Learning Management
Human-compatible AI becomes key to happiness
The expansion of e-commerce, distance learning in education and remote work as well as health care services during the pandemic prompted the greater use of artificial intelligence (AI) and cloud technology in order to cope with big data. AI and cloud solutions are on the rise in every field, from production to marketing. These, as well as the priorities of the business world, were the matters addressed this week at the Ventures60 event. The big data occupation has been generally translated into more overtime and more boring work. Yet, many institutions are now opting for cloud technology and artificial intelligence to protect themselves from the big data drain.
Udacity and AWS collaborate to offer more free courses in Machine Learning - CRN - India
Udacity, an online learning platform powering the careers of the future, has announced the creation of the AWS Machine Learning Scholarship Program in conjunction with Amazon Web Services (AWS). The goal for this program is to remove barriers to skills training in machine learning and to cultivate the next generation of Machine Learning (ML) leaders from underrepresented backgrounds, including Women, Black, Latinx, Indigenous and People of Color. Enrollment in the free AWS Machine Learning Foundations course begins today. "AWS strives to help level the playing field for women and people of color, who have been underrepresented in the tech industry for far too long. We are thrilled to collaborate with Udacity to make this sort of technical training more widely available and accessible. We look forward to seeing the incredible innovations in machine learning that are sure to come from this initiative," said Ladavia Drane, Global Head, Inclusion, Diversity and Equity, AWS.
Natural Language Processing Real-World Projects in Python ($19.99 to FREE)
Are you looking to land a top-paying job in Data Science, AI & Natural Language Processing? Or are you a seasoned AI practitioner who want to take your career to the next level? Or are you an aspiring data scientist who wants to get Hands-on Data Science and Artificial Intelligence? If the answer is yes to any of these questions, then this course is for you! Data Science is one of the hottest tech fields to be in right now!
Machine Learning & Data Science with Python
Machine learning is constantly being applied to new industries and new problems. Whether you're a marketer, video game designer, or programmer, my course on Udemy here to help you apply machine learning to your work. Welcome to the "Complete Machine Learning & Data Science with Python A-Z" course. Do you know data science needs will create 11.5 million job openings by 2026? Do you know the average salary is $100.000 for data science careers!
5 Online Courses I Took as a Self-Taught Data Scientist
I can't stress this enough: If you haven't already taken a machine learning course, take this one. This is the first online course I ever took, and it's the reason that 746,000 other students and I are in data science today. The course was created by data scientist Kirill Eremenko. What's better than his soothing voice is the actual material. Kirill teaches you all the knowledge you need to have a basic understanding of some of the most powerful and useful machine learning models. This includes models in regression, classification, clustering, reinforcement learning, natural language processing, and deep learning.
Learn AI Programming with Python
AI-powered increases in safety, productivity, and efficiency are already improving our world, and the best is yet to come! As it becomes increasingly evident how impactful AI can be, demand for employees with AI skills increases--demand is in fact already skyrocketing. The AI Programming with Python Nanodegree program makes it easy to learn the in-demand skills employers are looking for. You'll learn foundational AI programming tools (Python, NumPy, PyTorch) and the essential math skills (linear algebra and calculus) that will enable you to start building your own AI applications in just three months. Whether you're seeking a full-time role in an AI-related field, want to start applying AI solutions in your current role, or simply want to start learning the defining technology of our time, this is the perfect place to get started.
50+ Free Online Courses and Webinars on Artificial Intelligence in Healthcare -- Class Central
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.
How AI Is Accelerating Business Growth and Innovation
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
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.