Image semantic segmentation is one of the most significant areas of research and engineering in the computer vision domain. From segmenting pedestrians and cars for autonomous drive [1] to segmentation and localization of pathology in medical images [2], there are several use-cases of image segmentation. With the wide-spread use of deep learning models for end-to-end delivery for machine learning (ML) models, the U-net model has emerged as a scalable solution across autonomous drive and medical imaging use-cases [3–4]. However, most existing papers and methods implement binary classification tasks for detecting objects/regions of interest over the backgrounds [4]. In this hands-on tutorial we will review how to start from a binary semantic segmentation task and transfer the learning to suit multi-class image segmentation tasks.

The Quarterly CS Econ Workshop brings in three or four experts at the interface between computer science and economics to present their perspective and research on a common theme. Chicago area researchers with interest in economics and computer science are invited to attend. The technical program is in the morning and includes coffee and lunch (on your own). The afternoon of the workshop will allow for continued discussion between attendees and the speakers. The workshop series is organized by Jason Hartline, Benjamin Golub, Annie Liang, Marciano Siniscalchi, and Alireza Tahbaz-Salehi.

Embedded machine learning applications power every modern aspect of our modern life. From Siri to fitness wearables, space rovers to medical implants, you will find tiny instructions embedded on micronized hardware that delivers magical and important experiences. At Edge Impulse, our mission is to enable any developer to use machine learning to build better products while making it easier for them to get started and be successful. We teamed up with instructor Shawn Hymel, Coursera, Arm, Arduino and the tinyML Foundation to bring you the ultimate course to get you started with embedded machine learning. This course is an important piece of our journey and mission, and we aim to reach millions of developers so they can make machine learning part of their stack.

Basin hopping is a global optimization algorithm. It was developed to solve problems in chemical physics, although it is an effective algorithm suited for nonlinear objective functions with multiple optima. In this tutorial, you will discover the basin hopping global optimization algorithm. Basin Hopping Optimization in Python Photo by Pedro Szekely, some rights reserved. Basin Hopping is a global optimization algorithm developed for use in the field of chemical physics.

Having one of these in your resume can make a lot of difference. Data science is one of the most versatile fields ever around; even its name is not very explanatory of what the field actually involves. Perhaps that's one reason people find this field quite challenging and difficult to get into and even more difficult to show professionalism. It is well known within the data science community that to be a "good" data scientist is all about how strong of a portfolio you build, how diverse your projects are, and how well they show your ability to solve any problem creatively and efficiently. Although being a data scientist -- or have a specialty in any of its branches -- doesn't require a university degree, having some certificate that proves your profession in some aspects of the field can transform your portfolio and take your career on step further.

Description Python is the most emerging programming language in the world. It is used for web and software development. It has a lot of things that you can't consider in other programming languages. You will learn and everything by coding the programs. This course will take you from beginner to expert in Python, easily and smartly.

Artificial Intelligence (AI) is revolutionizing the way we live and work, so today I invite you to learn more about this topic by approaching it from three different and increasingly complex segments. Broadly speaking, we can refer to AI as the simulation of human intelligence by machines. In other words, a discipline that tries to create systems capable of learning and reasoning like people . Importantly, Artificial Intelligence is the most debated technology of the 21st century. Today, it is widely used to solve complex problems and facilitate human tasks.

A couple of days ago I started thinking if I had to start learning machine learning and data science all over again where would I start? The funny thing was that the path that I imagined was completely different from that one that I actually did when I was starting. I'm aware that we all learn in different ways. Some prefer videos, others are ok with just books and a lot of people need to pay for a course to feel more pressure. And that's ok, the important thing is to learn and enjoy it.

Computer science degrees are a good choice for students as the range of roles open to graduates continues to grow. From supporting IT infrastructure at a company, to creating apps or to working in banks and financial services, there is a huge range of paths available to computer science graduates. The UK is home to some of the most prestigious universities in the world, many of which are involved at the cutting edge of computer science research and are bolstered by a steady stream of dedicated grants and funding. There are full-time, part-time and flexible-study options, as well as courses with a placement year in industry, known as sandwich courses. Below are the best universities in the UK for computer science degrees.

This is a more traditional course than the others on this list, so if you like structured learning, you will find this course better suited to you. In this course, you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts, and terms like Machine learning, Deep learning, and Neural networks. You will also explore different issues and concerns surrounding AI, such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI. You will also demonstrate AI in action with a mini-project. By the way, if you find Coursera courses and specialization useful then you should also join the Coursera Plus, a subscription plan from Coursera which provides you unlimited access to their most popular courses, specialization, professional certificate, and guided projects.