The AI Lifecycle: From Data Collection to Model Application
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Explore the AI lifecycle with us as we go through every step from data collection to model application.
This guide details how artificial intelligence systems are designed, deployed, and sustained, emphasizing the significant ethical considerations necessary for responsible AI development.
? What You'll Learn:
➜ Detailed phases of the AI lifecycle: data collection, preprocessing, model training, evaluation, deployment, and monitoring.
➜ The importance of high-quality data and specific preprocessing methods to enhance AI training.
➜ Evaluation metrics like accuracy and precision to verify model performance.
➜ The integration of continuous monitoring and fine-tuning in maintaining effective AI applications.
➜ Grouping of lifecycle stages into three ethical categories: Ethical Data Collection, Ethical AI Development, and Ethical AI Deployment.
➜ The four guiding principles of AI ethics: transparency, accountability, fairness, and privacy, and their role in safeguarding AI integrity.
Don’t forget to like, subscribe, and hit the bell for more AI and data science content!
? Interested in learning more about data engineering and other crucial data and AI roles? Check out our courses at 365 Data Science, designed to equip you with the knowledge you need to excel in this rapidly evolving landscape.
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LinkedIn: https://www.linkedin.com/school/365datascience/
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365 Data Science is an online educational career website that offers the incredible opportunity to find your way into the data science world no matter your previous knowledge and experience. We have prepared numerous courses that suit the needs of aspiring BI analysts, Data analysts and Data scientists.
We at 365 Data Science are committed educators who believe that curiosity should not be hindered by inability to access good learning resources. This is why we focus all our efforts on creating high-quality educational content which anyone can access online.
#AILifecycle #AI #DataScience #ArtificialIntelligence #MachineLearning #AIethics #365DataScience #AItraining #AIdeployment #TechEducation #LearnAI
Explore the AI lifecycle with us as we go through every step from data collection to model application.
This guide details how artificial intelligence systems are designed, deployed, and sustained, emphasizing the significant ethical considerations necessary for responsible AI development.
? What You'll Learn:
➜ Detailed phases of the AI lifecycle: data collection, preprocessing, model training, evaluation, deployment, and monitoring.
➜ The importance of high-quality data and specific preprocessing methods to enhance AI training.
➜ Evaluation metrics like accuracy and precision to verify model performance.
➜ The integration of continuous monitoring and fine-tuning in maintaining effective AI applications.
➜ Grouping of lifecycle stages into three ethical categories: Ethical Data Collection, Ethical AI Development, and Ethical AI Deployment.
➜ The four guiding principles of AI ethics: transparency, accountability, fairness, and privacy, and their role in safeguarding AI integrity.
Don’t forget to like, subscribe, and hit the bell for more AI and data science content!
? Interested in learning more about data engineering and other crucial data and AI roles? Check out our courses at 365 Data Science, designed to equip you with the knowledge you need to excel in this rapidly evolving landscape.
►VISIT our website: https://bit.ly/4i3rpwg
► Consider hitting the SUBSCRIBE button if you LIKE the content: https://www.youtube.com/c/365DataScie...
? Connect with us:
LinkedIn: https://www.linkedin.com/school/365datascience/
Instagram: https://www.instagram.com/365datascience/
Facebook: https://www.facebook.com/365DataScience/
365 Data Science is an online educational career website that offers the incredible opportunity to find your way into the data science world no matter your previous knowledge and experience. We have prepared numerous courses that suit the needs of aspiring BI analysts, Data analysts and Data scientists.
We at 365 Data Science are committed educators who believe that curiosity should not be hindered by inability to access good learning resources. This is why we focus all our efforts on creating high-quality educational content which anyone can access online.
#AILifecycle #AI #DataScience #ArtificialIntelligence #MachineLearning #AIethics #365DataScience #AItraining #AIdeployment #TechEducation #LearnAI
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