1/ Course overview (Life cycle of ML models) – ML modeling and Experiment tracking:
This includes ML model training and trekking each and every experiment to compare different models & deploy best model
tracking includes model parameters, accuracy measures, & model versioning
DATA
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ML Model Lifecycle: Experiment Tracking and Deployment
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MLOps Zoomcamp Week 1: Introduction and Maturity Model
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Here's an update from week 1 of MLOps Zoomcamp by @DataTalksClub This week was about introduction to MLOps, setting up an environment, and the MLOps maturity model. A thread
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Alteryx Inspire 2026: Future Analytics Product Announcements
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Want a sneak peek at the #FutureOfAnalytics? Join us virtually for #AlteryxInspire for Product Sneaks sure to shock and awe. Comment below with your product-sneak predictions! Register for Virtual Inspire, then tune in to find out: http://
ow.ly/l4w150NGygw #AnalyticsEvents -
Partner and Developer Ecosystem: Data Landscape Keynote
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We're excited to welcome back @zaheerav
, Sr. Director of Engineering, to the keynote stage, where she'll be diving into our partner and dev ecosystem! This is a chance to explore the current data landscape and the latest in the space. Join us! https://
bit.ly/3ICPryg -
Machine Learning: AI Branch Enabling Data-Driven Decision Making
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#MachineLearning is a branch of AI that enables machines to make decisions based on patterns in data. With its ability to analyze vast amounts of data and improve over time, ML is transforming problem-solving and predictions. By @ingliguori #AI #DataScience
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Data AI Summit Registration Opens with Keynote Speaker
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What better way to celebrate than by registering for #DataAISummit? @hwchase17 will be joining us on the keynote stage! Sign up here: https://
bit.ly/3ICPryg -
Stop Using Excel for Model Metrics with Abacus AI
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Stop using Excel to write down your model metrics. Look at this screenshot: These are some of the metrics you can see using @abacusai
. In a quick snapshot, we put everything that matters right in front of you. -
OpenAssistant OASST1 Dataset Now Available on Hugging Face
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Find it here: https://
huggingface.co/datasets/OpenA
ssistant/oasst1
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Differential Privacy in Machine Learning: Techniques and Challenges
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Today, we discuss the current state of differentially private ML (DP-ML) research with an overview of common techniques for obtaining DP-ML models, engineering challenges, mitigation techniques and current open questions. Learn more ↓
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Apple Restricts ChatGPT and Copilot Use Over Data Security Concerns
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“Apple is concerned workers who use these types of programs could release confidential data, according to the document. Apple also told its employees not to use Microsoft-owned GitHub’s Copilot” https://
wsj.com/articles/apple
-restricts-use-of-chatgpt-joining-other-companies-wary-of-leaks-d44d7d34
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