Discover and read the best of Twitter Threads about #MachineLearning
Most recents (24)
A thread 🧵
1) Introducing Proof of Intelligence - a groundbreaking consensus mechanism used in the #Bittensor network that rewards valuable nodes contributing high-quality #MachineLearning models. It's designed to incentivize efficiency and collaboration within the network. #AI
1) Introducing Proof of Intelligence - a groundbreaking consensus mechanism used in the #Bittensor network that rewards valuable nodes contributing high-quality #MachineLearning models. It's designed to incentivize efficiency and collaboration within the network. #AI
2) Unlike traditional consensus mechanisms like #PoW & #PoS, #ProofOfIntelligence relies on nodes performing #MachineLearning tasks instead of solving complex math problems. This ensures more valuable participants are rewarded for their intelligence with $TAO tokens.
#blockchain
#blockchain
3) @bittensor_ network measures contributions by calculating individual scores, which are then used to assess the value & achievements of each participant. The goal? Encourage cooperation and discourage malicious activities.
$TAO #AI #blockchain
$TAO #AI #blockchain
🌍 Calling all Earth & Environmental Science enthusiasts! 🌿 Check out these top 5 open-source machine learning GUI/packages for cutting-edge applications in the field:
#machinelearning #codes #earthsciences
#machinelearning #codes #earthsciences
AI4Water v1.0: An open source python package for modeling hydrological time series using data-driven methods
Code: github.com/AtrCheema/AI4W…)
Code: github.com/AtrCheema/AI4W…)
ClimateNet: an expert-labeled open dataset and deep learning architecture for enabling high-precision analyses of extreme weather
Code: portal.nersc.gov/project/Climat…
Code: portal.nersc.gov/project/Climat…
✅Linear Neural Networks for Regression and Classification explained in simple terms and how to use it (with code).
A quick thread 🧵👇🏻
#Python #DataScience #MachineLearning #DataScientist #Programming #Coding #100DaysofCode #hubofml #deeplearning
Pic credits : Joshua
A quick thread 🧵👇🏻
#Python #DataScience #MachineLearning #DataScientist #Programming #Coding #100DaysofCode #hubofml #deeplearning
Pic credits : Joshua
1/ Imagine you have a box with a lot of buttons on it, and each button can give you a different answer. You also have a big list of questions that you want to ask, like "What's the weather like today?" or "Is this a cat or a dog?".
2/ Now, instead of asking just one button at a time, you can connect all the buttons together with wires. When you ask a question, it goes through the wires and each button can help decide the answer a little bit.
Have you heard about Otter: A Multi-Modal AI Model with In-Context Instruction Tuning? This cutting-edge model leverages a large-scale dataset called MIMIC-IT to achieve state-of-the-art performances in perception and reasoning benchmarks. @Microsoft @NTUsg #AI
1/5
1/5
🤖 Otter is not your average AI model. With 2.8 million multimodal instruction-response pairs, Otter demonstrates remarkable proficiency in multi-modal perception, reasoning, and in-context learning. It effectively aligns with the user's intentions. #MultiModal #AI
📈 The MIMIC-IT dataset, instruction-response collection pipeline, benchmarks, and the Otter model are all available for use. This means that Otter can be applied to a variety of industries, from healthcare to finance, to improve perception, reasoning, and planning. #DataScience
1/11: The use of #AI & machine learning (#ML) in financial services brings benefits, but also novel challenges & amplified risks. The question of whether AI can be managed through existing regulations or requires a new approach is crucial in ensuring the interests of the markets.
2/11: Achieving regulatory excellence in #AI regulation involves clear & transparent regulations, a risk-based approach, stakeholder engagement, science-based decision-making, regulatory cooperation, continuous improvement, flexibility, efficient processes & accountability.
3/11: The heterogeneity & constant evolution of #AI algorithms require multiple specialised regulatory agencies to effectively regulate their use. These agencies must build data science capacity, employ flexible strategies & remain vigilant in their regulation.
✅Time Series Forecasting explained in simple terms and how to use it ( with code).
