhere. It is a great scripting language that can power your applications and provide great speed, safety, and scalability. By exposing Python as a series of simple recipes, you can gain insight into specific language features in a particular context. Having a tangible context helps make the language or standard library feature easier to understand.This video comes with over 100 recipes on the latest version of Python. The recipes will benefit everyone ranging from beginner to an expert.

Amazon SageMaker is a fully managed machine learning service. With Amazon SageMaker, data scientists and developers can quickly and easily build and train machine learning models, and then directly deploy them into a production-ready hosted environment. It provides an integrated Jupyter authoring notebook instance for easy access to your data sources for exploration and analysis, so you don't have to manage servers. It also provides common machine learning algorithms that are optimized to run efficiently against extremely large data in a distributed environment. With native support for bring-your-own-algorithms and frameworks, Amazon SageMaker offers flexible distributed training options that adjust to your specific workflows.