Discover and read the best of Twitter Threads about #MachineLearning

Most recents (24)

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... Image
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. 🤯
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.
Read 4 tweets
🚨 $TAO Update

➡️ Ruchy cenowe i emocje inwestorów

➡️ $TAO przebija się do mainstreamu

➡️ Market Maker

➡️ Nowe aplikacje ( IMG to IMG , nostr)

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.

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🚨
Read 18 tweets

-🧵 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 Image

- 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. 🤯 Image

- 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. 🌍🗣️ Image
Read 6 tweets
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
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. Image
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.
Read 26 tweets
87% of data science projects fail.

One reason is the lack of production.

Here's an easy solution. 🧵

#datascience #python #R #rstats #career Image
This is called an #API (Application Programming Interface). Image
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.
Read 6 tweets
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:

🧵 Image
1. 𝐋𝐞𝐚𝐫𝐧 𝐭𝐡𝐞 𝐛𝐚𝐬𝐢𝐜𝐬:

- 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
Read 8 tweets
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 Image
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.…
Read 13 tweets
¿Podemos fiarnos de lo que nos diga una inteligencia artificial #IA? ¿Cómo interpretamos sus decisiones?

Vengo a contaros cómo mi tesis en @BigData_uc3m @uc3m busca arrojar algo de luz ☀️ sobre estos algoritmos tan opacos🌑!

Abro #HiloTesis 👇 Image
La #IA ha pasado de ser un tema exclusivo de los investigadores a estar en boca de todos en cuestión de meses. Y con ello han aparecido las preocupaciones y gente volviendo a ver Terminator para estar preparados antes de que los robots 🤖 nos dominen!
Por suerte, todavía estamos algo lejos de ese escenario apocalíptico, pero ¿os imagináis a inteligencias artificiales tomando decisiones importantes sin que sepamos cómo? Pues, en cierto modo, esto lleva tiempo ocurriendo prácticamente a diario. 😱
Read 20 tweets
With all the rage about ChatGPT, have you ever wondered about the differences between AI and more classical technologies? Join me for a brief tour, with its relation to Aerospace. @RedDivulga, @filarramendi, @uc3m y @doctoradoUC3M.  @PhDAaeroUC3M #PhD #Aerospace #Engineering
ChatGPT, and its equivalents work like buttonsmashing. You have a bajillion buttons, and them you mash, tweak, and tune them randomly. Like this young Alien Stu is doing in the Pixar short movie Lifted.
Stu is trying to learn how to abduct humans. I know, a very Aerospace oriented scenario. Consider him as Chatgpt in its beginnings. He pushes random buttons, and not surprisingly, nothing really works. However, the more he tries, the more he learns the buttons
Read 17 tweets
It’s Day 2 of @LearnTechUK & my first session is about Learning Personalisation. Personalising #learning can improve retention & performance. But how do we get there? Nicola McNeillie from @AstraZeneca & David Kelly @LnDDave from @LearningGuild will tell us. #LT23UK #T4S4
Both David and Nicola are more active on LinkedIn than Twitter so I’m going to share their details. David is at and Nicola is at…. I know, I know - I’m so helpful. #LT23UK #T4S4
David is up first! And he starts with a hilarious story. He spoke at @LearnTechUK yesterday on #EmergingTechnologies & when he was looking at his social media mentions yesterday he saw one that said “Personalised learning doesn’t exist” attributed to him. Whoops! #LT23UK #T4S4
Read 17 tweets
Use Machine Translation to accelerate your translation process 🚀
A thread by @rk_process9 Image
Using #MT can increase the #productivity of your #translator and save time. When combined with appropriate #translation tools, it can also help improve the quality of translations for you.
However, its important to remember that #tech is a tool that can reduce your effort, but not eliminate it entirely. For example, a car or an airplane can help you reach your destination faster, but you still need to drive or fly it.
Read 8 tweets
#Chapter8 of #StraightFromTheHeart by @rk_process9
Should you consider Machine Translation? Image
@rk_process9 #ChatGPT has generated more interest & debate in recent months than any other #tech in decades. It has accomplished tasks previously only seen in #scifi movies or read in fiction, marking a significant milestone in the field of #ai.
In 1950, father of #AI - Alan Turing, devised a test where a #machine could be considered AI, if one can't differentiate its responses from a human's. If a machine can accurately #translate text from one language to another, like a human, it would pass the Turing test.
Read 8 tweets
Private Idaho

Bill Gates bought ChatGPT so he could control the algorithm.

Let's look at what this means going forward. >
It will automatically scrub any negative information about Bill. It will actively promote negative information about his business rivals like @elonmusk >
Read 34 tweets
@rk_process9 #ChatGPT has sparked a global belief in #AI and its capabilities to replace humans. However, affluent individuals and businesses seek exclusive access to customized AI models rather than using the tools or #platforms that are publicly available.
With exclusivity, large businesses would be able to train these #AI models using years of their collected #data. This is understandable, as these individuals and businesses have reached #success by thinking and acting differently from their competitors.
Read 8 tweets
🧵Hugging Face, a leader in the #AI community, has revolutionized the creation, collaboration & discovery of ML models & apps.

By open-sourcing their tech, they've become a force in the industry, raising $160M & serving 10k+ companies.