A quick thread 🧵👇🏻
#Python #DataScience #MachineLearning #DataScientist #Programming #Coding #100DaysofCode #hubofml #deeplearning
Pic credits : ResearchGate
A quick thread 🧵👇🏻
#Python #DataScience #MachineLearning #DataScientist #Programming #Coding #100DaysofCode #hubofml #deeplearning
Pic credits : ResearchGate
1/ Imagine you have a special notebook where you write down the temperature outside every day. You write down the temperature in the morning and also in the afternoon. Now, after a few months, you have a lot of temperature numbers in your notebook.
2/ Time series forecasting is like using magic to predict what the temperature might be in the future. You look at all the numbers you wrote down and try to find a pattern or a trend.
✅Generative Adversarial Networks ( GANs) explained in simple terms and how to use it ( with code).
A quick thread 🧵👇🏻
#Python #DataScience #MachineLearning #DataScientist #Programming #Coding #100DaysofCode #hubofml #deeplearning
Pic credits : ResearchGate
A quick thread 🧵👇🏻
#Python #DataScience #MachineLearning #DataScientist #Programming #Coding #100DaysofCode #hubofml #deeplearning
Pic credits : ResearchGate
1/ Imagine you have two friends, let's call them the "artist" and the "critic." The artist wants to draw something cool, and the critic wants to judge if the drawing is good or not. The artist tries to draw something, and the critic looks at it and says whether it's good or bad.
2/ Now, the artist really wants to improve, so they keep drawing and the critic keeps judging. Over time, the artist gets better and better at drawing because they learn from the critic's feedback. The artist wants to make drawings that the critic will say are really amazing!
Excited to announce PoET, our (@timt1630, @tbepler1) retrieval-augmented generative protein language model that achieves state-of-the-art unsupervised variant function prediction performance on #ProteinGym. #MachineLearning #ProteinML 1/9
arxiv.org/abs/2306.06156
arxiv.org/abs/2306.06156
Inspired by evolution, PoET conditions on observed protein sequences to infer fitness constraints and extrapolate a generative distribution of protein sequences. This allows PoET to be focused on any level of homology, from superfamilies to families to subfamilies and beyond. 2/9
The key idea in the design of PoET was to create a transformer that could condition on homologous sequences but did not require aligned inputs. Our solution was to model the generative process of whole protein families as a sequence-of-sequences generative modeling problem. 3/9
Are you excited about the future of #AI programming?
Meet Mojo🔥, the new programming language optimized for AI, with a 35,000x performance boost over Python
Created by @Modular_AI , led by the great @clattner_llvm. (Google, Tesla, Apple, Swift)
Thread👇
#Mojo #coding
Meet Mojo🔥, the new programming language optimized for AI, with a 35,000x performance boost over Python
Created by @Modular_AI , led by the great @clattner_llvm. (Google, Tesla, Apple, Swift)
Thread👇
#Mojo #coding
Mojo🔥 is a superset of Python
It provides the usability of one of the world's most popular languages, but with the performance of C & C++.
In fact, Mojo code has demonstrated 30k times speedup over Python!
It provides the usability of one of the world's most popular languages, but with the performance of C & C++.
In fact, Mojo code has demonstrated 30k times speedup over Python!
But Mojo🔥 isn't just about speed.
It's about building a universal platform to tackle the complexity of modern AI & hardware systems.
Mojo's commitment to the Python ecosystem makes it unique among programming languages.
It's about building a universal platform to tackle the complexity of modern AI & hardware systems.
Mojo's commitment to the Python ecosystem makes it unique among programming languages.
Here, we used #MachineLearning to design high diversity antibody variants with orders of magnitude greater potency than could be found with conventional directed mutagenesis. #ProteinML #AntibodyEngineering
doi.org/10.1038/s41467… @NatureComms 1/4
doi.org/10.1038/s41467… @NatureComms 1/4
Our method uses protein embeddings and Bayesian ML to design optimized antibody variant libraries, and we compare directly with other methods in a head-to-head prospective design study. 2/4
It was wonderful to collaborate with Lin Li, Rajmonda Caceres, Matt Walsh, and the rest of the @MITLL, @MIT, and @AAlphaBio teams on this project! 3/4
🧵 Exciting Apps You Can Build with @LangChainAI by @hwchase17
Have you ever thought about the possibilities offered by LangChain?
