Artificial And Natural Intelligence Education (AANIE)的动态

A few years ago, Eric Siegel wrote an influential book, Predictive Analytics, which greatly contributed to demystifying our field. Eric is now back with a second book, The AI Playbook ?? Predictive Analytics explains machine learning and provides examples of its use cases. In The AI Playbook, Eric shares stories of machine learning projects, from ideation to implementation. Eric discusses the main steps of any AI project, from business understanding to deployment. He also highlights the importance of data, as illustrated by this quote from Peter Norvig (Director of Research at Google): ? "We don't have better algorithms than anyone else. We just have more data." The book's biggest added value is that it’s written for a non-technical audience. It's an enjoyable read, full of real AI use case stories. #AI #data #book #bookreview

Over 1000% ML models went into production this year! You heard it right! Kuunal Mrwah and Kobie Crawford talk about the State of Data + AI Report from Databricks on The Ravit Show! They discussed some fascinating trends, including: - The massive increase in ML model deployment—what’s behind this trend? - How are companies actually approaching GenAI, and what should they consider as they refine their strategies? - Industry-specific insights that reveal where data and AI are headed next. And the best part? You can access the State of Data + AI Report for FREE -- https://lnkd.in/dpK4tJnx Don’t miss out on this engaging conversation that promises to deliver actionable insights and expert perspectives. Link to the complete interview in the comments. #data #ai #databricks #theravitshow

Looking to enhance your organization’s AI capabilities? Our latest article explores how advanced LLM operations in Snowflake can drive greater efficiency and scalability in managing large language models. This case study provides actionable insights for data professionals aiming to stay ahead in the competitive landscape of AI and machine learning. Learn how Snowflake's robust platform can be a game-changer for your data strategy. https://hubs.ly/Q02S3ZFw0 #AI #MachineLearning #Snowflake #DataStrategy #LLM

? Techniques of Data Imputation in Machine Learning ? Handling missing data effectively is crucial in machine learning. In my latest blog, I dive into various data imputation techniques that can help maintain data integrity and improve model performance. ?? From mean, median, mode imputation to more advanced methods like KNN and Multiple Imputation , learn how to approach data gaps with confidence. Check out the full guide here: [Medium Blog Link](https://lnkd.in/dHJkpdad) #MachineLearning #DataScience #DataImputation #AI #ML #DataIntegrity #MachineLearningModels

Ever build a machine learning model that seems accurate during training, but completely falls apart on real-world data? Imbalanced datasets might be the culprit. Here's a quick hit-list to help you fight back: Resampling:?Oversample or undersample to change class distribution. Synthetic Data:?Use techniques like SMOTE to generate realistic minority class examples. Algorithm Choice:?Some algorithms (like decision trees) are inherently more robust to imbalance than others. Weighted Metrics:?Use metrics like precision, recall, and F1-score to give a more accurate picture of performance. What other strategies have worked for you? Let's share some knowledge below! ?? #MachineLearningTips #DataScience #AI

Data is the fuel for #AI, but it still takes science and engineering to build the rocket ship. ?Learn how to optimize for #analytics and #ML in our latest #datamanagement journey blog. ?? https://oal.lu/jHjyX

Data is the fuel for #AI, but it still takes science and engineering to build the rocket ship. ?Learn how to optimize for #analytics and #ML in our latest #datamanagement journey blog. ?? https://oal.lu/YyY8f

Happy Day 3 of #25DaysOfAI ! Yesterday, we gave you an overview of the 3 Steps of the AI Process: COLLECT, TRAIN, DECIDE. Read the snippet from our book #AITheMagicBox to learn more about STEP 1: COLLECT. Then, consider the thinking task below. To train your own Magic Box, you need to collect data first. What data do you think would be interesting or relevant to collect around the holidays? ???? Share your ideas with us in the comments! ?? #AI #MachineLearning #MagicBox #AANIE #DataCollection #AI ________________________________________________________________________________ ?? Want to learn more about how artificial intelligence works? Our brand new book AI: The Magic Box dives deep into the world of AI and is the perfect holiday read! ???? ?? Grab your copy today and don't forget to leave us a 5-star review on Amazon! https://a.co/d/7lMTC2A ?? Already have a copy? Share a photo of you reading your favorite page in the comments! ???

I just posted a McKinsey & Company definition of machine learning as part our preparation for our upcoming AI4RF global event in London, May 23, 2024. I always find the sources used in research like this to be of great value so if you are so inclined, here are just some of the documents they referred to or used in their work. “Author Talks: Dr. Fei-Fei Li sees ‘worlds’ of possibilities in a multidisciplinary approach to AI,” December 11, 2023 “A new and faster machine learning flywheel for enterprises,” March 10, 2023, Medha Bankhwal and Roger Roberts “The state of AI in 2022—and a half decade in review,” December 6, 2022, Michael Chui, Bryce Hall, Helen Mayhew, Alex Singla, and Alex Sukharevsky “Operationalizing machine learning in processes,” September 27, 2021, Rohit Panikkar, Tamim Saleh, Maxime Szybowski, and Rob Whiteman “An executive’s guide to AI,” November 17, 2020, Michael Chui, Vishnu Kamalnath, and Brian McCarthy “An executive’s guide to machine learning,” June 1, 2015, Dorian Pyle and Cristina San José

Over 1000% ML models went into production this year! You heard it right! Kuunal Mrwah and Kobie Crawford talk about the State of Data + AI Report from Databricks on The Ravit Show! We discussed some fascinating trends, including: - The massive increase in ML model deployment—what’s behind this trend? - How are companies actually approaching GenAI, and what should they consider as they refine their strategies? - Industry-specific insights that reveal where data and AI are headed next. And the best part? You can access the State of Data + AI Report for FREE -- https://lnkd.in/dpK4tJnx Don’t miss out on this engaging conversation that promises to deliver actionable insights and expert perspectives. Link to the complete interview in the comments. #data #ai #databricks #theravitshow