Here's why their approach is key! #ML #NLP Image
🚀Open-sourcing allowed Hugging Face to foster collaboration among researchers & companies, propelling the launch of #ChatGPT - a tipping point in AI's shift from niche to mainstream. #OpenSource #MachineLearning
🌐With a focus on natural language processing & text-to-image tasks, Hugging Face expanded to other domains, hitting 50M page views in Jan.

Open science & open source are vital for ML advancement, despite some companies' commercial goals. #NLP #ComputerVision
Read 13 tweets
A meme and informational thread 🧵 for #OpenAI #ChatGPT #BingAI and other AI tools in general…

How smart is #ChatGPT👇 Image
Read 29 tweets
1/ 🎯 Introduction 📌
The #caret package in #R is a powerful tool for data pre-processing, feature selection, and machine learning model training. In this thread, we'll explore some useful tips & tricks to help you get the most out of caret. #DataScience #MachineLearning #RStats Image
2/ 🧹 Data Pre-processing 📌
caret offers various data pre-processing techniques, like centering, scaling, and removing near-zero-variance predictors. Use the preProcess() function to apply these methods before model training.🧪 #RStats #DataScience
3/ ⚙️ Feature Selection 📌
Use the rfe() function for recursive feature elimination. This method helps you find the most important features in your dataset, improving model performance & interpretation.🌟 #RStats #DataScience
Read 8 tweets
🧵1/7 Understanding the difference between test set and validation set is crucial for building accurate and robust machine learning models. In this thread, we'll discuss the key differences between these two sets and their importance in model development. #MachineLearning #RStats https://www.brainstobytes.c...
🧵2/7 Validation set: It is used during model development to tune hyperparameters and make decisions about the model architecture. It helps evaluate the model's performance and prevents overfitting by providing an unbiased estimate of how well the model generalizes to new data.
🧵3/7 Test set: This is a separate dataset not used during model training or validation. It's only used after the model has been finalized to assess its performance on completely unseen data. This provides an unbiased evaluation of the final model. #RStats #DataScience
Read 17 tweets
🧵1/10 - Law of Large Numbers (LLN) in R 📈

Hello #Rstats community! Today, we're going to explore the Law of Large Numbers (LLN), a fundamental concept in probability theory, and how to demonstrate it using R. Get ready for some code! 🚀

#Probability #Statistics #DataScience Image
🧵2/10 - What is LLN? 🧐

LLN states that as the number of trials (n) in a random experiment increases, the average of the outcomes converges to the expected value. In other words, the more we repeat an experiment, the closer we get to the true probability.

#RStats #DataScience
🧵3/10 - Coin Flip Example 🪙

Imagine flipping a fair coin. The probability of getting heads (H) is 0.5. As we increase the number of flips, the proportion of H should approach 0.5. Let's see this in action with R!

#RStats #DataScience
Read 11 tweets
[1/11] 🚀 Level Up Your R Machine Learning Skills with These Lesser-Known #RPackages! In this thread, we'll explore 10 hidden gems that can help you optimize your #MachineLearning workflows in R. Let's dive in! 🌊 #rstats #datascience Source:
[2/11] 📊 caretEnsemble: Model ensembling with caret - Combine multiple models with ease and boost your model performance using this powerful package. #rstats #datascience #machinelearning
[3/11] 📈 finalfit: Create regression model tables - Quickly generate publication-ready tables for regression models with #finalfit. Simplify reporting and communication of your results! #rstats #datascience #machinelearning
Read 12 tweets
Revolutionizing the World: 20 AI & Machine Learning Startups You Need to Know. 🧵...
1/20: In this thread i will try and explore the fascinating world of AI and machine learning startups! Discover some of the most innovative companies pushing the boundaries in this space. #AIStartups #MachineLearning
2/20: First up is @OpenAI, the team behind the groundbreaking GPT series.

With GPT-4, they're developing even more advanced natural language processing capabilities to revolutionize human-computer interactions. #NLP #OpenAI
Read 22 tweets
Today's Twitter threads (a Twitter thread).

Inside: Company that makes millions spying on students will get to sue a whistleblower; Red Team Blues Chapter One, part four; and more!

Archived at:…


1/  Image: Ingo Bernhardt http...
Today (Apr 21), I'm speaking in #Chicago at the @StiglerCenter's #Antitrust and #Competition Conference:…

This weekend (Apr 23/24), I'm at the @latimes #Bookfest:…

Company that makes millions spying on students will get to sue a whistleblower: The BC Appeals Court drops a *terrible* decision in Ian Linkletter's anti-SLAPP against Proctorio.

3/  Image: Ingo Bernhardt http...
Read 31 tweets
🤖📈 #MachineLearning is changing the game for businesses by providing insights that lead to better decision-making. From predicting customer behavior to optimizing supply chains, ML is a game-changer! #AI #BigData
🧠👨‍💻 With its ability to learn and adapt, #MachineLearning is like having a virtual assistant that's always looking for ways to improve your business processes. Say goodbye to manual data analysis and hello to automated insights! #DigitalTransformation
🤝💻 The collaboration between humans and #MachineLearning is the key to unlocking its true potential. We can create more accurate predictions and optimize complex systems by working together. #Teamwork #AI
Read 11 tweets

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