Best tweets about Machine Learning

by

Tweet Hunter

Here you have 6 ideas about what to write on Twitter about Machine Learning:

  1. How Machine Learning is changing the world of technology.

  2. The impact of Machine Learning on Big Data analytics.

  3. Discussing new applications and use cases that make use of Machine Learning technologies.

  4. Exploring the rise in demand for professionals with Machine Learning expertise.

  5. Examining trends in the Machine Learning landscape.

  6. Exploring the potential of Machine Learning to transform industries.

Looking for the best tweets about Machine Learning?

Best tweets about Machine Learning

Find the best, most liked, and retweeted tweets about Machine Learning from your favorite Twitter accounts and personalities.

After you're done reading these, make sure to also check our Best tweets about Reddit and Best tweets about Java Script.


Note to self: Statistics = Math Statistics + Python = Data Analytics Statistics + Python + Model = Machine Learning Statistics + Python + Model + Domain Knowledge = Data Science



Crush Machine Learning in the second half of 2022 🎯 🚀July - Python/SQL 🚀August - Data Viz in Pandas/Matplotlib 🚀September - Math/Stats 🚀October - Machine Learning 🚀November - Deep Learning 🚀December - Projects + Interview Prep 🤖New Year - Apply for ML Engineer roles



What are some beginner-level courses you can recommend me to learn Machine Learning? This is one of the questions I get most. I don't recommend any paid courses to anyone. You can consider checking these 2 free courses



Thank you for 10K followers🥳 We plan to release even more content around 🐍Python 🤖Machine Learning 🧠Deep Learning 🚀Building a business with ML in the upcoming weeks, so stay tuned!


The Finite Physicist

@FinitePhysicist

it would be a lot more accurate to call it computational statistics than machine learning or artificial intelligence



I am much less worried about sentient AIs than the fact that we are surrounded and influenced by machine learning systems and are not taught how to reason through how they work.


tef (job seeking arc)

@tef_ebooks

thinking of becoming a luddite except for smashing the machine learning code mills


Saurav Jain (Open Source + Communities)

@Sauain

I have created a document that contains 15 resources for: - Machine Learning 📠 - Python 🐍 - Data Science 🔢 - Artificial Intelligence 🤖 - NLP 🗣️ - Open Source 💜 Access it now 👇


Alexey Grigorev

@Al_Grigor

Some people will tell you that you must know math to get into machine learning Don't listen to them They are just afraid of competition



Working on problems is the best way to learn machine learning. But most people don't know where to start. Here are 10 projects to start your journey: ↓



Machine Learning models do not predict the future. They just find patterns in the past.


Radek Osmulski 🇺🇦

@radekosmulski

Are you serving machine learning models in production? How are you deploying your models? What technology do you use?



Are you looking to get job as a Data Scientist or ML Engineer? The general way is to apply for an opening but the best way is to find open source companies and then contributing to their projects Here's a list of 10 Open Source Machine Learning Startups you can contribute to👇🏽



Taking this moment to thank everyone who follows me. Are you into Python, Machine Learning and Data Science? I am sharing daily content around that, so make sure to follow if you haven't already. Introduce yourself below to the amazing community, let's keep building this up👇



When a data scientist tells you: "I spend 80% of my time on machine learning." ...they actually mean: "I spend 80% of my time on data processing and the rest on ML"



Practical Machine learning is more than just building models. 3 ways to put your machine learning model in production 👇


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