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Types of Activation functions in Machine Learning 👍
The team at oxfordrobots are developing solutions for robots to be able to perceive their environment and make intelligent decisnotificationsions on how to move from one point to another.
Types of Activation functions in Machine Learning 👍
The team at oxfordrobots are developing solutions for robots to be able to perceive their environment and make intelligent decisnotificationsions on how to move from one point to another.
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https://www.instagram.com/p/DAh-cAZI7NY/?igsh=MTBqcTM2OGZlN3pqZg==
7 in demand Data Analytics skills
The team at oxfordrobots are developing solutions for robots to be able to perceive their environment and make intelligent decisnotificationsions on how to move from one point to another.
7 in demand Data Analytics skills
The team at oxfordrobots are developing solutions for robots to be able to perceive their environment and make intelligent decisnotificationsions on how to move from one point to another.
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AI Tom Cruise in a galaxy far, far away! 🤯
Created using the Minimax AI video model by Hailuo AI. It’s crazy how far AI tools have come, making scenes like this possible.
Credits: Stuart Lynch.
#ai #chatgpt #aitools #openai #aitips #machinelearning
AI Tom Cruise in a galaxy far, far away! 🤯
Created using the Minimax AI video model by Hailuo AI. It’s crazy how far AI tools have come, making scenes like this possible.
Credits: Stuart Lynch.
#ai #chatgpt #aitools #openai #aitips #machinelearning
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Tesla’s “We, Robot” event offered a glimpse into its autonomous tech ambitions, displaying the upgraded Optimus robot, a Robovan prototype, and the radical Cybercab—an autonomous vehicle without steering wheel or pedals.
This event marks a major moment for Musk, who has been promising fully autonomous Teslas for years and is finally delivering.
This focus shows how the larger industry is pushing to bring robotics closer to everyday life, signaling the tech world’s enduring pursuit of true autonomy.
@Artificial_intelligence_ai
To learn AI from basics:
YouTube: https://www.youtube.com/c/asifimmanad
Telegram: https://t.me/Artificial_intelligence_AI
This event marks a major moment for Musk, who has been promising fully autonomous Teslas for years and is finally delivering.
This focus shows how the larger industry is pushing to bring robotics closer to everyday life, signaling the tech world’s enduring pursuit of true autonomy.
@Artificial_intelligence_ai
To learn AI from basics:
YouTube: https://www.youtube.com/c/asifimmanad
Telegram: https://t.me/Artificial_intelligence_AI
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This is wild😲
Famous paintings reborn
The new Minimax img2vid brings more richness to old paintings.
Music : Vivaldi - Four Seasons 4 Winter mvt 1 Allegro non molto
Paintings from Wikipedia
@Artificial_intelligence_ai
Telegram: https://t.me/Artificial_intelligence_AI
Famous paintings reborn
The new Minimax img2vid brings more richness to old paintings.
Music : Vivaldi - Four Seasons 4 Winter mvt 1 Allegro non molto
Paintings from Wikipedia
@Artificial_intelligence_ai
Telegram: https://t.me/Artificial_intelligence_AI
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UC Berkeley's "Machine Learning" lecture notes
📓 Book
@Artificial_intelligence_ai
Telegram: https://t.me/Artificial_intelligence_AI
📓 Book
@Artificial_intelligence_ai
Telegram: https://t.me/Artificial_intelligence_AI
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🚀 If you’re a Data Scientist, you should learn how to deploy models in production.
📚 Here are 3 books, 3 courses, 3 blogs, and 3 podcasts to level up your MLOps skills:
📖 Books:
📕 Designing Machine Learning Systems by Chip Huyen with actual case studies of ML systems in enterprise: https://www.oreilly.com/library/view/designing-machine-learning/9781098107956/
📗 Practical MLOps: Operationalizing Machine Learning Models by Noah Gift & Alfredo Deza: https://www.amazon.com/Practical-MLOps-Operationalizing-Machine-Learning/dp/1098103017
📘 Machine Learning Engineering in Action by Benjamin Wilson: https://www.oreilly.com/library/view/machine-learning-engineering/9781617298714/
🎓 Courses:
💻 Deployment of Machine Learning Models by Soledad Galli and Chris Samiullah: Learn to deploy with FastAPI, containers, and AWS: https://www.udemy.com/course/deployment-of-machine-learning-models/
🧠 Machine Learning Specialization by Noah Gift and Alfredo Deza: A comprehensive MLOps course: https://www.coursera.org/specializations/mlops-machine-learning-duke
🎯 MLOps Specialization by Andrew Ng, Laurence Moroney, Robert Crowe, and Cristian Bartolomé: https://www.deeplearning.ai/courses/machine-learning-in-production/
📝 Blogs:
🚗 Uber Engineering Blog: https://www.uber.com/en-US/blog/engineering/
🏠 Airbnb Engineering and Data Science Blog: https://airbnb.io/
💼 Nubank Engineering Blog: https://building.nubank.com.br/
🎙 Podcasts:
🎧 MLOps Community Podcast: Learn more about MLOps: https://podcast.mlops.community/
🎙 AI Stories Podcast Episodes:
How to get into MLOps with Demetrios Brinkmann, CEO of the MLOps Community: https://www.youtube.com/watch?v=nrmOr98uR1M
MLOps and LLMOps with Noah Gift, MLOps Leader and Author: https://www.youtube.com/watch?v=jZGtmCrgTxk
Model deployment and code best practices with Maria Vechtomova, MLOps Tech Lead: https://www.youtube.com/watch?v=Nnq_2uHBUSo (🎉 Credits: Neil Leiser)
Give some likes ♥️ or ⭐️ bruh!
