In this online course, you will be introduced to the essential techniques of text mining, understood here as the extension of data mining's standard predictive methods to unstructured text. This course will discuss these standard techniques, and will devote considerable attention to the data preparation and handling methods that are required to transform unstructured text into a form in which it can be mined.

Core ML is an exciting new framework that makes running various machine learning and statistical models on macOS and iOS feel natively supported. The framework helps developers integrate already prepared statistical and machine learning models into their apps. You will now be able to create applications that have machine learning functionality built in. Developers want to learn how to use the features inside Core ML to make their applications smarter when explored by users. These videos will show you just how to integrate machine learning into real-world applications.

This course is for students who wish to expend their knowledge about linear regression, beyond the technical details. This course is not for students without any background. Linear regression is not sexy. But you should know, that linear regression is the most important machine learning model. In practice, nearly every data science team in almost every company is using some form of linear regression to solve their problems.

In this online Python course from O'Reilly Media, you will learn how to program with the popular development language. This tutorial is designed for the beginner, and you do not need to have any experience at all with programming or development in order to learn how to program with Python using this video tutorial. Some of the topics that this course covers throughout the ultimate Python for beginners training include installing Python, data types and creating variables, input and output, decision making and repetition, iterators, list comprehension and functions. He also covers variable scope, modules - creating and using pre-built ones, object oriented programming, inheritance, exception handling and using data structures. By the completion of this python for beginners video based training course on Python programming, you will be comfortable with Python and how to apply it to developing applications.

About this course: Mathematical thinking is crucial in all areas of computer science: algorithms, bioinformatics, computer graphics, data science, machine learning, etc. In this course, we will learn the most important tools used in discrete mathematics: induction, recursion, logic, invariants, examples, optimality. We will use these tools to answer typical programming questions like: How can we be certain a solution exists? Am I sure my program computes the optimal answer? Do each of these objects meet the given requirements?

NITI Aayog is partnering with tech giant Google to work on a range of initiatives to help build Artificial Intelligence (AI) ecosystem across the country. Amitabh Kant, Chief Executive Officer, NITI Aayog, said in a statement: "India is embracing future technologies such as machine learning and AI to augment its capacity in healthcare, improve outcomes in education, develop innovative governance systems and improve overall economic productivity of the nation." "NITI's partnership with Google will unlock massive training initiatives, support start-ups and encourage AI research through Ph D scholarships, all of which contribute to the larger idea of a technologically-empowered New India," he added. Google and NITI Aayog will conduct hands-on training programmes that aim to sensitise policymakers and technical experts in governments about relevant AI tools and how they can be used to streamline governance. To help bolster the research ecosystem, one of the initiatives includes funding Indian researchers, scholars and university faculty for conducting AI-based research.

The European Aviation Safety Agency (EASA) is coming up with a law that'll require hobbyist and commercial drone pilots to acquire license before taking the drone flights. Plus, this new law will come in effect in 2019. The pilots have to sit for internet-based course and on the successful completion of the course will be provided with drone license. According to Bundesamt fur Zivilluftfahrt (BAZL), the Swiss Federal Office of Civil Aviation, Switzerland and EU will apply these laws. "You ought to learn, where and how high you are allowed to fly your drone or what influence temperature and wind can have," stated BAZL communications Chief Urs Holderegger.

It explores main concepts from basic to expert level which can help you achieve better grades, develop your academic career, apply your knowledge at work or do your research as experienced investor. Learning machine trading analysis is indispensable for finance careers in areas such as computational finance research, computational finance development, and computational finance trading mainly within investment banks and hedge funds. It is also essential for academic careers in computational finance. And it is necessary for experienced investors computational finance trading research and development. But as learning curve can become steep as complexity grows, this course helps by leading you step by step using S&P 500 Index ETF prices historical data for back-testing to achieve greater effectiveness.

Today we are launching the 2018 edition of Cutting Edge Deep Learning for Coders, part 2 of fast.ai's Just as with our part 1 Practical Deep Learning for Coders, there are no pre-requisites beyond high school math and 1 year of coding experience--we teach you everything else you need along the way. This course contains all new material, including new state of the art results in NLP classification (up to 20% better than previously known approaches), and shows how to replicate recent record-breaking performance results on Imagenet and CIFAR10. The main libraries used are PyTorch and fastai (we explain why we use PyTorch and why we created the fastai library in this article). Each of the eight lessons includes a video that's around two hours long, an interactive Jupyter notebook, and a dedicated discussion thread on the fast.ai

Welcome! "Machine Learning Prerequisites: Python Pandas & Matplotlib" is an excellent choice for both beginners and experts looking to expand their knowledge in Machine Learning field. Data Analysis is the process of examining data sets in order to draw conclusions about the information they contain, increasingly with the aid of specialized systems and software. Data analytics technologies and techniques are widely used in commercial industries to enable organizations to make more-informed business decisions and by scientists and researchers to verify or disprove scientific models, theories and hypotheses. Machine Learning Prerequisites: Python Pandas & Matplotlib offers in-depth video tutorials in which we'll dive into tons of different datasets, short and long, broken and pristine. I'll take you step-by-step through Data Analysis process using the most powerful python libraries (Numpy, Pandas and Matplotlib), from installation to visualization! .