Object Detection is one of the most useful applications of Machine Learning. Here is a 2-minute introduction to Object Detection, and how it can help us find objects in pictures.
Santiago
Machine Learning. I run https://t.co/iZifcK7n47 and write @0xbnomial.
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.
Get the 5-minute summary of the latest AI news. Zoom releases Zoom AI, Nvidia releases Neuralangelo, and Instacart releases Ask Instacart.
Aadit Sheth
Insights on how I'm using AI to boost my daily productivity. Join 80k+ readers getting smarter on AI daily → https://t.co/HpGaN8tzc1
This blog explores one of the simplest Machine Learning models - MNIST. Learn what's happening line by line and understand how it works. Writing changed the author's life, and the ebook "Writing for Data Scientists" may transform yours too.
Santiago
Machine Learning. I run https://t.co/iZifcK7n47 and write @0xbnomial.
Learn how to get started with AI/ML and become a builder. Discover tips for the first month, including learning to use notebooks, dealing with data, and building your first project. Get ready to revolutionize the world!
Santiago
Machine Learning. I run https://t.co/iZifcK7n47 and write @0xbnomial.
Learn about the fifth killer app of AI, Autonomous Agents, and the five stages of "brain" development it took to get from Foundation Models to Autonomous Agents. Read this blog to understand why Full Autonomy is like "Full Self Driving".
swyx.goodenough
Anti-ego ideas for anti-ergodic life. Working on something smol. AI news & interviews: @latentspacepod Book on Principles: @coding_career
Explore the possibilities of AI-generated code by solving a simple Deep Learning problem without writing a single line of code. Learn how to use Keras models, Convolutional Neural Networks, and Categorical Cross Entropy to achieve this.
Santiago
Machine Learning. I run https://t.co/iZifcK7n47 and write @0xbnomial.
Learn about the top 5 AI developments last week, including AutoGPT, Stability AI's Stable Diffusion XL model, and Stanford's paper on generative models for realistic simulation of human behaviour.
Zain Kahn
The AI Guy ― Follow me to learn how you can leverage AI to boost your productivity. Building the world's biggest AI newsletter with 300,000+ readers. Join here↓
Companies spend a lot of money to keep their Machine Learning models up to date and accurate. Here are three examples of how to solve this problem.
Santiago
Machine Learning. I run https://t.co/iZifcK7n47 and write @0xbnomial.
GPT-5 could be the ONE holy grail in all of AI. It could surpass GPT-4, which is capable of analyzing text, images, and performing complex tasks. Learn more about GPT-5 and how it could revolutionize AI applications.
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.
Quit your job and learn how to apply Machine Learning to real-world problems with this 9-hour program. Learn the practical skills you need to work hard and get the most out of this program.
Santiago
Machine Learning. I run https://t.co/iZifcK7n47 and write @0xbnomial.
Text2Vid is getting more and more insane. Learn how to generate movies from minor prompts using a diffusion model and GPT4. Discover how you can turn lots of movies back into scripts and create a dataset to train the other way.
tobi lutke
@Shopify CEO by day, Dad in evening, hacker at night. Aspiring comprehensivist. (tweets auto delete) retweet/like=noteworthy share, not endorsement
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.
Robot Brains recently released a new episode with guest Chelsea Finn. They discussed Distribution Shift, Meta-Learning, Editing LLMs, Single-Life RL, and What can AI not (yet) do today?
Pieter Abbeel
Professor at Berkeley; Founder of Covariant & Gradescope; The Robot Brains Podcast Host; Investment Partner at AIX Ventures
Learn about the top 5 things everyone should learn about in 2023, such as logic, programming, data science, machine learning, and artificial intelligence. These are all skills that can be learned on Brilliant.org, one of the best investments for learning.
Ali Abdaal
👨⚕️ Doctor turned entrepreneur + world's most followed productivity expert ✍️ I share evidence-based strategies and tools to help you build a life you love 🚀
When training machine learning models, it is important to be careful with random splits if your dataset has any grouping between samples. Learn why random splits won't work and how to use your data to your advantage.
Santiago
Machine Learning. I run https://t.co/iZifcK7n47 and write @0xbnomial.
This blog discusses how to use GPT-4 to its fullest potential. It provides seven power tips to make AI your most profitable employee, such as giving the AI a role and not leaving assumptions up to chance.
Brett Adcock
Hard Tech. Founder/CEO @ Figure, Archer (NYSE: ACHR), Vettery ($100M exit)
The Kaggle Workbook was just released! This book, written by @tng_konrad and @lucamassaron, is packed with practical tips and examples for those interested in Machine Learning. Read this blog to learn why you need this book.
Santiago
Machine Learning. I run https://t.co/iZifcK7n47 and write @0xbnomial.