Tag Archives: ai

Online US Degree Courses & Programs in AI / Machine Learning

online degree courses and programs in machine learning in US Universities

Data Science & AI / Machine learning has emerged as a transformative field, revolutionizing industries and shaping the future of technology. As the demand for professionals skilled in machine learning continues to rise, top universities in the United States (USA) have recognized the need to offer online degree courses and programs in this dynamic field. Through these online offerings, students can now access world-class education and earn prestigious degrees from the comfort of their own homes, while benefiting from the expertise of renowned faculty members. In this blog post, we present a curated list of leading US universities that provide online degree courses and programs in machine learning. Whether you …

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Posted in Career Planning, Online Courses. Tagged with , , , .

Facebook Responsible AI: Lessons, Examples

meta facebook responsible ai examples lessons

As technology continues to advance, it’s important that we prioritize ethical considerations and ensure that the development and deployment of AI technologies are responsible and fair. Meta (formerly known as Facebook) recognizes the importance of responsible AI and has taken several steps to ensure that their AI systems are developed and deployed in an ethical and fair manner. In this blog post, we’ll be exploring the latest responsible AI updates from Meta, which every company should take into consideration when developing and implementing their own AI strategies and systems. I will keep the blog short and crisp. If you want greater details, visit this page. Use Varied Datasets & Robust …

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Posted in AI, Ethical AI, Responsible AI. Tagged with , .

Andrew Ng & OpenAI ChatGPT Prompt Engineering Course

openai andrew ng chatgpt prompt engineering for developers

Renowned artificial intelligence (AI) experts, Andrew Ng from DeepLearning.ai and Isa Fulford from OpenAI, have teamed up to offer an exciting new course on prompt engineering, titled “ChatGPT Prompt Engineering for Developers“. The course, which is completely free, aims to help developers better understand the prompts design and implementation for various use cases. The ChatGPT Prompt Engineering course is specifically tailored for developers including data scientists who wish to learn more about designing prompts for different tasks including software development (coding), marketing, creating product reviews & description, writing essay, summarizing text etc. It includes several important topics such as summarizing, inferring, transforming, expanding and chatbot building. These skills are essential …

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Posted in AI, Generative AI, Software Engg. Tagged with , .

Linear Regression Explained with Real Life Example

Multiple linear regression example

In this post, the linear regression concept in machine learning is explained with multiple real-life examples. Both types of regression models (simple/univariate and multiple/multivariate linear regression) are taken up for sighting examples. In case you are a machine learning or data science beginner, you may find this post helpful enough. You may also want to check a detailed post on what is machine learning – What is Machine Learning? Concepts & Examples. Before going into the details, lets look at a small poem which can help us remember the concept of linear regression. Hope you like it. Linear Regression, a machine learning delight Fitting a line, to make predictions right …

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Amazon Bedrock to Democratize Generative AI

AWS amazon bedrock generative ai

Amazon Web Services (AWS) has announced the launch of Amazon Bedrock and Amazon Titan foundational models (FMs), making it easier for customers to build and scale generative AI applications with foundation models. According to AWS, they received feedback from their select customers that there are a few big things standing in their way today in relation to different AI use cases. First, they need a straightforward way to find and access high-performing FMs that give outstanding results and are best-suited for their purposes. Second, customers want integration into applications to be seamless, without having to manage huge clusters of infrastructure or incur large costs. Finally, customers want it to be …

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Meta AI Announces Advancements in Embodied AI: Artificial Visual Cortex & Adaptive Skill Coordination

embodied ai - artificial visual cortext - adaptive skill coordination

Meta AI has announced two major advancements in general-purpose embodied AI agents, focusing on challenging sensorimotor skills. These advancements include an artificial visual cortex called VC-1 and a new approach called Adaptive Skill Coordination (ASC). Both developments offer valuable benefits to data scientists and researchers in the field of AI. Embodied AI is field of AI focused on agents that can perceive, understand, and interact with their environment through sensorimotor experiences. It aims to create AI systems that can perform tasks in the physical world, bridging the gap between abstract thought and reasoning, and physical actions. VC-1 is a single perception model that supports a diverse range of sensorimotor skills, …

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Hypothesis Testing Steps & Examples

Hypothesis Testing Workflow

Hypothesis testing is a technique that helps scientists, researchers, or for that matter, anyone test the validity of their claims or hypotheses about real-world or real-life events in order to establish new knowledge. Hypothesis testing techniques are often used in statistics and data science to analyze whether the claims about the occurrence of the events are true, whether the results returned by performance metrics of machine learning models are representative of the models or they happened by chance. This blog post will cover some of the key statistical concepts including steps and examples in relation to what is hypothesis testing, how to formulate them and how to use them in …

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Machine Learning Concepts & Examples

Machine Learning Modeling Workflow

Machine learning is a machine’s ability to learn from data. It has been around for decades, but machine learning is now being applied in nearly every industry and job function. In this blog post, we’ll cover a detailed introduction to what is machine learning (ML) including different definitions. We will also learn about different types of machine learning tasks, algorithms, etc along with real-world examples. What is machine learning & how does it work? Simply speaking, machine learning can be used to model our beliefs about real-world events. For example, let’s say a person came to a doctor with a certain blood report. A doctor based on his belief system …

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Posted in Data Science, Deep Learning, Machine Learning. Tagged with , , .

