Day 4 of 100: Data Science Workflow!
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Day 4 of 100: Data Science Workflow!#ai #ml #datascience #workflow #machinelearning
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Platforms to learn Data Science 🔥
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.
Platforms to learn Data Science 🔥
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.
Day 5 of 100: Applications of Data Science!
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Day 5 of 100: Applications of Data Science #ai #ml #datascience #datascientist #applications
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Machine Learning Cheatsheet 🔥
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.
Machine Learning Cheatsheet 🔥
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.
Day 6 of 100: Introduction to Machine learning!
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Day 6 of 100: Introduction to Machine learning!#ai #ml #supervisedlearning #unsupervisedlearning
Day 7 of 100: Machine learning vs Traditional Programming
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Day 7 of 100: Machine Learning vs Traditional Programming #ai #ml #datascience #programming
Day 8 of 100: Data Science Tools and technology
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Day 8 of 100: Data Science Tools and technology #ai #ml #datascience #datasciencetools #technology
Day 9 of 100: Different Data Science Roles
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Day 9 of 100: Different Data Science Roles #ai #ml #datascience #dataanalyst #dataengineer
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Data Science Roles and how they interact
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.
Data Science Roles and how they interact
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.
@Artificial_intelligence_ai
Multimodal contrastive learning for spatial gene expression prediction using histology images
🖥 Github: https://github.com/modelscope/data-juicer
📕 Paper: https://arxiv.org/abs/2407.08583v1
🚀 Dataset: https://paperswithcode.com/dataset/coco
To learn AI from basics:
YouTube: https://www.youtube.com/c/asifimmanad
Telegram: https://www.tgoop.com/Artificial_intelligence_AI
Multimodal contrastive learning for spatial gene expression prediction using histology images
🖥 Github: https://github.com/modelscope/data-juicer
📕 Paper: https://arxiv.org/abs/2407.08583v1
🚀 Dataset: https://paperswithcode.com/dataset/coco
To learn AI from basics:
YouTube: https://www.youtube.com/c/asifimmanad
Telegram: https://www.tgoop.com/Artificial_intelligence_AI
https://www.instagram.com/p/C-hc62RIhVB/?igsh=a21uanNmNDRod3Nq
How to Choose a right graph for Data Visualization
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.
How to Choose a right graph for Data Visualization
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.
Day 10 of 100: Daily Tasks of a Data Scientist!
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K-Means Clustering Algorithm
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.
K-Means Clustering Algorithm
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.
https://www.instagram.com/p/C-zexrBxt4L/?igsh=MXE5d2dqd2I3N3Bocw==
Save this for Future Reference!!
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.
Save this for Future Reference!!
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.
Day 11 of 100: Basics of Python, Syntax and Data Types!
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Day 11 of 100: Basics of Python, Syntax and Data Types!#ai #ml #datascience #python #syntax
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Spectrum of Data Science
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.
Spectrum of Data Science
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.
Day 12 of 100: Data Manipulation with Pandas
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Day 12 of 100: Data Manipulation with Pandas #ai # ml #datascience #datamanipulation #pandas
Day 13 of 100: Numpy for Data Science
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Day 13 of 100: Numpy for Data Science #ai #ml #datascience #numpy #datascientist #machinelearning
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The Evolution of AI 🔥
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.
The Evolution of AI 🔥
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.
https://www.instagram.com/p/C_Z-_JCIa5p/?igsh=Y3RxdWQ1NDlkaThu
Save this for Future Reference!🔥
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.
Save this for Future Reference!🔥
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.