Experimentality is an experiment mentality that pushes you to run small, controlled experiments to find the truth in the data. Learn how to develop an experimentality and how it looks like.
Jay Clouse
Founder of Creator Science – studying creators, running experiments, and sharing what I learn • Helping you develop an experimentality 🧪🧠
AI can help you clean, transform, and explore data in seconds. Learn how to use AI tools like AkkioHQ to quickly manipulate data and get insights from it, as well as three tricks to help you get started.
Santiago
Machine Learning. I run https://t.co/iZifcK7n47 and write @0xbnomial.
Say goodbye to Excel and hello to the AI Analyst. This revolutionary tool is able to answer questions about your data, summarise any dataset, and run deep dive analysis.
Alex Banks
Building a better future with AI.
Training machine learning models with too many images can be a difficult task. This article looks at how to use better data instead of more data, as well as how real-life problems are usually the opposite of what is taught in books.
Santiago
Machine Learning. I run https://t.co/iZifcK7n47 and write @0xbnomial.
Analyze the data presented by Autopilot alarmist Faiz Siddiqui claiming that Autopilot has been involved in 736 crashes. Learn how to normalize the data and compare it to human driving automation tech.
Whole Mars Catalog
Covering tech, markets, AI, new energy, and autonomous electric vehicles 24/7
The BBC and multiple governments have had data theft via MoveIT zero day. Read the story of the first big MoveIT victim and the vendor response.
Kevin Beaumont
@gossithedog@cyberplace.social on Mastodon - https://t.co/r8moXSpOva
Read about the compromise of UMAP for single cell data. UMAP is a local distance preserving layout with some attempt of a global space, but forcing that global space to be 2d can be a big compromise.
Ewan Birney
Deputy Director General of EMBL, Director of EMBL-EBI. I have an insatiable love of biology. @ewanbirney@genomic.social. I also work with ONT, Dovetail + GeL.
This blog looks at the conversation between 60 Minutes and Sundar Pichai on the topic of Artificial Intelligence, discussing the importance of understanding the training data and the concept of a 'black box'. It also provides a partial transcript of the conversation.
@emilymbender@dair-community.social on Mastodon
Professor, Linguistics, UW // Faculty Director, Professional MS Program in Computational Linguistics (CLMS) // she/her // @emilymbender@dair-community.social
This blog discusses the effectiveness of privacy tools and compliance in relation to government pressure. It uses the example of Wasabi and Tornado Cash to compare the ease of shutting down Wasabi versus the censorship of entrants using Chainalysis.
Seth For Privacy
Freedom maximalist || Privacy advocate || Head of Content for @FOUNDATIONdvcs || Host of @optoutpod, a privacy-focused podcast.
This thread provides a step-by-step guide on how to use data to reduce churn and double revenue. It includes screenshots and real data and findings to show how you can do the same.
adriane schwager
CEO & Co-Founder @GrowthAssistant - Elite offshore talent to support teams with digital marketing, graphic design, biz ops, etc.
This blog post provides an update on the Rainfall Rescue project. It explains how 16,000 volunteers typed 100 million keystrokes in 16 days to transcribe 5.28 million measurements. It also discusses the updated dataset, which contains more than 4.9 million measurements.
Ed Hawkins
Climate scientist, NCAS/University of Reading | MBE | Warming Stripes: https://t.co/RHRXsr7zE5 | Views own | Mastadon: https://t.co/m2XBxZKW5E
Learn how to use pipelines to transform data, build a simple neural network to make predictions, run hyperparameter tuning, and log experiments and explore data with this post on building a simple tabular model.
Santiago
Machine Learning. I run https://t.co/iZifcK7n47 and write @0xbnomial.
Web scraping is a critical skill for training large language models. Here are the basics of web scraping and how to use it to collect and store data in a structured form.
Santiago
Machine Learning. I run https://t.co/iZifcK7n47 and write @0xbnomial.
One billion people worldwide use spreadsheets, but only a tiny fraction know how to use their data effectively. Learn how GPT-4 can be used to explore data with mind-blowing examples and true innovation.
Santiago
Machine Learning. I run https://t.co/iZifcK7n47 and write @0xbnomial.
AI has been around for 67 years, but now we are living on the cusp of full-blown AI world domination. Explore the four main reasons behind its explosion, including Moore's Law and global data creation.
Peter H. Diamandis, MD
Exec. Chairman, @xprize, @fountainlife_hq Working to extend human healthspan. #abundance360
This blog looks at how Google's AI is set to give competition to GPT-4 and how it can save teams time and money. It looks at the three best features coming to work apps, such as how AI can help with writing and generating data in Sheets.
Chris Cunningham
Founding Member of @clickup. Scaling Clickup in public and sharing how I'm securing raving fans via influencer marketing, community, and brand strategy.
This blog looks at the claims that the Chinese Communist Party could force TikTok to hand over people's data and how they could just buy the same data from commercial data brokers in the US. It also looks at the reactions of US and European officials to TikTok's data practices.
Mark Scott
Chief Technology Correspondent at POLITICO. Visiting fellow at @IFL_Brown. Email: mscott (at) politico (dot) eu. Weekly newsletter: https://t.co/BQMiUUxokB. DMs open.
A 5 year long complaint against the AdTech company Criteo is being heard at the French data protection authority CNIL, who is proposing a €60 million fine. The complaint was filed in 2018 against 7 data brokers and AdTech companies, and has been picked up by various data protection authorities.
Privacy International
For a world where technology will empower and enable us, not exploit our data for profit and power. Find us on mastodon: https://t.co/vTdLm4qChC