📚 Here are 3 books, 3 courses, 3 blogs, and 3 podcasts to level up your MLOps skills:
📖 Books:
📕 Designing Machine Learning Systems by Chip Huyen with actual case studies of ML systems in enterprise: https://www.oreilly.com/library/view/designing-machine-learning/9781098107956/
📗 Practical MLOps: Operationalizing Machine Learning Models by Noah Gift & Alfredo Deza: https://www.amazon.com/Practical-MLOps-Operationalizing-Machine-Learning/dp/1098103017
📘 Machine Learning Engineering in Action by Benjamin Wilson: https://www.oreilly.com/library/view/machine-learning-engineering/9781617298714/
🎓 Courses:
💻 Deployment of Machine Learning Models by Soledad Galli and Chris Samiullah: Learn to deploy with FastAPI, containers, and AWS: https://www.udemy.com/course/deployment-of-machine-learning-models/
🧠 Machine Learning Specialization by Noah Gift and Alfredo Deza: A comprehensive MLOps course: https://www.coursera.org/specializations/mlops-machine-learning-duke
🎯 MLOps Specialization by Andrew Ng, Laurence Moroney, Robert Crowe, and Cristian Bartolomé: https://www.deeplearning.ai/courses/machine-learning-in-production/
📝 Blogs:
🚗 Uber Engineering Blog: https://www.uber.com/en-US/blog/engineering/
🏠 Airbnb Engineering and Data Science Blog: https://airbnb.io/
💼 Nubank Engineering Blog: https://building.nubank.com.br/
🎙 Podcasts:
🎧 MLOps Community Podcast: Learn more about MLOps: https://podcast.mlops.community/
🎙 AI Stories Podcast Episodes:
How to get into MLOps with Demetrios Brinkmann, CEO of the MLOps Community: https://www.youtube.com/watch?v=nrmOr98uR1M
MLOps and LLMOps with Noah Gift, MLOps Leader and Author: https://www.youtube.com/watch?v=jZGtmCrgTxk
Model deployment and code best practices with Maria Vechtomova, MLOps Tech Lead: https://www.youtube.com/watch?v=Nnq_2uHBUSo (🎉 Credits: Neil Leiser)
Give some likes ♥️ or ⭐️ bruh!
O’Reilly Online Learning
Designing Machine Learning Systems
Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data... - Selection from Designing Machine Learning Systems [Book]
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This is wild😲
They’re even carrying babies now!🤖
👶 In this mind-blowing future, humanoid robots are taking on roles we never thought possible… nurturing life itself! 🍼✨
From cleaning floors to cradling life, the world is transforming at an incredible pace! 🌐⚡️ Are we prepared for a reality where machines become family? 🧐💭
Is this an exciting leap forward or a step too far? 😮👇 What do you think — are you on board with this future, or does it make you wonder about the boundaries of technology? 🤖
👶 Are you for it, against it, or maybe a little bit of both? 🤔💬
@Artificial_intelligence_ai
Telegram: https://t.me/Artificial_intelligence_AI
This is wild😲
They’re even carrying babies now!🤖
👶 In this mind-blowing future, humanoid robots are taking on roles we never thought possible… nurturing life itself! 🍼✨
From cleaning floors to cradling life, the world is transforming at an incredible pace! 🌐⚡️ Are we prepared for a reality where machines become family? 🧐💭
Is this an exciting leap forward or a step too far? 😮👇 What do you think — are you on board with this future, or does it make you wonder about the boundaries of technology? 🤖
👶 Are you for it, against it, or maybe a little bit of both? 🤔💬
@Artificial_intelligence_ai
Telegram: https://t.me/Artificial_intelligence_AI
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Stanford just uploaded their new "Building LLMS" lecture. It's a must watch.🔥
"This lecture provides a concise overview of building a ChatGPT-like model, covering both pretraining (language modeling) and post-training (SFT/RLHF).
For each component, it explores common practices in data collection, algorithms, and evaluation methods."
https://www.youtube.com/watch?v=9vM4p9NN0Ts
@Artificial_intelligence_ai
Telegram: https://t.me/Artificial_intelligence_AI
"This lecture provides a concise overview of building a ChatGPT-like model, covering both pretraining (language modeling) and post-training (SFT/RLHF).
For each component, it explores common practices in data collection, algorithms, and evaluation methods."
https://www.youtube.com/watch?v=9vM4p9NN0Ts
@Artificial_intelligence_ai
Telegram: https://t.me/Artificial_intelligence_AI
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