ramikrispin

ramikrispin, 8 months ago to datascience

I spent last night to build this fun Shinylive app - Forecasting Sandbox 😎

The app provides a simple sandbox for three simple forecasting models - Linear regression, ARIMA, and Holt-Winters, and it entirely runs on the browser!

I am planning to deploy it to Github Actions and create a tutorial (WIP) 👇🏼

https://github.com/RamiKrispin/shinylive-r

#rstats #shiny #datascience #positconf2023 #datavisualization #timeseries #forecasting

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ramikrispin, 4 months ago to random

The output of the 𝒑𝒌𝒈_𝒅𝒆𝒑𝒔_𝒕𝒓𝒆𝒆 function from the 𝐩𝐚𝐤 package is priceless ❤️.

The pak package provides tools to install packages in R while handling dependencies and is an alternative to the 𝒊𝒏𝒔𝒕𝒂𝒍𝒍.𝒑𝒂𝒄𝒌𝒂𝒈𝒆𝒔() and 𝒅𝒆𝒗𝒕𝒐𝒐𝒍𝒔::𝒊𝒏𝒔𝒕𝒂𝒍𝒍_𝒈𝒊𝒕𝒉𝒖𝒃() functions.

Documentation: https://pak.r-lib.org/index.html
Source code: https://github.com/r-lib/pak/

#rstats

ramikrispin, 8 months ago to llm

A Hackers' Guide to Language Models 👇🏼

Jeremy Howard's keynote about LLMs was one of the most interesting talks at the #positconf2023 and I highly recommend watching his talk. The talk focuses on the landscape and an overview of #LLM, particularly #GPT4. Jeremy provides some cool tricks and uses cases of LLMs. I love his example about sending a prompt with your own #Python functions and asking it to use it.

Resources 📚
Video: https://www.youtube.com/watch?v=jkrNMKz9pWU
Code and notebooks: https://github.com/fastai/lm-hackers

ramikrispin, 3 months ago to llm

Build from Scratch a GPT Tokenizer 🚀

This is a great tutorial by Andrej Karpathy for building a GPT tokenizer from scratch with Python. This two-hour tutorial covers the following topics:
✅ Introduction to tokenization
✅ Handling different types of strings with Python
✅ Tokenizer implementation
✅ Decoding and encoding tokens and strings
✅ Train new tokens

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

#llm #python #nlp #datascience

ramikrispin, 1 month 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, 2 months ago to datascience

DuckDB 🦆 + dplyr 🔧= duckplyr 🚀🚀🚀

DuckDB released a new R package - duckplyr, which enables running dplyr functions using the DuckDB engine on the backend ❤️. The package, on the backend, translates and maps the dplyr code into DuckDB. This will enable dplyr users to work with large datasets with higher performance.

Resources 📚
Code: https://github.com/duckdblabs/duckplyr
Documentation: https://duckdblabs.github.io/duckplyr/
Release post: https://duckdb.org/2024/04/02/duckplyr

#rstats #duckdb #data #DataScience #sql

ramikrispin, 2 months ago to datascience

DBRX - a new general-purpose, open-source large language model (LLM) from Databricks.

More details 👇🏼
https://www.databricks.com/blog/announcing-dbrx-new-standard-efficient-open-source-customizable-llms

Resources 📚
Hugging Face 🤗: https://huggingface.co/collections/databricks/dbrx-6601c0852a0cdd3c59f71962
Code 🔗: https://github.com/databricks/dbrx

#DataScience #llm #deeplearning #machinelearning

ramikrispin, 2 months ago to python

(1/2) Moirai - Salesforce's Foundation Forecasting Model 🚀

Salesforce recently released Moirari - a new #Python 🐍 library with a foundation model for time series forecasting applications. According to the release blog - the model comes with universal forecasting capabilities and can handle multiple scenarios and different frequencies.

#data #DataScience #llm #timeseries #forecasting #machinelearning #deeplearning

ramikrispin, 3 days ago to datascience

DevOps for Data Science - New Book 🚀

Always happy to see new MLOps books! The DevOps for Data Science is a new book by Alex K Gold. As the name implies, the book focuses on topics related to DevOps for data scientists. This includes the following:
✅ Command line
✅ Working with Linux systems
✅ Docker
✅ Scaling resources
✅ Network, domains, DNS, SSL, etc.
✅ Authentication

#DataScience #mlops #devops

ramikrispin, 1 month ago to datascience

New release to Ollama 🎉

A major release to Ollama - version 0.1.32 is out. The new version includes:
✅ Improvement of the GPU utilization and memory management to increase performance and reduce error rate
✅ Increase performance on Mac by scheduling large models between GPU and CPU
✅ Introduce native AI support in Supabase edge functions

More details on the release notes 👇🏼
https://github.com/ollama/ollama/releases

Image credit: release notes

#DataScience #MachineLearning #llm #ollama #llama #python

ramikrispin, 1 month ago to llm

In case you are wondering, the new Microsoft mini LLM - phi3, can handle code generation, in this case, SQL.

I compared the runtime (locally on CPU) with respect to codellama:7B using Ollama, and surprisingly the Phi3 runtime was significantly slower.

#llm #DataScience #python #phi #machinelearning #ollama

ramikrispin, 14 days ago to datascience

Gradient Descent Visualization 👇🏼

I was looking for examples of interactive data visualization for a gradient descent algorithm, and I found this app by Lili Jiang. This desktop app is based on C++ and enables simulation and visualization of different gradient descent algorithms, such as momentum, AdaGrad, RMSProp, and Adam. The app enables to compare different methods simultaneously.

https://github.com/lilipads/gradient_descent_viz

Image credit: App repository

#DataScience #MachineLearning

video/mp4

ramikrispin, 30 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, 16 days ago to datascience

(1/2) Shiny Apps for demystifying statistical models and methods 🚀

This is a cool website that explains different statistical concepts with the use of interactive Shiny Apps. Ben Prytherch made this website from the Department of Statistics at Colorado State University.

