ITE is a new department (Open in 2014) which offers more challenging courses and practical projects. ITE is part of faculty of engineering. CS is part of faculty of science.
I would avoid selling a Data Science course if you have never worked in Big Tech before. Working with Big Data requires practical experience, which is more complicated than what you learn in school. For example, using Hadoop, Spark, BigQuery ( which u will never able to learn without huge amount data )
The idea that you need big data to learn, practice, and apply data science and AI concepts is misleading. Our data science provides foundational knowledge and hands-on projects to help students understand and apply data science concepts. While tools like Hadoop, Spark, and BigQuery are essential for handling massive datasets, their principles can be learned with smaller datasets. Moreover, these tools are not the entire picture. We focus on fundamental concepts such as Linear Regression, Logistic Regression, decision trees, neural networks, and reinforcement learning, which don't require massive datasets to learn and practice. We focus on building the model with open source datasets from Kaggle. Additionally, we encourage an entrepreneurial mindset, aiming to empower students beyond traditional office roles.
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Idol skill computer science ល្អអត់❤❤ធ្វេីអ្វីបានខ្លះរៀននៅRupp ល្អអត់❤
Thank you for sharing. I really admire both of you eps, the moderator. She's such a skillful woman within her wisdom.
ខ្ញុំរៀនCSជំនាន់20 នៅRUPPខ្ញុំមានអារម្មណ៍ថាធ្លាប់រៀនជាបងឯងក្នុងថ្នាក់រៀនជាមួយសិស្សច្បងបង្រៀន ថ្នាក់SLS
Hi bong!! i have some question about Data Science , what is Data Science bong? and can you make video talk about it?
ខ្ញុំតាមដានបងឯងយូរហេីយ❤🎉🎉
Thanks for your support
Thanks for your sharing bong🧑🏻💻♡♡🎉
You’re welcome!
Bong Can u detail Between CS and ITE❤
ITE is a new department (Open in 2014) which offers more challenging courses and practical projects. ITE is part of faculty of engineering. CS is part of faculty of science.
wait so long for this.
It was recorded in October 2023.
បងអោយប្អូនសុំសួរមួយបានអត់
It’s my honor to interview you b ❤
❤
ត្រឡប់មកវិញហើយ? ខ្ញុំតាមដានរហូត
អរគុណ ដែលតាមដាន
❤❤❤
I would avoid selling a Data Science course if you have never worked in Big Tech before. Working with Big Data requires practical experience, which is more complicated than what you learn in school. For example, using Hadoop, Spark, BigQuery ( which u will never able to learn without huge amount data )
The idea that you need big data to learn, practice, and apply data science and AI concepts is misleading.
Our data science provides foundational knowledge and hands-on projects to help students understand and apply data science concepts.
While tools like Hadoop, Spark, and BigQuery are essential for handling massive datasets, their principles can be learned with smaller datasets. Moreover, these tools are not the entire picture.
We focus on fundamental concepts such as Linear Regression, Logistic Regression, decision trees, neural networks, and reinforcement learning, which don't require massive datasets to learn and practice. We focus on building the model with open source datasets from Kaggle.
Additionally, we encourage an entrepreneurial mindset, aiming to empower students beyond traditional office roles.
Also, you should be in your wage slave 9-5 zone if you have this idea in mind. What a scumbag!
កាលណាបានបងឯងឈប់ខ្យូត
ហាហា ធម្មតាទេ