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Full stack web development and AI with Python (Django)

#artificialintelligence

This full stack web development, Django and AI combination course leads you through a complete range of software skills and languages, skilling you up to be an incredibly on-demand developer. The combination of being able to create full-stack websites AND machine learning and AI models is very rare - something referred to as a unAIcorn. This is exactly what you will be able to do by the end of this course. Whether you're looking to get into a high paying job in tech, aspiring to build a portfolio so that you can land remote contracts and work from the beach, or you're looking to grow your own tech start-up, this course will be essential to set you up with the skills and knowledge to develop you into a unAIcorn. This course will fill all the gaps in between.


Tackling Gender Diversity in Tech, One Robot at a Time - Pittsburgh Region: Next is Now

CMU School of Computer Science

If you've heard of Carnegie Mellon University's Girls of Steel, I hope it was from someone who's participated in our program and not from a robot. Maybe you saw a young woman from Girls of Steel on the news as she constructed one of the program's 120-pound robots. Or heard that she and her teammates visited and made a presentation at the White House. Perhaps you read about their work in GeekWire. While the robots tend to get a lot of media attention, our focus is more straightforward: the girls who build them.


Step by step guide to a blazing career in AI and DataScience

#artificialintelligence

If you are inclined to make AI/DataScience your career, look no further. A clear-cut go-to path for the job that you aspire for. How to read a job description? How and where do you fit in? What are the courses (free / paid) that you should undertake to be successful.


Team formation techniques in education

AIHub

Collaborative learning is gaining acceptance as one of the most successful educational approaches to learning. The basic idea is to organise learners in groups to work together and solve problems or complete tasks. There is ample evidence that when learners actively engage in discussions, listen to different viewpoints, and defend their positions, they better understand new concepts and learn faster. A particular case of collaborative learning is co-operative learning, where each student is responsible for at least one specific aspect or competence needed to solve the problem jointly. The student is improving her understanding through collaboration with others and is also responsible for the group's success concerning the aspect she is responsible for.


AIhub launches focus series on quality education

AIHub

As part of our ongoing focus on the UN sustainable development goals (SDGs), we are launching the third topic in this series: quality education. Posts on this topic will be featured on our website throughout March. We will be covering two aspects to education. Secondly, the use of AI methods to improve education generally. All levels of education will be considered, from schools to University level, from the general public to industry and professional development.


TensorFlow 2.0: A Complete Guide on the Brand New TensorFlow

#artificialintelligence

Free Coupon Discount - TensorFlow 2.0: A Complete Guide on the Brand New TensorFlow, Build Amazing Applications of Deep Learning and Artificial Intelligence in TensorFlow 2.0 4.2 (673 ratings) Created by Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin ย English [Auto-generated] Preview this Udemy Course - GET COUPON CODE 100% Off Udemy Coupon . Free Udemy Courses . Online Classes


Artificial Intelligence, BA: Online Degrees: Online Degree Programs: Indiana University

#artificialintelligence

From smart appliances and chat bots to public safety and intuitive logistics, artificial intelligence impacts our daily lives. AI reaches across platforms at enterprise scale, offering convenience, increasing productivity, and propelling innovation. The IU Online BA in Artificial Intelligence can put you at the forefront of this emerging AI landscape. As a student in this program, you develop the AI skills that employers are seeking in machine learning, bot development, robotic process automation, and cognitive computing. Problem solving lies at the core of the program, as you learn how to apply artificial intelligence, bot platforms, and frameworks to automate robotic and cognitive processes from start to finish.


How AI and Machine Learning are enhancing the learning curve for students

#artificialintelligence

Artificial Intelligence and Machine Learning applications have over the past few years made the process of learning a fun and interactive experience. Thanks to the advancements in the domain, students as well as educational institutions are now equipped with customized software tools, powered with virtual and augmented reality. At a time when remote learning has become an indispensible part of our education system, the role of technology cannot be ignored when it comes to ascertaining or determining the learning curve of any student. The foremost benefit of AI & ML with regard to the learning curve for students is that now they can generate personalized learning paths for themselves, which would help them concentrate on their shortcomings as well as strengths. On the basis of existing set of data, the technology of AI & ML can predict the outcome, becoming resourceful during the preparation of tests and examinations.


Best AI and Machine Learning Programming Languages - Penetration Testing Tools, ML and Linux Tutorials

#artificialintelligence

The world saw some big and remarkable discoveries in the 20th century. Artificial Intelligence is one of them. There was a time when AI and Machine Learning(ML) could not be applied due to a lack of computing power. But today's computers are robust enough to handle Machine Learning algorithms. That's why AI and ML are ruling in almost every field.


Future of IP--China: A closer look at governmental and regulatory support of AI

#artificialintelligence

Over the past few decades, artificial intelligence (AI) technology has been increasingly popularised and applied across various fields. Today, AI has a significant impact on our lives and is becoming a research hotspot all over the world. While AI is welcomed in many ways, there are some potential risks caused by the misuse of the technology. This includes criminal activities performed by using AI, and the violation of moral rules done by the unregulated collection of data when developing certain AI technologies. Besides the law, governmental regulations on AI are necessary to support its development and simultaneously prevent its misuse.