Let's dive into five amazing app ideas you can bring to life using this versatile tool and get access to code!
#AI #ChatGPT
Have you ever thought about the possibilities offered by LangChain?
Let's dive into five amazing app ideas you can bring to life using this versatile tool and get access to code!
#AI #ChatGPT
First up, a context-aware Chatbot! 🤖
Harness the power of natural language processing to create a chatbot that delivers contextual and relevant answers to user queries. The integration of additional data sources can make your bot!
Repo: tinyurl.com/4y9rt92j
#LangChain
Harness the power of natural language processing to create a chatbot that delivers contextual and relevant answers to user queries. The integration of additional data sources can make your bot!
Repo: tinyurl.com/4y9rt92j
#LangChain
Ever drowned in lengthy documents? Here's a solution - A SummarizationApp! 📃
LangChain can help you condense long articles or documents while preserving their core meaning, making it easier to absorb information. #AI
github.com/ncodepro/pdfch…
LangChain can help you condense long articles or documents while preserving their core meaning, making it easier to absorb information. #AI
github.com/ncodepro/pdfch…
📢 Exciting developments from @GoogleAI ! Introducing Imagen Editor & EditBench, revolutionary tools that advance and evaluate text-guided image inpainting. 🎨🖌️ #AI #MachineLearning
Imagen Editor is a diffusion-based model, fine-tuned on Imagen, with improved representations of linguistic inputs, fine-grained control, and high-fidelity outputs. 📸
It uses three user inputs: the image, a binary mask, and a text prompt. #AI
It uses three user inputs: the image, a binary mask, and a text prompt. #AI
The system relies on 3 core techniques: an object detector masking policy, high resolution editing through conditioning on full resolution, and classifier-free guidance (CFG) to bias samples to text prompts.
#AI #DeepLearning
#AI #DeepLearning
1️/ Journal app on iOS 17: AI-powered daily journal combining music, photos, podcasts, messages, and more.
#JournalApp #AI
#JournalApp #AI
2️/ Improved autocorrect: Machine learning enhances typing accuracy and reduces errors.
#AutoCorrect #MachineLearning
#AutoCorrect #MachineLearning
🔥 AI is changing the world faster than ever. Here are some of the most mind-blowing AI news from last week that you don't want to miss:
🧵 A thread
🧵 A thread
1/ AI Builder: a new app by Microsoft that lets you create and train AI models without coding. Use them for image recognition, text analysis, and more.
nypost.com/2023/05/28/mic…
#microsoft #aibuilder #windows #programming #artificialintelligence
nypost.com/2023/05/28/mic…
#microsoft #aibuilder #windows #programming #artificialintelligence
2/ Neural Filters: a new feature by Adobe that adds generative AI to Photoshop. Apply realistic effects to your photos, such as changing facial expressions, hair styles, age, and lighting.
nypost.com/2023/05/27/ado…
#adobe #photoshop #neuralfilters #generativeai #photography
nypost.com/2023/05/27/ado…
#adobe #photoshop #neuralfilters #generativeai #photography
"🌍 Calling all Earth & Environmental Science enthusiasts! 🌱 Check out these top 5 machine learning courses to enhance your data analysis skills and advance research in your field. 📚🔬 Unleash the power of AI in understanding our planet. #MachineLearning #EarthScience
1. Machine Learning for Earth System Science by Prof. Adway Mitra. It covers the basics of machine learning and its applications in earth system science, such as climate modeling, remote sensing, and soil analysis. onlinecourses.nptel.ac.in/noc22_cs119/pr…
2.Machine Learning in Geosciences Instructor:Gerard Schuster (King Abdullah University of Science and Technology, Saudi Arabia) learninggeoscience.org/local/pages/?i…
#dts23 is about to begin! Excited to be here!
I'm super proud and excited to announce that my brand new #Python for #MachineLearning & APIs course IS LIVE!
