Python Regular Expressions is a hands-on course that teaches you everything you need to know about Regular Expression using Python Language. Regular Expression is a powerful text processing tool for log mining, data parsing, cleanup and preparation. Power and elegance of regular expression allows you to do complex data extraction and cleanup with very few lines of code. Over 60% of the effort in big data projects is spent on data cleanup and preparation. Data can come from variety of sources including internal databases, log files, sensor generated data, Twitter, Facebook and so forth.

Machine learning algorithms typically search for the optimal representation of data using some feedback signal (aka objective/loss function). However, most machine learning algorithms only have the ability to use one or two layers of data transformation to learn the output representation. As data sets continue to grow in the dimensions of the feature space, finding the optimal output representation with a shallow model is not always possible. Deep learning provides a multi-layer approach to learn data representations, typically performed with a multi-layer neural network. Like other machine learning algorithms, deep neural networks (DNN) perform learning by mapping features to targets through a process of simple data transformations and feedback signals; however, DNNs place an emphasis on learning successive layers of meaningful representations.

The company you work for has accumulated a lot of valuable data from its customers, all stored as text, and you need to extract some value from that data. You've spent a lot of combined time writing about what they want but no-one knows what they have written about and no-one has the time to read all the messages. This course empowers you to know how to attack this and other text analysis problems to unlock value for your organization. You'll start by seeing how NLP can help you extract useful information from large collections of text data, and how you can use the latest Python libraries for NLP. Then we'll show you how to solve a practical problem using NLP by building a spam SMS detector. You'll also learn to convert words into numbers that can be analyzed.

This workshop is intended to bring together the Machine Learning (ML), Artificial Intelligence (AI) and High Performance Computing (HPC) communities. In recent years, much progress has been made in Machine Learning and Artificial Intelligence in general. This progress required heavy use of high performance computers and accelerators. Moreover, ML and AI have become a "killer application" for HPC and, consequently, driven much research in this area. These facts point to an important cross-fertilization that this workshop intends to nourish. We invite authors to submit original work to HPML.

Machine learning, neural networks, deep learning, and artificial intelligence are all around us, and they're not going away. I will show you how to get a grasp on this ever-growing technology in this course. This course was funded by a wildly successful Kickstarter! With this course I will help you understand what machine learning is and compare it to Artificial Intelligence (AI). Together we will discover applications of machine learning and where we use machine learning daily.

About this course: Do you want to know how robots work? Are you interested in robotics as a career? Are you willing to invest the effort to learn fundamental mathematical modeling techniques that are used in all subfields of robotics? If so, then the "Modern Robotics: Mechanics, Planning, and Control" specialization may be for you. This specialization, consisting of six short courses, is serious preparation for serious students who hope to work in the field of robotics or to undertake advanced study.

Be an awesome Python Programmer now & Learn one of the most sought-after programming language by employers in 2017!. This course takes you from the very beginning steps and basics of Python until you become comfortable in using the language. We are going to first start by learning basic syntax in Python and learn the concepts of programming in Python like if statements and conditions, variables, for/while loops & functions. Then we move to the Object Oriented Programming & Learn Classes & Objects, which is probably the most important concept in all programming languages. We finally learn how to import packages in Python & use them to build our awesome apps that solves real problems.

Python is a dynamic modern object -oriented programming language. It is easy to learn and can be used to do a lot of things both big and small. Python is what is referred to as a high level language. Python is used in the industry for things like embedded software, web development, desktop applications, and even mobile apps! SQL-Lite allows your applications to become even more powerful by storing, retrieving, and filtering through large data sets easily.

This course is about the fundamental basics of financial engineering. First of all you will learn about stocks, bonds and other derivatives. The main reason of this course is to get a better understanding of mathematical models concerning the finance in the main. Markowitz-model is the first step. One of the most elegant scientific discoveries in the 20th century is the Black-Scholes model: how to eliminate risk with hedging.

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