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50+ Free Online Courses and Webinars on Artificial Intelligence in Healthcare -- Class Central

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The course will be taught through a combination of lecture and project sessions. Lectures on specialized AI applications (e.g., cancer/depression diagnosis and treatment) will feature guest speakers from academia and industry. The information recommendation part of this course in 2021 will address the problem of global political polarization. Students will be assigned to work on a term project that is relevant to their fields of study (e.g., CS, Medicine, and Data Science). Projects may involve conducting literature surveys, formulating ideas, and implementing these ideas.


29. Udacity

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Some of the other courses the company offers include artificial intelligence, machine learning, digital marketing, product management, data analysis,ย โ€ฆ


How AI Is Accelerating Business Growth and Innovation

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Despite the many ominous connotations trumpeted in works of fiction, the adoption and growth of AI can is simply another phase of the technological advance that has marked the development of human society. Yet, because we associate intelligence with living creatures, particularly our own species, the idea of machines that possess that faculty excites some trepidation. AI agents may turn out to be as unpredictable and perverse as any intelligent human. No such worry is evident in Silicon Valley. Sundar Pichai, Google's chief, speaking at the World Economic Forum in Davos, Switzerland, enthused about the technology: "AI is probably the most important thing humanity has ever worked on. I think of it as something more profound than electricity or fire," he said. Google is a major participant in an AI market that is clipping along at a five-year compound annual growth rate (CAGR) of 17.5%. Globally, the industry is projected to swell to $554.3 billion by 2024. Other players of note are IBM, Intuit, Microsoft, OpenText, Palantir, SAS, and Slack.


Become an AI Product Manager

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You'll learn how to evaluate the business value of an AI product. You'll start by building familiarity and fluency with common AI concepts. You'll then learn how to scope and build a data set, train a model, and evaluate its business impact. Finally, you'll learn how to ensure a product is successful by focusing on scalability, potential biases, and compliance. Along the way, you'll review case studies and examples to help you focus on how to define metrics to measure the business value for a proposed product.


11 Best Machine Learning Courses on Udemy for Beginners

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Note: We included courses with more than 800 reviews and a rating of 4.2 stars or better. Machine Learning, Data Science and Deep Learning with Python Description: If you've got some programming or scripting experience, this course will teach you the techniques used by real data scientists and machine learning practitioners in the tech industry โ€“ and prepare you for a move into this hot career path. This comprehensive machine learning tutorial includes over 100 lectures spanning 14 hours of video, and most topics include hands-on Python code examples you can use for reference and for practice. Each concept is introduced in plain English, avoiding confusing mathematical notation and jargon. It's then demonstrated using Python code you can experiment with and build upon, along with notes you can keep for future reference.


[coupon offer] Sale : Udemy: Artificial Intelligence: All you really need to know: offer

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Description: Udemy The lay person s guide to Artificial Intelligence, Machine Learning, Deep Learning and Natural Language Processing. Udemy: Artificial Intelligence: All you really need to know Vist the site for exciting discout and offers. We are "the Internet Affiliate", is an independent contractor for the vendor, and is providing internet affiliate services to the company via the internet for which we may earn financial compensation from vendor.


Confronting Structural Inequities in AI for Education

arXiv.org Artificial Intelligence

Educational technologies, and the systems of schooling in which they are deployed, enact particular ideologies about what is important to know and how learners should learn. As artificial intelligence technologies -- in education and beyond -- have led to inequitable outcomes for marginalized communities, various approaches have been developed to evaluate and mitigate AI systems' disparate impact. However, we argue in this paper that the dominant paradigm of evaluating fairness on the basis of performance disparities in AI models is inadequate for confronting the structural inequities that educational AI systems (re)produce. We draw on a lens of structural injustice informed by critical theory and Black feminist scholarship to critically interrogate several widely-studied and widely-adopted categories of educational AI systems and demonstrate how educational AI technologies are bound up in and reproduce historical legacies of structural injustice and inequity, regardless of the parity of their models' performance. We close with alternative visions for a more equitable future for educational AI research.


Computer Vision with Python ($19.99 to FREE)

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Welcome to the ultimate online course on Python for Computer Vision! This course is your best resource for learning how to use the Python programming language for Computer Vision. We'll be exploring how to use Python and the OpenCV (Open Computer Vision) library to analyze images and video data. The most popular platforms in the world are generating never before seen amounts of image and video data. Now more than ever it's necessary for developers to gain the necessary skills to work with image and video data using computer vision.


NLP Basic Course for Beginner ($19.99 to FREE)

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Welcome to the best Natural Language Processing course on the Udemy! This course is designed to be your complete online resource for learning how to use Natural Language Processing with the Python programming language. In the course we will cover everything you need to learn in order to become a world class practitioner of NLP with Python. We'll start off with the basics, learning how to open and work with text, as well as learning how to use regular expressions to search for custom patterns inside of text files. Afterwards we will begin with the basics of Natural Language Processing, utilizing the Natural Language Toolkit library for Python, as well as the state of the art Spacy library for ultra fast tokenization, parsing, entity recognition, and lemmatization of text.