And if you're curious here's what you should know...
And if you're curious here's what you should know...
On our live webinar on Thursday, 152 people made the jump! Our previous best was 75 on the day of the launch...
So we more than doubled our previous best.
And 100 people picked it up in the first 2 minutes of the announcement. 🤯
So we more than doubled our previous best.
And 100 people picked it up in the first 2 minutes of the announcement. 🤯
But it's not about me or my records...
It's about you. And your careers.
Thank you to those who committed!
I can't wait to see how your careers grow.
It's about you. And your careers.
Thank you to those who committed!
I can't wait to see how your careers grow.
1/14 🚀 We've put together an in-depth series on APIs, covering everything from fundamentals to AI APIs. Join us on this journey! #APIs #WebDevelopment #Coding
2/14 📚 Starting with API fundamentals, we dive into the basics that every developer should know. Get the solid foundation you need! vegibit.com/%f0%9f%93%9a-a… #APIFundamentals #BackToBasics #LearnToCode
3/14 🌐 HTTP and RESTful APIs are key to modern web services. Learn how these technologies power the web. vegibit.com/%f0%9f%8c%90-h… #RESTfulAPIs #HTTP #WebServices
🚨 $TAO Update
➡️ Ruchy cenowe i emocje inwestorów
➡️ $TAO przebija się do mainstreamu
➡️ Market Maker
➡️ Nowe aplikacje ( IMG to IMG , nostr)
#TaoUpdatebyOLI
#bittensor
#ArtificialIntelligence
#MachineLearning
➡️ Ruchy cenowe i emocje inwestorów
➡️ $TAO przebija się do mainstreamu
➡️ Market Maker
➡️ Nowe aplikacje ( IMG to IMG , nostr)
#TaoUpdatebyOLI
#bittensor
#ArtificialIntelligence
#MachineLearning
1️⃣ Trochę o EMOCJACH:
Ostatnio pisałem o spadku ceny i co było tym spowodowane.
Możesz przeczytać m in. Poniższy post👇
Mieliśmy wylew negatywnych emocji.
Jedni siali FUD.
Drudzy płakali bo zainwestowali na górce.
Trzeci podśmiewali się z projektu.
Ostatnio pisałem o spadku ceny i co było tym spowodowane.
Możesz przeczytać m in. Poniższy post👇
Mieliśmy wylew negatywnych emocji.
Jedni siali FUD.
Drudzy płakali bo zainwestowali na górce.
Trzeci podśmiewali się z projektu.
2️⃣ Na tg Community $TAO dało się wyczuć duża niepewność nowych inwestorów.
Na TT zaczęły pojawiać się ironiczne posty z cyklu 'Tao - przyszłość AI' itp.
Wszystkich łączyło jedno - brak dostatecznej wiedzy o projekcie🤷🏻♂️
Jeśli nie wiesz w co inwestujesz - nie inwestuj🚨
Na TT zaczęły pojawiać się ironiczne posty z cyklu 'Tao - przyszłość AI' itp.
Wszystkich łączyło jedno - brak dostatecznej wiedzy o projekcie🤷🏻♂️
Jeśli nie wiesz w co inwestujesz - nie inwestuj🚨
1/6
-🧵 A mystery unfolds in the realm of #AI.
- A neural network developed by Google has independently mastered a new language - Bengali - that it wasn't explicitly taught. 🕵️👀🤖 #ArtificialIntelligence #MachineLearning
-🧵 A mystery unfolds in the realm of #AI.
- A neural network developed by Google has independently mastered a new language - Bengali - that it wasn't explicitly taught. 🕵️👀🤖 #ArtificialIntelligence #MachineLearning
2/6
- This AI has acquired knowledge it technically shouldn't possess.
- The developers are stunned.
- After only a few hints, it began producing meaningful responses in Bengali - a language never incorporated into its training. 🤯
- This AI has acquired knowledge it technically shouldn't possess.
- The developers are stunned.
- After only a few hints, it began producing meaningful responses in Bengali - a language never incorporated into its training. 🤯
3/6
- As of now, the phenomenon is described as "mysterious." Bengali is a widely spoken language in the northeastern Indian subcontinent, with over 260 million speakers.
