stephan bosman

Machine Learning with Python- k-Means Clustering Getting started with Python and k-means clustering

Machine Learning with Python: k-Means Clustering

Clustering—an unsupervised machine learning approach used to group data based on similarity—is used for work in network analysis, market segmentation, search results grouping, medical imaging, and anomaly detection. K-means clustering is one of the most popular and easy to use clustering algorithms. In this course, Fred Nwanganga gives you an introductory look at k-means clustering—how it works, what it’s good for, when you should use it, how to choose the right number of clusters, its strengths and weaknesses, and more. Fred provides hands-on guidance on how to collect, explore, and transform data in preparation for segmenting data using k-means clustering, and gives a step-by-step guide on how to build such a model in Python.

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Machine Learning with Python- Foundations

Machine Learning with Python: Foundations

You’ve probably heard about machine learning before, but have you ever wondered what that term really means? How does a machine learn? Have you thought about building a machine learning model, but didn’t know where to start? In this course, Frederick Nwanganga introduces machine learning in an approachable way and provides step-by-step guidance on how to get started with machine learning via the most in-demand language in use today, Python. Frederick starts with exactly what it means for machines to learn and the different ways they learn, then gets into how to collect, understand, and prepare data for machine learning. He also provides guided examples of how to accomplish each step using Python. Finally, he brings it all together to build, evaluate, and interpret the results of a machine learning model in Python.

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generative ai for business leaders

Generative AI for business leaders

Artificial intelligence has been affecting and transforming our lives for decades. But over the past few years, AI has made incredible progress, with some applications becoming so advanced that they are quickly becoming a powerful force in various industries, with the potential to reshape entire economies—and even reshape society.

This technology is called generative AI. It will reinvent how we humans will create content. It will redefine how we work, from automating mundane tasks to writing complex code. And it will accelerate our innovation to new levels. Whether you’re a senior executive or any aspiring leader, learning how this technology works, why it can be disruptive for your business and industry, as well as its limitations, is critical for your company and your career. Join LinkedIn’s Chief Product Officer Tomer Cohen as he shows you key tools and insights to help you use generative AI to reinvent the future of your business.

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Generative AI is a tool in service of humanity

What Is Generative AI?

Whether you work in film, marketing, healthcare, automobile, or real-estate, generative AI is changing the way your job is executed, and those who adapt early will reap its benefits sooner. All professions will be affected by generative AI. Its invention can be compared to the invention of photography, a true creative revolution. If you want to be part of the leaders that are advancing this revolution, this course can get you started on your learning journey.In this course, generative AI expert Pinar Seyhan Demirdag covers the basics of generative AI, with topics including what it is, how it works, how to create your own content, different types of models, future predictions, and ethical implications.

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healthcare 2 AI blog

ChatGPT and Healthcare Sector – Part-2

A.I., Uncategorized ChatGPT and Healthcare Sector – Part-2 Thursday, March 9, 2023 ChatGPT and Healthcare Sector Part-2 ChatGPT is a conversational Artificial intelligence model created by Open-AI, according to Open-AI. It is a substantial language model that was developed using a significant amount of online text data, including books, papers, and websites. The GPT framework is

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AI healthcare image

CHATGPT in Healthcare System

Healthcare chat is a great alternative way for people to communicate with their doctors and other providers. It’s particularly useful for people who have certain communication difficulties, such as those with hearing loss, who want to stay in touch with their care team, or who want to save money on their cell phone plan. Making the most out of this communication method requires a little bit of planning and forethought, but it’s certainly worth the effort. Healthcare chat is a great option for those who want to stay in touch with their health care providers.

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What happens when an astrophysicist tests ChatGPT

What happens when an astrophysicist tests ChatGPT?

What happens when an astrophysicist tests ChatGPT?
• ChatGPT is an AI Chatbot capable of constructing sentences, essays, and more.
• It can be deceived by common misconceptions that experts know better about.
• This raises the question of whether it can learn new information and accurately discern between correct and incorrect answers.
• With three misconceptions provided as a test, the Chatbot was able to demonstrate understanding despite some unclear responses.
• It is difficult to persuade a group of learners to accept scientifically accurate information but ChatGPT was able to do this successfully.
• The ability of the Chatbot to incorporate knowledge and provide accurate answers is remarkable but also requires cautiousness in trusting its authenticity.

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