That's a wrap! If you are interested in any of these topics: – Python – Data Science – Machine Learning – Data Analysis – LLMs – MLOps Find me → @Sumanth_077 I'm sharing daily content over here.
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Capstone Project: Build a Data Science Project from Scratch
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6. Capstone Project: Build a Data science project from scratch: After completing all the above courses take Harvard’s data science capstone project. Assess your skills in data visualization, statistics, data wrangling and machine learning.
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Machine Learning Fundamentals: Overfitting, Modeling, and Recommendations
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5. Machine Learning This course will teach you the basics of machine learning, techniques to mitigate overfitting, supervised and unsupervised modelling approaches, and recommendation systems.
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Data Pre-Processing: Preparing Data for Machine Learning Models
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3. Data Pre-Processing: This will teach you to prepare data and convert it into a format that is easily digestible by machine learning models.
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LLMs as Data Analysts: Execute Code and Export Visualizations
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Talk to an LLM and execute code. They are great data analysts and can run complex queries and plots.
— Abacus.AI (@abacusai) 17 juillet 2024
You can even export your plots to PowerPoint. pic.twitter.com/Z3lafnHhqQTalk to an LLM and execute code. They are great data analysts and can run complex queries and plots. You can even export your plots to PowerPoint.
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Data Literacy and AI-Driven Analytics Adoption Webinar
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Transform your company’s #DataLiteracy! In this webinar, we’ll tackle the barriers and solutions for large-scale #analytics adoption. Harness #AI and data storytelling with our Product Marketing Director Peter Martinez. 7/30 Join: https://
hubs.ly/Q02FM9QN0 @DataSciConnect -

Fine-Tuned Models Leak Private Pretraining Data Information
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Nice talk by John Abascal on "TMI! Finetuned Models Leak Private Information from their Pretraining Data," a joint work with @the_stanleywu
, @AlinaMOprea
, and @thejonullman
. They show that fine-tuning large models can nonetheless leak info about their training data. -

The Unreasonable Effectiveness of Human Feedback
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The Unreasonable Effectiveness of Human Feedback https://
bit.ly/4cUDJMZ
#AI #MachineLearning #DeepLearning #LLMs #DataScience -

Neural Scaling Laws Workshop Features Bilingual Arabic-English LLMs
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Join us for the 7th workshop on Neural Scaling Laws at ICML 2024 G42's Neha Sengupta will discuss the Jais family of Arabic-English bilingual models, comparing those trained from scratch with those adapted from off-the-shelf English LLMs. July 22, 2024, 9:00AM Local Time
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The Pile: Where Large Language Models Begin
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This is something to remind where it start They all start from there for #LLM or i'm wrong ? https://
pile.eleuther.ai