#DataScience #Stats #statistics #MachineLearning #RStats

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ramikrispin, 2 months ago to datascience

Lessons in Statistical Thinking - New Book 📚👇🏼

The Lessons in Statistical Thinking is a new book by Prof. Daniel Kaplan focusing on statistical reasoning. The book covers the following topics:
✅ Handling data
✅ Describing relationships
✅ Randomness and noise
✅ Casual modeling
✅ Hypothetical thinking

The book code examples are with R.

The book currently has only an online version 👇🏼
https://dtkaplan.github.io/Lessons-in-statistical-thinking/

Thanks to the author for making the book open and free! 🙏🏼

#rstats #DataScience #stats

ramikrispin, 3 months ago to python

Going Further with CUDA for Python Programmers 🚀

The second part of Jeremy Howard's lecture on #CUDA for #Python programmers is now available 👇🏼

📽️: https://www.youtube.com/watch?v=eUuGdh3nBGo

This lecture focuses on the following topics:
✅ Optimized Matrix Multiplication
✅ Shared Memory Techniques for CUDA
✅ Implementing Shared Memory Optimization
✅ Translating Python to CUDA and Performance Considerations
✅ Numba: Bringing Python and CUDA Together

Notebook: https://github.com/cuda-mode/lectures/blob/main/lecture5/matmul_l5.ipynb

#DataScience #deeplearning

ramikrispin, 1 month ago to datascience

In the past few months, I created a bunch of Docker 🐳 tutorials covering random topics, from a fun setting for a Python 🐍 environment on the CLI to advanced topics such as multi-stage builds 🏗️. I organized all the tutorials under one folder, and I plan to keep updating this folder with future-related ones 😎.

Currently on my Docker tutorial TODO list:
➡️ Docker ENTRYPOINT vs CMD
➡️ Docker multi-architecture build

🔗 https://medium.com/@rami.krispin/list/docker-21408ce79e6a

Enjoy!

#docker #DataScience #vscode #mlops

ramikrispin, 13 days ago to datascience

DuckDB can now read data from Hugging Face via the hf:// prefix 👇🏼

https://duckdb.org/2024/05/29/access-150k-plus-datasets-from-hugging-face-with-duckdb

#data #duckdb #DataScience #huggingface

ramikrispin, 1 month ago to rust

Rust for Beginners - Crash Course 🚀

If you are looking to get started with Rust, you should check this crash course for beginners by Microsoft Developer. The course focuses on the foundation of Rust, from setting up Rust on your local computer to core functionality of the language, such as if/else statements, for loops, functions, and other core operators.

Course 📽️: https://www.youtube.com/playlist?list=PLlrxD0HtieHjbTjrchBwOVks_sr8EVW1x

#rust

ramikrispin, 4 months ago to python

PyData Global 2023 talks are now available 🐍👇🏼

The playlist contains 65 talks from the last PyData Global conference, covering a variety of data science and data engineering topics such as machine learning, time series, bayesian statistics, data pipelines, etc.

Playlist 📽️: https://www.youtube.com/playlist?list=PLGVZCDnMOq0rCyO6B53u1eFT4owN8Lvwj

#python #datascience #dataengineering #machinelearning

ramikrispin, 3 months ago to Bash

A Bash Scripting Course 🚀

Bash is a useful language for automating processes on the command line and has a lot of applications from IT to MLOps. The Bash Scripting on Linux course by Jay LaCroix is an intro course for Bash. The course focuses on the foundation of Bash scripting, and it covers the following topics:
✅ Working with variables
✅ If-Else statements
✅ Loops
✅ Functions
✅ Arguments
✅ Scheduling

Course 📽️: https://www.youtube.com/playlist?list=PLT98CRl2KxKGj-VKtApD8-zCqSaN2mD4w

#bash #docker #MLOps #DataScience

ramikrispin, 2 months ago to datascience

Complex Analysis - An Interactive Book 🚀👇🏼

The Complex Analysis book by Juan Carlos Ponce Campuzano focuses on the theory and applications of complex functions. The book makes great use of interactive data visualizations to explain the complex analysis theory.

https://complex-analysis.com/

#data #DataScience #math #datavisualization #infographic

ramikrispin, 3 months ago to OpenAI

(1/3) OK, Sora is cool, but what are the long-term impacts and applications?

Like ChatGPT, the OpenAI's Sora that was released yesterday did not introduce anything new; it just took it to a new level.

#openai #sora #llm #genai #deeplearning #tech

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ramikrispin, 1 month ago to datascience

(1/3) Learn R Through Examples 🚀👇🏼

The Learn R Through Examples by Xijin Ge, Jianli Qi, and Rong Fan provides an introduction to data analysis with R. The book covers the core topics of data analysis using different datasets, from simple and clean datasets to messy and big datasets. 🧵👇🏼

#RStats #DataScience #datavisualization #data

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ramikrispin, 2 months ago to python

(1/2) Models Demystified - A Practical Guide from t-tests to Deep Learning 🚀👇🏼

The Models Demystified is a new book by Michael Clark and Seth Berry that focuses on the mechanizing of core data science algorithms. That includes the following topics:
✅ Linear and logistic regression
✅ Generalized Linear Models
✅ Regularization methods
✅ Model training approaches
✅ Deep learning and neural networks
✅ Causal Modeling

#RStats #python #DataScience #MachineLearning #deeplearning

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