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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) …
If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. In Course 3 of the deeplearning.ai TensorFlow Specialization, you will build natural language processing systems using TensorFlow. You will learn to process text, including tokenizing and representing sentences as vectors, so that they can be input to a neural network.
ACM A.M. Turing Award recipient Jack Dongarra never intended to work with computers. Initially, the Distinguished Professor at the University of Tennessee and founder of the Innovative Computing Laboratory (ICL) thought he would be a high school science teacher. A chance internship at the Argonne National Laboratory kindled a lifelong interest in numerical methods and software--and, in particular, in linear algebra, which powered the development of Dongarra's groundbreaking techniques for optimizing operations on increasingly complex computer architectures. Your career in computing began serendipitously, with a semester-long internship at Argonne National Laboratory. As an undergraduate, I worked on EISPACK, a software package designed to solve eigenvalue problems.
As a young man, Jack Dongarra thought he would probably teach science to high school students. That was his plan when he enrolled at Chicago State College, which had become Chicago State University by the time he graduated in 1972. Over the course of his studies, he began to be fascinated by computers. In his senior year, physics professor Harvey Leff suggested he apply for an internship at nearby Argonne National Laboratory, where he could gain some computing experience. There, Dongarra joined a group developing EISPACK, a software library for calculating eigenvalues, components of linear algebra that are important to performing simulations of chemistry and physics.
The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. In this Specialization, you will build and train neural network architectures such as Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, Transformers, and learn how to make them better with strategies such as Dropout, BatchNorm, Xavier/He initialization, and more. Get ready to master theoretical concepts and their industry applications using Python and TensorFlow and tackle real-world cases such as speech recognition, music synthesis, chatbots, machine translation, natural language processing, and more. AI is transforming many industries. The Deep Learning Specialization provides a pathway for you to take the definitive step in the world of AI by helping you gain the knowledge and skills to level up your career.
Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. In the coming weeks, students around the nation will hear their names read aloud, walk across a platform and move their tassels to signify graduation from high school or college. After years of working toward receiving their diploma or degree, they are now off to start a new adventure in their lives. And, for others, there may be the apprehension of not knowing what is next. As a college president, here are five pieces of advice I have for graduating seniors.
As the metaverse industry is expected to be an $800 billion market by 2024, we continue to learn new ways this immersive, virtual environment might better enable us to connect with each other from anywhere in the world. This comes at a time when many are already participating in and benefitting from virtual activities that otherwise would not be possible due to constraints of distance, time or cost. In enabling new opportunities for virtual rather than in-person instruction, the metaverse has the power to transform access to education and the way we learn. The types of education that the metaverse can accommodate are varied, from school-based interactive learning and workplace training to professional accreditation. In so many ways, the metaverse is offering new chances for people to learn what they want by mitigating obstacles of accessibility.
Artificial Intelligence (AI) is a fast-growing and evolving field, and data scientists with AI skills are in high demand. The field requires broad training involving principles of computer science, cognitive psychology, and engineering. If you want to grow your data scientist career and capitalize on the demand for the role, you might consider getting a graduate degree in AI. U.S. News & World Report ranks the best AI graduate programs at computer science schools based on surveys sent to academic officials in fall 2021 and early 2022. Here are the top 10 programs that made the list as having the best AI graduate programs in the US.
The Indian Institute of Technology (IIT), Roorkee is offering a five-month online course on data science and machine learning (ML). The course is conducted by Imarticus Learning in association with iHUB DivyaSampark to enable candidates to leverage data Science and ML for effective decision-making. Prof Sudeb Dasgupta, project director of iHUB DivyaSampark said in a press release, "We bring iHUB DivyaSampark's expertise in building outstanding programs with IITs and Imarticus' technical expertise to deliver an outstanding learning experience through a holistic approach. Together, we envision creating a skilled workforce for innovation and digital growth." For more information, go through the brochure.
Damian Radcliffe is a digital analyst, journalist, and researcher with 20 years of experience. As Middle East nations look to pivot from petro-chemical to knowledge-based economies, skilling up the region's IT and tech workforce is growing in importance. While high-profile spending on infrastructure and startups tends to dominate the headlines, a number of efforts designed to build IT skills and capacity are also underway, with coding being one area seeing considerable investment. According to Salim Abid, Google's regional lead of developer ecosystem in MENA, Google trained more than 700,000 developers across MENA in 2021, 35% of whom were women. Participants were trained by Googlers and Google Developer Experts; local experts that joined events organised by Google Developer Groups, Women Techmakers communities, Google Developers Students clubs and other local organisations.
Welcome to the course on Data Science & Deep Learning for Business 20 Case Studies! This course teaches you how Data Science & Deep Learning can be used to solve real-world business problems and how you can apply these techniques to 20 real-world case studies. Traditional Businesses are hiring Data Scientists in droves, and knowledge of how to apply these techniques in solving their problems will prove to be one of the most valuable skills in the next decade! "I'm only half way through this course, but i have to say WOW. It's so far, a lot better than my Business Analytics MSc I took at UCL. The content is explained better, it's broken down so simply. Some of the Statistical Theory and ML theory lessons are perhaps the best on the internet! "It is pretty different in format, from others.