#AI and #MachineLearning models are shifting a number of core assumptions on which the various Web stakeholders have been relying on for years.
In this presentation at the @w3c member meeting in #Hiroshima 🇯🇵, @dontcallmeDOM reviews the systemic impact and possible mitigation the Web community should consider to ensure the long term prosperity of the #Web in the face of these changes.
First and foremost, we had more than 20 wonderful participants at #YoMos2024, ranging from Bachelor- to #PhD- level #students all modelling #ecological systems. Everyone had the chance to present their projects and methods and we had vivid question+discussion rounds afterwards. Although #YoMos seems like a niche group already, we heard about a bandwidth of methods including mechanistic #eco(-evo)-models, #SDMs, #climate and vegeation models, network models, #Machinelearning, #AI and much more.
So… Big Tech is allowed to blatantly steal the work, styles and therewith the job opportunities of thousands of artists and writers without being reprimanded, but it takes similarity to the voice of a famous actor to spark public outrage about AI. 🤔
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
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
(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.
Trying something new, everyone is guaranteed an interview! Open interviews! For a limited time no one will be skipped (except for clear cases of abuse).
So we still have about 10 more 100% remote positions to hire for full-time market-fair positions here at QOTO/CleverThis.
100% remote, work from anywhere, even the beach, market-fair offers. Ethics first, we treat our people like family.
We have an urgent need for Machine learning experts with a background in NLP and Deep Learning (Natural Language Processing and Neural Networks). There is a focus on Knowledge Graphs, Mathematics, Java, C, looking for Polyglots.
We are an open-source first company, we give back heavily to the OSS community.
We need everything from jr to sr, data scientist to programmer. If your IT and your good, you might be a fit.
I will personally be both your direct boss, and hiring manager. I am also the founder and inventor.
The NLP position can be found at this link, other positions can be found on the menu bar on the left:
If you would like to submit yourself for an interview, which for a limited time I am guaranteeing you will get a first stage interview, then you can submit your application here, and even schedule your interview as you apply, instantly!
If you use Slack for work, your messages and DMs to friends and colleagues are now being used to train the company’s machine learning features — and everyone is opted in by default.
A quiet update to the company’s policy suggests messages, data and files sent by users are helping Slack to improve its in-app features like channel recommendations, search results and emoji suggestions, reports @PCMag. Individual users can’t opt out either, something critics have called a “privacy mess.”
I was so, SO happy to leave Slack behind. And, remembering how that last group of people used it: YEESH.
“If you use Slack for work, your messages and DMs are now being used to train the company’s machine learning features — and everyone is opted in by default.
“A quiet Individual users can’t opt out either, something critics have called a “privacy mess.”
FreeCodeCamp released today a new course for fine tuning LLM models. The course, by Krish Naik, focuses on different tuning methods such as QLORA, LORA, and Quantization using different models such as Llama2, Gradient, and Google Gemma model.
College Precalculus – Full Course with Python Code by Ed Pratowski and freeCodeCamp focus on the foundation of calculus with Python implementation. This 12 hours course covers the following topics:
✅ Core trigonometry
✅ Matrix operation
✅ Working with complex numbers
✅ Probability