In order to include categorical features in your Machine Learning model, you have to encode them numerically using "dummy" or "one-hot" encoding. But how do you do this correctly using scikit-learn? In this video, you'll learn how to use OneHotEncoder and ColumnTransformer to encode your categorical features and prepare your feature matrix in a single step. You'll also learn how to include this step within a Pipeline so that you can cross-validate your model and preprocessing steps simultaneously. Finally, you'll learn why you should use scikit-learn (rather than pandas) for preprocessing your dataset.

I'm Editor for the Handbook of Research on Machine Ethics and Morality reference book, interested in your research on Artificial Intelligence, robot, and human machine ethics.

With a classic problem-solution based approach and real-world examples, you will delve into things that automate your business processes. You will begin by learning about the Python modules to work with Web, Worksheets, Presentations and PDFs. You'll leverage Python recipes to automate processes in HR, Finance and making them efficient and reliable. For instance, company payroll -- an integral process in HR will be automated with Python recipes. A few chapters of this book will also help you gain knowledge on working with bots and computer vision.

Despite being AI powerhouse, Israel's academic institutions find themselves outpaced by thriving industry as many students turn to online classes Israeli universities are struggling to keep up with the demand for academic programs in the field of artificial intelligence (AI) technologies, amid a severe shortage of skilled workers in the booming sector. There are presently dozens of AI courses and tracks offered at the undergraduate and master's level in academic institutions across the country. However, there is not enough space to accommodate the number of students wishing to enroll. The lack of sufficient academic staff and programs is exacerbating the already-existing tech talent crunch, estimated at roughly 15,000 workers. Katrina Ligett, an associate professor of computer science and head of the new program on Internet and Society at the Hebrew University in Jerusalem, says that programs for cutting-edge technologies like AI are still very young and will need time to catch up.

FlightSmart uses that training data to create a customized corrective action training path that addresses identified deficiencies. Instructors will also proactively address deficiencies by optimizing a pilot's training curriculum that focuses on areas that need improvement rather than repetitive actions rooted in a fixed syllabus. FSI said FlightSmart provides a solid foundation for adaptive learning and student-specific insights and is ideal for use during training of new and experienced pilots operating both commercial and military aircraft.

Meet Ajay – he had completed his Civil Engineering 10 years back. He was then hired by one of India's largest IT services companies out of college. He started his career in a high growth industry and accordingly Ajay grew in his career. He also got married during this time and has a daughter. While everything on the surface looked fine, Ajay started feeling the heat.

Do you want to jumpstart in the Deep Learning? Are you still stuck on grasping basic concepts such as how backpropagation works? Then this workshop is for you! The goal of this workshop is to get you up to speed with the advancements in Deep Learning with a practical perspective. Along with this, you will also get to know about Keras, a tool which has been getting heavy attention from the community as it provides simple higher-level interface to build Deep Learning models.

While ranking the programs, we kept in mind the ROI. So, the biggest factor for Ranking is based upon return on investment and the skills delivery to the students. DataTrained is one of the companies working in the Retail Analytics domain. It was founded in 2012. They also impart training in data science and management space.

NEW, 4.1 (12 ratings), Created by Usama Albaghdady, English If you're a machine learning specialist looking to make the transaction into the real-world AI applications. This comprehensive course will be your guide to learning how to scale-up your machine learning model to the optimal state possible, you'll be learning everything you need to move you machine learning model to the next stage. This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science! You'll learn the machine learning, AI, and data mining techniques real employers are looking for, including:

The rise of technology within the education sector over the last few decades has been astounding. This is certainly the case if we consider that teaching with technology has become pervasive in almost every classroom environment. Within today's classroom, for example, we find ourselves surrounded by devices such as smart boards, AV, computers, laptops, tablets and phones, to name but a few technologies which are now being integrated into teaching. We have also seen the rise of the virtual learning environment and blended learning, alongside a significant rise in online education. This has allowed distance learning to take new forms and shapes and to reach greater audiences around the world.