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Machine Learning

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The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications. This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field. This 3-course Specialization is an updated version of Andrew's pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012. It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.)


Existing EdTech That You Didn't Know You Needed - Pikmykid

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EdTech, or Educational Technology, refers to the use of technology to support and enhance teaching and learning. It can be a useful tool for educators by assisting to engage students, personalize learning, keep them safe and improve student outcomes. When it comes to the instructional methods and tools we use in our classrooms, there are several goals that educators may have in mind when selecting them. Therefore, knowing the types of technology available and the benefits of each is important. There are a variety of tools that have features promoting accessibility.


Data mining of Clinical Databases - CDSS 1

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This specialisation is for learners with experience in programming that are interested in expanding their skills in applying deep learning in Electronic Health Records and with a focus on how to translate their models into Clinical Decision Support Systems. The main areas that would explore are: Data mining of Clinical Databases: Ethics, MIMIC III database, International Classification of Disease System and definition of common clinical outcomes. Deep learning in Electronic Health Records: From descriptive analytics to predictive analytics Explainable deep learning models for healthcare applications: What it is and why it is needed Clinical Decision Support Systems: Generalisation, bias, 'fairness', clinical usefulness and privacy of artificial intelligence algorithms.


AI ChatGPT is helping CEOs think. Will it also take your job? - CBS News

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AI text generator ChatGPT, released to the public late last year, is so sophisticated that it has already demonstrated its ability to write coherent essays, generate sound legal documents and otherwise interact with humans in a convincingly conversational manner. One CEO even treats the tool from parent company OpenAI like a perennially available member of his executive team. "I ask ChatGPT to become aware of where my biases and blindspots might be, and the answers it gives are a really, really good starting point to check your thinking," Jeff Maggioncalda, CEO of online course provider Coursera, told CBS MoneyWatch. He said the tool helps him to be more thoughtful in his approach to business challenges, as well as look at topics from vantage points that differ from his own. For example, last week at the World Economic Forum meeting in Davos, Switzerland, Maggioncalda entered the following prompt: "What should I consider when giving a speech to prime ministers at Davos?" Another useful entry for business leaders would be: "What should I consider when I am restructuring my company?"


Learn how to use AI and ChatGPT with the best free online courses on Udemy

Mashable

FREE COURSES: You can find a wide range of beginner-friendly AI and ChatGPT courses(Opens in a new window)(opens in a new tab) on Udemy. Some of the best of these online courses are available for free for a limited time. We'll admit that we find the recent acceleration in artificial intelligence development a little scary, but it doesn't seem to be going anywhere, so we're going to need to get over it. If you also feel somewhat intimidated by artificial intelligence and ChatGPT, you could consider an online course from Udemy. If you can't beat artificial intelligence, you might as well join it.


5 of the best free online Python courses available this week

Mashable

The good news is that you don't need a voucher code to access these coding courses. You can simply enroll for free. It couldn't be any easier, so what's stopping you?


Data Science Learning

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A Data Science course is a educational program that focuses on teaching students the skills and knowledge needed to work in the field of data science. This can include topics such as statistics, programming, machine learning, data visualization, and more. A Data Science course may be offered at the undergraduate or graduate level and can be a part of a degree program or a standalone course. The course duration can vary, it can be a few weeks long, few months or a full semester. Data Science courses aim to provide students with a comprehensive understanding of the field, including both the theoretical and practical aspects.


20 Best Online Courses On Machine Learning [Bestseller Courses in 2023]

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Are you looking for the Best Online Courses on Machine Learning?. But confused because of so many courses available online. Your search will end after reading this article. In this article, you will find the 20 Best Online Courses on Machine Learning. So, give your few minutes to this article and find out the Best Online Courses on Machine Learning for you. Machine Learning is very powerful and popular. Many people are shifting their careers into the ML field. The reason behind the popularity of Machine Learning is its power to make useless data into more meaningful data. Machine Learning models allow us to predict of various outcomes from the data.


Visualization: Machine Learning on Python

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You've just stumbled upon the most complete, in-depth Visualization/Dimensionality Reduction course online. This course is designed to give you the Visualization/Dimensionality Reduction skills you need to become an expert data scientist. By the end of the course, you will understand Visualization/Dimensionality Reduction extremely well and be able to use the techniques on your own projects and be productive as a computer scientist and data analyst. What makes this course a bestseller? Like you, thousands of others were frustrated and fed up with fragmented Youtube tutorials or incomplete or outdated courses which assume you already know a bunch of stuff, as well as thick, college-like textbooks able to send even the most caffeine-fuelled coder to sleep.


Machine Learning with Imbalanced Data

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Welcome to Machine Learning with Imbalanced Datasets. In this course, you will learn multiple techniques which you can use with imbalanced datasets to improve the performance of your machine learning models. If you are working with imbalanced datasets right now and want to improve the performance of your models, or you simply want to learn more about how to tackle data imbalance, this course will show you how. We'll take you step-by-step through engaging video tutorials and teach you everything you need to know about working with imbalanced datasets. Throughout this comprehensive course, we cover almost every available methodology to work with imbalanced datasets, discussing their logic, their implementation in Python, their advantages and shortcomings, and the considerations to have when using the technique.