Tag Archives: ai

Microsoft’s Free Courses: Data Science, Machine Learning, AI

data science for beginners - free course by microsoft

Are you keen on diving into the world of data science, machine learning, or artificial intelligence? Have you been searching for courses that not only teach the fundamentals but are also free and accessible? Look no further! Microsoft has put together three distinct courses that will cater to your interests and ignite your passion for learning. Data Science for Beginners This course offers an ideal starting point for those new to data science, focusing on the basics and guiding through practical exercises. The course would help you demystify the complex world of data, allowing you to make informed decisions in various fields such as business, healthcare, and more. Each lesson …

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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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7 Free MIT AI / Machine Learning Courses: Enroll Now!

mit courses on machine learning

Are you eager to dive into the world of machine learning and AI but worried about the costs? Are you fascinated by how data analytics can shape the future of various industries? What if you could access top-notch education from one of the leading institutions in the world, absolutely free? In the next six months, MIT is offering seven upcoming free courses designed to equip you with the knowledge and skills in machine learning, AI, and data analytics. Whether you’re a seasoned professional looking to upskill or a beginner ready to embark on a new journey, these courses provide an incredible opportunity. In this blog, we’ll delve into the details …

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Exploring Amazon Science Publications: A Quick Guide

Amazon science publications

In the ever-evolving world of technology and research, staying updated with the latest advancements is crucial. Amazon Science Publications has emerged as a treasure trove for those hungry for knowledge, offering a plethora of articles that span a wide range of topics. Whether you’re an AI / ML researcher, a student, or just a curious mind, this platform has something for everyone. Let’s delve into the vast ocean of articles available on Amazon Science Publications. Research Areas: Tags: Conferences: Journals: Date: Whether you’re looking for the latest articles from 2023 or want to revisit the gems from 2015, Amazon Science Publications has got you covered. With articles spanning from 2015 …

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Large Language Models (LLMs) & Semantic Search

Large Language Models and Semantic Search

Ever scratched your head wondering how a few typed words can bring up the precise information you need from the sprawling web? That’s the work of something called Large Language Models or LLMs, like the GPT-series from OpenAI. These large language models (LLMs) can be used to search that needle-in-a-haystack piece of information you’re after. So, how do they do it? They use smart techniques like Dense Retrieval, Reranking, and Generative Search. In this blog, you will learn about these great techniques in an easy-to-understand way. Dense Retrieval Dense retrieval is a departure from traditional information retrieval approaches that often rely on sparse features like Bag-of-Words (BoW) and Term Frequency-Inverse …

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Loan Eligibility / Approval & Machine Learning: Examples

loan eligibility prediction using machine learning

It is no secret that the loan industry is a multi-billion dollar industry. Lenders make money by charging interest on loans, and borrowers want to get the best loan terms possible. In order to qualify for a loan, borrowers are typically required to provide information about their income, assets, and credit score. This process can be time consuming and frustrating for both lenders and borrowers. In this blog post, we will discuss how AI / machine learning can be used to predict loan eligibility. As data scientists, it is of great importance to understand some of challenges in relation to loan eligibility and how machine learning models can be built …

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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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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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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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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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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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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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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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