Few data science projects are exempt from the necessity of cleaning data. Data cleaning encompasses the initial steps of preparing data. Its specific purpose is that only the relevant and useful information underlying the data is retained, be it for its posterior analysis, to use as inputs to an AI or machine learning model, and …
In our previous exploration of penalized regression models such as Lasso, Ridge, and ElasticNet, we demonstrated how effectively these models manage multicollinearity, allowing us to utilize a broader array of features to enhance model performance. Building on this foundation, we now address another crucial aspect of data preprocessing—handling missing values. Missing data can significantly compromise …
Read more “Filling the Gaps: A Comparative Guide to Imputation Techniques in Machine Learning”
Choosing a machine learning (ML) library to learn and utilize is essential during the journey of mastering this enthralling discipline of AI. Understanding the strengths and limitations of popular libraries like Scikit-learn and TensorFlow is essential to choose the one that adapts to your needs. This article discusses and compares these two popular Python libraries …
Read more “Comparing Scikit-Learn and TensorFlow for Machine Learning”
Since I was unceremoniously demoted while talking,on a complex issue of how it is not easy for me to socialize in an X Space by @MEGAPROMPTERI thought about it a bit more and have some thoughts to share. [Steve] I am unlikely to ever be allowed to speak in this Space again (I am sure …
Managing cloud costs and understanding resource usage can be a daunting task, especially for organizations with complex AWS deployments. AWS Cost and Usage Reports (AWS CUR) provides valuable data insights, but interpreting and querying the raw data can be challenging. In this post, we explore a solution that uses generative artificial intelligence (AI) to generate …
Read more “Unlock AWS Cost and Usage insights with generative AI powered by Amazon Bedrock”
Earlier this year, tens of thousands of developers gathered in Las Vegas for Google Cloud Next ’24, which culminated in hundreds of sessions and over 200 announcements. During the Developer Keynote, we showcased how Gemini can help with the shopping experience of an online store. Let’s dive into this demo and how it all worked …
Read more “Test it out: an online shopping demo experience with Gemini and RAG”
Two new AI systems, ALOHA Unleashed and DemoStart, help robots learn to perform complex tasks that require dexterous movement
Organizations generate vast amounts of data that is proprietary to them, and it’s critical to get insights out of the data for better business outcomes. Generative AI and foundation models (FMs) play an important role in creating applications using an organization’s data that improve customer experiences and employee productivity. The FMs are typically pretrained on …
Read more “Build a RAG-based QnA application using Llama3 models from SageMaker JumpStart”
A research team has made a major discovery by designing molecules that could revolutionize computing.
ChatGPT creator OpenAI on Thursday released a new series of artificial intelligence models designed to spend more time thinking—in hopes that generative AI chatbots provide more accurate and beneficial responses.