If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Indian Institute of Technology (IIT) Roorkee has partnered with Coursera, to launch new certificate programs in Artificial Intelligence (AI) and Machine Learning (ML), and the other one in Data Science. IIT Roorkee will launch both these programs on Coursera in early 2021. The six-month certificate program in Artificial Intelligence and Machine Learning will consist of video lectures, hands-on learning opportunities, team projects, tutorials, and workshops. In addition to providing the coding knowledge and mathematics necessary for building AI and ML expertise, the program will also teach classical ML techniques and provide hands-on programming experience with Tensorflow for model building, robust ML production, and powerful experimentation. The certificate program in Data Science claims to equip professionals looking to build skills in data science, machine learning, critical thinking, data collection, data visualization, and data management. The program will help develop Python and SQL programming skills necessary for a career in data analytics.
The Stanford Center for Health Education has launched an online program on Artificial Intelligence in Healthcare. Designed for technology professionals, computer scientists, and healthcare providers, the program aims to advance the delivery of patient care and improve global health outcomes through artificial intelligence and machine learning. The online program will be taught by faculty from Stanford Medicine. The program's goal is to foster a common understanding of the potential for AI to safely and ethically improve patient care. "Effective use of AI in healthcare requires knowing more than just the algorithms and how they work," says Nigam Shah, associate professor of medicine and biomedical data science, the faculty director of the new program.
Don't let the Gen Zers fool you into thinking that the world's most spoken language is memes. While the idea of interacting by way of Spongebob clips and unflattering celebrity photos is fun, it's still not an acceptable way of communication outside of social media -- at least not yet, anyway. The list of the world's most spoken languages includes Mandarin, English, Spanish, Arabic, and Hindi, and learning them is incredibly important. Not only can gaining fluency in these languages open you up to more career opportunities, but it can also warrant you a hefty salary increase. If you want to be well-versed in these languages without using an app that pressures you every second of the day, you can pick up the World's Most Spoken Languages Bundle to beef up your multilingual skills.
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Online Courses Udemy The Data Science Course 2020: Complete Data Science Bootcamp, Complete Data Science Training: Mathematics, Statistics, Python, Advanced Statistics in Python, Machine & Deep Learning Created by 365 Careers, 365 Careers Team English [Auto-generated], French [Auto-generated], 6 more Students also bought Complete Python Bootcamp: Go from zero to hero in Python 3 Statistics for Data Science and Business Analysis Python for Data Science and Machine Learning Bootcamp Intro to Data Science: Your Step-by-Step Guide To Starting Data Analysis Excel for Beginners: Statistical Data Analysis Preview this course - GET COUPON CODE Description The Problem Data scientist is one of the best suited professions to thrive this century. It is digital, programming-oriented, and analytical. Therefore, it comes as no surprise that the demand for data scientists has been surging in the job marketplace. However, supply has been very limited. It is difficult to acquire the skills necessary to be hired as a data scientist.
Would you entrust a personal-injury claim, divorce settlement or high-stakes contract to an algorithm? A growing number of apps and digital services are betting you will, attracting millions of Silicon Valley investment dollars but raising questions about the limits and ethics of technology in the legal sphere. Among the leaders in the emergent robo-lawyering field is DoNotPay, an app dreamed up by Joshua Browder in 2015, when he was a 17-year-old Stanford University student, to help friends dispute parking tickets. The app, which relies on an artificial intelligence-enabled chatbot, became popular, and has expanded its focus to other consumer legal services. In June it hit the million-case mark, helping save people upward of $30 million since it started, Mr. Browder says. It raised a new $12 million round of funding the same month.
Afew days before my return to classroom teaching at Sichuan University, I was biking across a deserted stretch of campus when I encountered a robot. The blocky machine stood about chest-high, on four wheels, not quite as long as a golf cart. In front was a T-shaped device that appeared to be some kind of sensor. The robot rolled past me, its electric motor humming. I turned around and tailed the thing at a distance of fifteen feet.
It's no secret that the legal field is a competitive environment. Junior lawyers are undeterred by (and perhaps even attracted to) the cutthroat nature of the business, and one-upping the competitor is necessary to get a job in the legal field. Firms turn to the latest and greatest tech development to compete with each other and "keep up with the [legal] Joneses." In 2019 alone, investments in B2B legal tech soared past $1 billion. It's clear to many, however, that law firms must incorporate new legal tech developments in order to attract top talent, remain a top competitor, and mold their junior lawyers to be better than the next. I'd argue that the addition of AI in law firms of tomorrow won't mean fewer jobs, but actually more opportunities--for everyone.
Machine Learning is one of the most exciting fields in the hi-tech industry, gaining momentum in various applications. Companies are looking for data scientists, data engineers, and ML experts to develop products, features, and projects that will help them unleash the power of machine learning. As a result, a data scientist is one of the top ten wanted jobs worldwide! The "Machine Learning for Absolute Beginners" training program is designed for beginners looking to understand the theoretical side of machine learning and to enter the practical side of data science. The training is divided into multiple levels, and each level is covering a group of related topics for a continuous step by step learning path.
The U.S. Department of Education's Institute of Education Sciences has awarded the National Center for Research on Education Access and Choice (REACH) at Tulane University a $100,000 contract to collect data from approximately 150,000 school websites across the country to see how the nation's education system is responding to the coronavirus pandemic. The project, which will track traditional public schools, charter schools and private schools, aims to quickly answer questions that are critical for understanding how students are learning when school buildings are closed. Key questions include: how many schools are providing any kind of instructional support; which are delivering online instruction; what resources are they offering to students and how do students stay in contact with teachers? "This data will also help answer important questions about equity in the school system, showing how responses differ according to characteristics like spending levels, student demographics, internet access, and if there are differences based on whether it is a private, charter or traditional public school," said REACH National Director Douglas N. Harris, Schlieder Foundation Chair in Public Education and chair of economics at Tulane University School of Liberal Arts. REACH will work in cooperation with Nicholas Mattei, assistant professor of computer science at Tulane University School of Science and Engineering, to create a computer program that will collect data from every school and district website in the country.