Machine Learning’s Post

🚀 Hey Machine Learning enthusiasts! 🤖 Your thoughts are gold! I'm on a quest to understand how ML is or will be used in (your) business. Your experiences will help me come up with cool solutions that make ML work better for you. ⏰ It's a quick 5-10 minute survey and your answers are anonymous. If you're curious about the results, let me know and I'll share the results. Thank you in advance and remember that sharing is caring! https://lnkd.in/gMgsyahq #MachineLearning #DataScience #AI #Survey #Tech #Innovation

Absolutely Mo Villagran, this is such an important shift in mindset for technology and data professionals. It's a "product mind shift". - It's easy to get caught up in the technical aspects and tech skill development, but at the end of the day, the true impact of our work comes from how effectively we align with and serve business needs. - Building customer and business relationships, understanding their needs, and actively working to solve their business challenges should be at the core of our approach. - It's not just about the tools and technologies; it's about making a tangible difference and delivering value that directly contributes to the success of the organization.

Seven Steps to Success: A Seven-step Guide to Learn and Master Machine Learning (ML) https://bit.ly/3YTsr5Q

Most data professionals lack focus on stakeholders. They ask: "How can I learn AI?" "How can I learn ML and stats?" "How can I upskill with projects?" "How can I design a modern data stack at my company?" "How can I get stakeholders to use this new tool we bought?" When they should ask: "How can I help my stakeholders most?" "How can I build relationships with my stakeholders?" "How can I create trust through regular communication?" "How can I make myself useful to my stakeholders and my team?" "How can I help my stakeholders to solve business problems and increase profit?" Take the focus off yourself. Put that focus on your stakeholders. Try to be as useful as possible. The more you listen, the more value you'll deliver.

Most data professionals lack focus on stakeholders. They ask: "How can I learn AI?" "How can I learn ML and stats?" "How can I upskill with projects?" "How can I design a modern data stack at my company?" "How can I get stakeholders to use this new tool we bought?" When they should ask: "How can I help my stakeholders most?" "How can I build relationships with my stakeholders?" "How can I create trust through regular communication?" "How can I make myself useful to my stakeholders and my team?" "How can I help my stakeholders to solve business problems and increase profit?" Take the focus off yourself. Put that focus on your stakeholders. Try to be as useful as possible. The more you listen, the more value you'll deliver.

There are many ways that deep learning challenges ones assumptions when building a data centric start-up. 1. Collaboration & transfer learning. 2. Embeddings are perhaps 10000x smaller than the data itself. 3. Curse of dimensionality less applicable. Each of these is pretty profound once you start to model a business out. That's enough bread crumbs for today.

📢 The Wait is Over: Our comprehensive Machine Learning Research Report is now available 🚀 You've seen the teasers, and now it's time to dive deep into the world of successful Machine Learning projects! Machine learning has reshaped industries, but let's face it, the path to success isn't always clear. Introducing our ground-breaking research report, in partnership with the Global CxO Institute, that goes beyond the hype and unlocks the secrets to ML triumphs. 👉 Download here: https://lnkd.in/euz3XutQ 🔍 What to Expect: ✅ Insights from 100 C-Suite executives and functional heads engaged in ML across the US, UK, and Canada. ✅ Expert advice from leaders who've witnessed both triumphs and setbacks in the ML landscape. ✅ Proven strategies to align your ML projects with business goals. ✅ Actionable tips for accurate ROI estimation and cost management. Don't miss out on the opportunity to transform your machine learning endeavors into resounding victories. Tessa Jones Peter Matson Adam Ryan #machinelearning #AI #datascience #BusinessInsights #MLSuccess #ResearchReport

Understanding Loss Functions: A Key Component in Machine Learning

Another fun -- and free! -- ML course just went online thanks to Weights & Biases and taught by the accomplished ML scientist Dan Becker. Take a look and I hope we all learn new things together! This course provides simple & sophisticated techniques to help make your ML more useful & valuable to help maximize business objectives. https://lnkd.in/gmy8Sfjt #mlops #ml #mlengineer #ai #education #datascience #startup #businessanalytics #businessintelligence

Some really useful insights contained in this invaluable resource into how to avoid some of the issues that can surface when pursuing Machine Learning aspirations.