ramikrispin

ramikrispin, 1 hour ago to python

Opened my Monday on debugging/fighting Python dependencies on Docker image, how is your Monday so far? 😅

Gif credit: Giphy

#python #docker

ramikrispin, 6 hours ago to datascience

(1/2) End To End Data Science With R 🚀

The End To End Data Science With R is a new book by Rene Essomba. The book, as the name implies, focuses on the core data science applications using R ❤️. This book covers the following topics:
✅ Exploratory data analysis
✅ Data visualization
✅ Supervised learning
✅ Unsupervised learning
✅ Time series
✅ Natural language processing
✅ Image classification

#RStats #DataScience #MachineLearning #dataviz #data

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ramikrispin, 1 day ago to machinelearning

MLX Examples 🚀

The MLX is Apple's framework for machine learning applications on Apple silicon. The MLX examples repository provides a set of examples for using the MLX framework. This includes examples of:
✅ Text models such as transformer, Llama, Mistral, and Phi-2 models
✅ Image models such as Stable Diffusion
✅ Audio and speech recognition with OpenAI's Whisper
✅ Support for some Hugging Face models

🔗 https://github.com/ml-explore/mlx-examples

#MachineLearning #llm #deeplearning #DataScience #Python

ramikrispin, 2 days ago to python

This weekend working on a fun project combining AirFlow, MLflow, and Darts 😎

#python #forecasting #DataScience #MLops

ramikrispin, 2 days ago to python

(1/2) Hands-On Mathematical Optimization with Python 🚀

The Hands-On Mathematical Optimization with Python book by Krzysztof Postek, Alessandro Zocca, Joaquim Gromicho, and Jeffrey Kantor provides the foundation for mathematical optimization. As the name implies, the book is hands-on with Python examples, mainly using Pyomo.

#python #math #DataScience #MachineLearning

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ramikrispin, 3 days ago to datascience

(1/3) Introduction to Data Wrangler 🚀

Data Wrangler is a new Microsoft VScode extension for data exploratory analysis. It supports Python 🐍 and Pandas 🐼 DataFrame objects and is integrated into VScode Jupyter Notebooks. Here are some of the functionalities of Data Wrangler:
✅ Data review
✅ Column filtering
✅ Summary statistics
✅ Data cleaning and transformation
✅ Hadeling missing values
✅ Creating new fields

#DataScience #data #python #vscode

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ramikrispin, 4 days ago to ArtificialIntelligence

(1/2) MIT Introduction to Deep Learning 🚀🚀🚀

MIT launched the 2024 edition of the Introduction to Deep Learning course by Prof. Alexander Amini and Prof.Ava Amini. The course started at the end of April and will run until June. The course lectures are published weekly. The course syllabus keeps changing from year to year, reflecting the rapid changes in this field.

#deeplearning #MachineLearning #DataScience #AI #genai #python

ramikrispin, 4 days ago to random

(2/2) I am mainly interested in the interaction between Rust and WebAssembly, and MLOps applications.

Here is a great lecture by Lincoln Colling from the University of Sussex about the data science applications of Rust 👇🏼

📽️ https://www.youtube.com/watch?v=E_je8_5WeDk

ramikrispin, 4 days ago to rust

(1/2) I recently posted a few posts about Rust 🦀 and my intention to leverage it for data science applications. Multiple people asked if Rust is a substitute for R or Python, and the short answer (in my opinion) is no. I see Rust as a complementary or supporting language that could make languages like R and Python faster.

Polaris 🐻‍❄️ is one example of a Python 🐍 application that uses Rust on the backend. 🧵👇🏼

#Rust #Python #RStats #mlops #DataScience

ramikrispin, 6 days ago to random

(2/2) That includes topics such as:
✅ Probabilistic and learning algorithms for Deep generative models
✅ Variational autoencoders
✅ Generative adversarial networks and autoregressive models
✅ Normalizing flow models
✅ Energy-based models and score-based models

Lectures 📽️: https://www.youtube.com/playlist?list=PLoROMvodv4rPOWA-omMM6STXaWW4FvJT8
Course website 🔗: https://deepgenerativemodels.github.io/

ramikrispin, 6 days ago to datascience

(1/2) Happy Tuesday! ☀️

Deep Generative Models - New Stanford Course 🚀👇🏼

Stanford University released a new course last week focusing on Deep Generative Models. The course, by Prof. Stefano Ermon, focuses on the models beyond GenAI models.

#genai #DataScience #MachineLearning #deeplearning

ramikrispin, 7 days ago to datascience

(1/2) Google released a new foundation model for time series forecasting 🚀

The TimeFM (Time Series Foundation Model) is a foundation model for time series forecasting applications. This pre-trained model was developed by the Google Research team. It joins the recent trend of leveraging foundation models for time series forecasting, which includes Salesforce's Moirai and Amazon's Chronos.

#DataScience #forecasting #llm #deeplearning #MachineLearning #python #timeseries

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ramikrispin, 7 days ago to OpenAI

The new OpenAI model is out - GPT 4 Omni, supporting video, audio, and vision 🤯

https://openai.com/index/hello-gpt-4o/

#openai #datascience #llm #deeplearning #genai

ramikrispin, 9 days ago to Excel

(1/2) I have been following the work of @stevensanderson and David Kum for a few years now, and I am excited to see the release of their new book 🥳- Extending Excel with Python and R 🚀.

The book focuses on the common conjunction and collaboration between data scientists and Excel users. This includes scaling and automating #Excel tasks with #RStats and #Python and core data science applications such as data wrangling, working with APIs, data visualization, and modeling.

#DataScience

ramikrispin, 8 days ago to machinelearning

(1/2) New release for skforecast 🎉

Version 0.12.0 of the skforecast Python library for time series forecasting with regression models was released this week. The release includes new features, updates for existing ones, and bug fixes. 🧵👇🏼

#timeseries #forecasting #machinelearning #deeplearning #python

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