- Yet, this AI learned it without direct instructions. 🌍🗣️
- As of now, the phenomenon is described as "mysterious." Bengali is a widely spoken language in the northeastern Indian subcontinent, with over 260 million speakers.
- Yet, this AI learned it without direct instructions. 🌍🗣️
Ever heard of logistic regression? Or Poisson regression? Both are generalized linear models (GLMs).
They're versatile statistical models. And by now, they've probably been reframed as super hot #MachineLearning.
Brush up on their math with this thread. #rstats
They're versatile statistical models. And by now, they've probably been reframed as super hot #MachineLearning.
Brush up on their math with this thread. #rstats
Let's start with logistic regression. Assume you want to classify a penguin as male or female based on its
* weight,
* species and
* bill length
Better yet, let's make this specific. Here's a dataviz for this exact scenario. It is based on the {palmerpenguins} data set.
* weight,
* species and
* bill length
Better yet, let's make this specific. Here's a dataviz for this exact scenario. It is based on the {palmerpenguins} data set.
As you can see, the male and female penguins form clusters that do not overlap too much.
However, regular linear regression (LR) won't help us to distinguish them. Think about it. Its output is something numerical. Here, we want to find classes.
However, regular linear regression (LR) won't help us to distinguish them. Think about it. Its output is something numerical. Here, we want to find classes.
87% of data science projects fail.
One reason is the lack of production.
Here's an easy solution. 🧵
#datascience #python #R #rstats #career
One reason is the lack of production.
Here's an easy solution. 🧵
#datascience #python #R #rstats #career
This is called an #API (Application Programming Interface).
An API allows the user to make requests using a tool they are comfortable with.
The API runs a program that the data scientist has created on the server.
And the API returns a result.
The API runs a program that the data scientist has created on the server.
And the API returns a result.
Are you completely new to SQL and do not know where to start?
Here is a simple concept roadmap for learning SQL as a complete beginner:
🧵
Here is a simple concept roadmap for learning SQL as a complete beginner:
🧵
1. 𝐋𝐞𝐚𝐫𝐧 𝐭𝐡𝐞 𝐛𝐚𝐬𝐢𝐜𝐬:
- Primary Key vs Foreign Key
- Data Types
- Database diagrams
- Tables
- Records and Fields
- Naming standards for tables and fields
- Primary Key vs Foreign Key
- Data Types
- Database diagrams
- Tables
- Records and Fields
- Naming standards for tables and fields
2. 𝐑𝐞𝐭𝐫𝐢𝐞𝐯𝐢𝐧𝐠 𝐃𝐚𝐭𝐚 𝐰𝐢𝐭𝐡 𝐒𝐄𝐋𝐄𝐂𝐓:
- Learn how to write SELECT 𝘤𝘰𝘭𝘶𝘮𝘯(𝘴) FROM 𝘵𝘢𝘣𝘭𝘦
- Combine with other keywords: WHERE, ORDER BY & LIMIT
- Learn how to use arithmetic operators in SELECT statement
- Retrieve unique values with DISTINCT keyword
- Learn how to write SELECT 𝘤𝘰𝘭𝘶𝘮𝘯(𝘴) FROM 𝘵𝘢𝘣𝘭𝘦
- Combine with other keywords: WHERE, ORDER BY & LIMIT
- Learn how to use arithmetic operators in SELECT statement
- Retrieve unique values with DISTINCT keyword
If you're starting out in data science (or if your wondering what you need to learn), don't believe everything you read. 🧵
Spot BS and focus on these 4 steps to grow your career.
#datascience #rstats #career
Spot BS and focus on these 4 steps to grow your career.
#datascience #rstats #career
My friend Rafael Nicolas Fermin Cota (Nico) pointed me to this modified graphic from a Harvard Business Review Article on "Prioritizing Which Data Science Skills Your Company Needs".
With ChatGPT, AI, and the "trendiness" of buzzwords, this graphic becomes even more dangerous. hbr.org/2018/10/priori…
