Feature selection is a crucial preprocessing step in data analytics and machine learning. Classical feature selection algorithms select features based on the correlations between predictive features and the class variable and do not attempt to capture causal relationships between them. It has been shown that the knowledge about the causal relationships between features and the class variable has potential benefits for building interpretable and robust prediction models, since causal relationships imply the underlying mechanism of a system. Consequently, causality-based feature selection has gradually attracted greater attentions and many algorithms have been proposed. In this paper, we present a comprehensive review of recent advances in causality-based feature selection. To facilitate the development of new algorithms in the research area and make it easy for the comparisons between new methods and existing ones, we develop the first open-source package, called CausalFS, which consists of most of the representative causality-based feature selection algorithms (available at https://github.com/kuiy/CausalFS). Using CausalFS, we conduct extensive experiments to compare the representative algorithms with both synthetic and real-world data sets. Finally, we discuss some challenging problems to be tackled in future causality-based feature selection research.

Do you default to primary research to gather qualitative insights? That may not always be necessary. Increasingly, cutting edge machine learning algorithms mine existing data for rich qualitative insights that can be used to inform new product development and improve marketing messaging. This webinar will provide an overview of how machine learning can be used to uncover actionable insights quickly and cost-effectively.

See how institutions are integrating new technology to create smarter campuses. I've practically grown up in the data, application, information, and tech industry. For over 18 years, I've worked with both small organizations and major corporations like Gartner and Nelnet. With Nelnet Campus Commerce, I'm proud to help our partners consider the impact future technology will have on higher education. If you still remember the rotary phone, you're very different from today's "digital natives."

Artificial Intelligence is the big thing in the world of technology. From self-driving cars to automated robots to NPCs in our games to simple things like AI processing of images in our smartphones, Artificial Intelligence is now entrenched in our daily lives. And if you are looking to have a long future as a developer and get the highest paying jobs, you need to have the required skills to work in the AI field. Thankfully, there are tons of online courses that can not only get you started on AI but also help you become a professional AI developer. To make your life easier, we have listed the 10 best Artificial Intelligence courses online that can help you in your learning journey.

AI is omnipresent becoming the norm in many facets of our everyday lives. Several businesses today have leveraged the capabilities of artificial intelligence. The moment is now -- where do you place yourself in the AI era today? Why does human resource matter more than ever in this age of artificial intelligence? It is but ironic to experience the way AI is transforming human resources -- HR professionals and HR leaders.

For 16-year-old Kraig Oramous, that means it time to apply to take the test that takes him from New Orleans to college. For now, school is Ben Franklin High School. WGNO News with a Twist fun guy Wild Bill Wood says Kraig Oramous graduates next year. He's now one of Wild Bill's Amazing Kids brought to you by your friends at the Keating Law Firm. Wild Bill says, "as a guy with limited intelligence, would you explain to me what is artificial intelligence?"

This webinar will help educators at all levels learn more about artificial intelligence (AI) and how AI concepts can be woven into many subject areas. Participants will find out how to help students understand the capabilities and potential for AI in education, business and industry, as well as how AI will impact the future of education and work. We'll also explain the everyday uses of AI and share ways for students to experiment with it using simple chatbots, machine learning and recommender systems. Webinar participants will be given multiple resources to discover more about AI and teaching it in schools, and will meet members of the AI4K12 working group who are creating guidelines for teaching it in schools.

SINGAPORE: By 2022, people living in Singapore will be able to report municipal issues via a chatbot that asks for details in real time and automatically identifies the correct government agency in charge. This will be made possible by artificial intelligence (AI), which is also set to power a tool that helps in the detection of diabetic eye disease and an automated marking system for English in primary and secondary education by the same year. More initiatives tapping on AI technologies, such as machine learning and computer vision, are in the pipeline over the next decade, according to five projects unveiled on Wednesday (Nov 13) as part of Singapore's new "National AI Strategy". The new strategy, which maps out how Singapore will develop and use AI to transform the economy and improve peoples' lives, was announced by Deputy Prime Minister Heng Swee Keat at the final day of the "Singapore FinTech Festival (SFF) x the Singapore Week of Innovation and TeCHnology (SWITCH) Conference". Describing it as the next step in Singapore's Smart Nation Journey, Mr Heng said: "Countries will need to keep pace with technology, and harness it to tackle common challenges and national priorities."

Udacity, the Silicon Valley based lifelong learning platform, announced its newest initiative to expand students' artificial intelligence skills: the Intel Edge AI Scholarship Program. This new scholarship program, announced at the Intel AI Summit and the Future of Education and Workforce Summit in San Francisco, will empower professional developers interested in advanced learning, specifically deep learning and computer vision, to accelerate the development and deployment of high-performance computer vision and deep learning solutions. Computer vision and AI at the edge are becoming instrumental in powering everything from factory assembly lines and retail inventory management to hospital urgent care medical imaging equipment like X-ray and CAT scans. This program will teach fluency in some of the most cutting-edge technologies. Upon successful completion of the first phase of the program, students will also have the opportunity to earn their way to a full scholarship to the Intel Edge AI for IoT Developers Nanodegree program, a brand-new Udacity Nanodegree program built in partnership with Intel.

I was honoured to be part of a team of International experts who recently published UNESCO report on exploring the use of Artificial Intelligence to support teachers and teacher development: Discussion report from the International Task Force on Teachers for Education 2030's Mobile Learning Week 2019 Strategy Lab. In an effort to better understand the potential role of Artificial Intelligence (AI) in education, UNESCO Mobile Learning Week 2019 was convened to focus on the role of AI and sustainable development. As a part of this flagship event, a diverse gathering of over 40 international experts in teacher education participated in a strategy lab to explore the potential use of AI to support teachers and teacher development. Please download our report through the link below.