AI Product Manager Interview Questions

interview questions for machine learning

AI has become such an integral part of our lives that it is important to hire professionals who can help create AI / machine learning products that will be used by many people. These AI product manager interview questions will give you insight into your product manager candidate’s experience, skills, and industry knowledge so that you can get prepared in a better manner before appearing for your next interview as an AI product manager. Check out a detailed interview questions and answers with greater focus on machine learning topics. Before getting into the list of interview questions, lets understand what can be the job description of an AI product manager. …

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Posted in AI, Career Planning, Interview questions, Machine Learning, Product Management. Tagged with , , .

Building AI-powered Organization & Cultural Traits

AI powered organization and cultural traits

Artificial Intelligence (AI) has become an integral part of many organizations’ operations. From customer service to supply chain management, AI is increasingly being used to automate and streamline processes. However, AI can do more than just help you run your business more efficiently; it can also be used to build organizational culture and foster data-driven decision making in general while leveraging analytical tools & techniques. Let’s take a look at how AI-powered organizational and cultural traits can help improve the workplace. The following picture is a summary of cultural traits in AI-driven organization Be Curious The adoption of artificial intelligence (AI) within an organization can enhance curiosity in several ways. …

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Challenges for Machine Learning / AI Projects

Challenges related to Machine Learning Projects Implementations

In this post, you will learn about some of the key challenges in relation to achieving successful AI / machine learning (ML) or Data science projects implementation in a consistent and sustained manner. As AI / ML project stakeholders including senior management stakeholders, data science architects, product managers, etc, you must get a good understanding of what would it take to successfully execute AI / ML projects and create value for the customers and the business.  Whether you are building AI / ML products or enabling unique models for your clients in SaaS setup, you will come across most of these challenges.  Understanding the Business Problem Many times, the nature …

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Posted in AI, Machine Learning. Tagged with , .

Supply chain management & Machine Learning

supply chain management and AI and Machine Learning use cases

As supply chains become more complex, businesses are looking for new ways to optimize and automate their supply chain operations. One area that is seeing a lot of growth is the use of artificial intelligence (AI) and machine learning in supply chain management. There are many different applications for these technologies in supply chain management, from forecasting demand to optimizing inventory levels. In this blog post, we will explore some of the most interesting use cases for AI and machine learning in supply chain management. What is supply chain management and what are its key components? Supply chain management is the process of coordinating and controlling the flow of goods, …

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Posted in AI, Machine Learning, Supply chain management. Tagged with , , .

Weak Supervised Learning: Concepts & Examples

weak supervised learning

Supervised learning is a type of machine learning algorithm that uses a labeled dataset to learn and generalize from. The labels act as supervisors, providing the algorithm with feedback so it can learn to map input data to the correct output labels. In this blog post, we’ll be focusing on weak supervised learning, a subset of supervised learning that uses only partially labeled or unlabeled data. We’ll cover some of the most common weak supervision techniques and provide examples of each. What is Weak Supervised Learning? Weak supervised learning is a type of machine learning where the learner is only given a few labels to work with. Weak supervision is …

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Healthcare Claims Processing AI Use Cases

healthcare claims processing use cases AI and machine learning

In recent years, artificial intelligence (AI) / machine learning (ML) has begun to revolutionize many industries – and healthcare is no exception. Hospitals and insurance companies are now using AI to automate various tasks in the healthcare claims processing workflow. Claims processing is a complex and time-consuming task that often requires manual intervention. By using AI to automate claims processing, healthcare organizations can reduce costs, improve accuracy, and speed up the claims adjudication process. In this blog post, we will explore some of the most common use cases for healthcare claims processing AI / machine learning. Automated Data Entry One of the most time-consuming tasks in the claims process is …

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Posted in AI, Data Science, Healthcare, Machine Learning. Tagged with , , , .

ESG & AI / Machine Learning Use Cases

ESG AI use cases

Environmental, social, and governance (ESG) factors are a set of standards used to evaluate a company’s performance on issues that have an impact on society and the environment. AI or machine learning can be used to help identify these factors. In this blog post, we will explore some use cases for how AI / machine learning can be used in conjunction with ESG factors. The following is a list of AI use cases related ESG. This list will be updated from time-to-time.  Predict ESG ratings using fundamental dataset: Investors (asset managers and asset owners) started to assess companies based on how they handle sustainability issues. To do this assessment, investors …

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Posted in AI, ESG, Machine Learning. Tagged with , , , .

Predicting Customer Churn with Machine Learning

Customer churn prediction using machine learning

Customer churn, also known as customer attrition, is a major problem for businesses that rely on recurring revenue. Customer churn costs businesses billions of dollars every year, and it’s only getting worse as customers become more and more fickle. In fact, it’s been estimated that the average company loses 10-15% of its customers each year. That number may seem small, but it can have a huge impact on a company’s bottom line. Fortunately, there’s a way to combat churn: by using machine learning to predict which customers are likely to churn. In this blog post, we’ll discuss how customer churn prediction works and why it’s so important. We’ll also provide …

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