រៀនដើរដោយខ្លួនឯង! បទសំភាសន៍ចែករំលែករបស់ខ្ញុំនៅ RUPP

រៀនដើរដោយខ្លួនឯង! បទសំភាសន៍ចែករំលែករបស់ខ្ញុំនៅ RUPP | រីករាយ-Rik Reay

Рет қаралды 7,331

TFDevs

Күн бұрын

Пікірлер: 24

@kimseanchhean 3 ай бұрын

Thank you for sharing. I really admire both of you eps, the moderator. She's such a skillful woman within her wisdom.

@SalKh-ng3wo 3 ай бұрын

ខ្ញុំតាមដានបងឯងយូរហេីយ❤🎉🎉

@tfdevs 3 ай бұрын

Thanks for your support

@Lytho. 3 ай бұрын

Thanks for your sharing bong🧑🏻‍💻♡♡🎉

@tfdevs 3 ай бұрын

You’re welcome!

@money369ez 26 күн бұрын

ខ្ញុំចង់រៀន cyber security តែខ្ញុំអត់ដឹងរៀននៅណាទេបង ជួយណែនាំសិស្សប្អូនផងណាបងប្រុស❤

@LøngZī-b2w Ай бұрын

Idol skill computer science ល្អអត់❤❤ធ្វេីអ្វីបានខ្លះរៀននៅRupp ល្អអត់❤

@SorngJonhson 3 ай бұрын

wait so long for this.

@tfdevs 3 ай бұрын

It was recorded in October 2023.

@ទូចលីហេង 3 ай бұрын

Hi bong!! i have some question about Data Science , what is Data Science bong? and can you make video talk about it?

@traventure9865 3 ай бұрын

ខ្ញុំរៀនCSជំនាន់20 នៅRUPPខ្ញុំមានអារម្មណ៍ថាធ្លាប់រៀនជាបងឯងក្នុងថ្នាក់រៀនជាមួយសិស្សច្បងបង្រៀន ថ្នាក់SLS

@peta75189 3 ай бұрын

ត្រឡប់មកវិញហើយ? ខ្ញុំតាមដានរហូត

@tfdevs 3 ай бұрын

អរគុណ ដែលតាមដាន

@Lawren017 3 ай бұрын

Bong Can u detail Between CS and ITE❤

@tfdevs 3 ай бұрын

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.

@zainal8129 3 ай бұрын

❤

@H.LaingChhay 3 ай бұрын

❤❤❤

@reaxxmusic 3 ай бұрын

បងអោយប្អូនសុំសួរមួយបានអត់

@sreyleapyut3563 3 ай бұрын

It’s my honor to interview you b ❤

@chinanew-v7k 3 ай бұрын

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 )

@tfdevs 3 ай бұрын

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.

@tfdevs 3 ай бұрын

Also, you should be in your wage slave 9-5 zone if you have this idea in mind. What a scumbag!