18/12/2025
SMUCT Machine learning community
Share
Our mission is to foster a collaborative space where knowledge thrives, ideas flourish
18/12/2025
15/12/2025
Google Developer Group (GDG) Dhaka DevFest 2025 – Code Lab Session
Google Developer Group (GDG) Dhaka, in collaboration with Shanto-Mariam University of Creative Technology, is organizing DevFest 2025 – Code Lab Session for students.
DevFest is a global, community-driven developer event hosted annually by Google Developer Groups worldwide. This session is designed to provide students with hands-on experience and practical exposure to modern software development practices and Google developer technologies.
Event Details:
Venue: UB Computer Lab, Shanto-Mariam University of Creative Technology
Date: 17 December 2025
Time: 11:30 AM
Interested students are requested to register through the provided Google Form. Due to limited capacity, participants will be selected based on submitted information, and confirmation will be communicated via email.
GDG Dhaka DevFest 2025_Code Lab Shanto-Mariam University of Creative Technology Google Developer Group (GDG) Dhaka is pleased to organize DevFest 2025 – Code Lab Session at Shanto-Mariam University of Creative Technology. DevFest is a globally recognized, community-led developer event hosted annually by Google Developer Groups in over 120 countries. This session aims to provi...
10/12/2025
Congratulations 👏🏼🎉
18/05/2024
Today, the Department of CSE & CSIT and the SMUCT Machine learning community organized an engaging Introduction to Machine Learning session for students across all semesters who are new to this fascinating field. The session was graced by the presence of SMUCT Machine Learning Community Advisors Maruf Hossain Sir and Farida Siddiqi Prity Ma'am, both dedicated lecturers from the Department of CSE & CSIT, SMUCT, along with the enthusiastic community leaders of the SMUCT Machine Learning Community.
During the session, they provided an insightful overview of how machine learning is revolutionizing various aspects of our daily lives. They explained how machine learning technologies are making tasks easier, more efficient, and even more enjoyable. From personalized recommendations on streaming services to advanced medical diagnoses, the lecturers highlighted the far-reaching impact of machine learning.
The community leaders shared their experiences and encouraged everyone to join the SMUCT Machine Learning Community. They emphasized that being part of this community offers a great opportunity to learn, collaborate, and innovate in the field of machine learning. The session ended with an open invitation to all students to become active members of the community and explore the endless possibilities that machine learning has to offer.
18/05/2024
❤️❤️
11/03/2024
May this Ramadan be filled with blessings and insights, enriching our journey in the world of machine learning. Ramadan Mubarak to all in the ML community!
Happy Ramadan Mubarak 💞
11/03/2024
SMUCT Machine learning community
03/02/2024
"Embarking on our machine learning journey with Maruf Sir and Prity Mam at the helm!
Today marked the kickoff of our community's first session – a brilliant start to a promising learning adventure. Grateful for the knowledge, insights, and expertise shared by our dynamic instructors.
The session was about the whole journey and our advisor assigned our work for the first week.
Keep your eyes on every Saturday. For more information, connect with us 😍
01/02/2024
সকলের দৃষ্টি আকর্ষণ করছি। যারা মেশিন লার্নিং শিখতে আগ্রহী এবং মেশিন লার্নিং কমিউনিটির সাথে যুক্ত হতে চান সবাই এই ফর্ম টি পূরণ করবেন। আপনার দেওয়া তথ্য থেকে আমরা কমিউনিটির কার্যক্রমের পরিকল্পনা করব৷ তাই এই ফর্ম টি পূরন করা অত্যাবশকীয়।
form link: https://forms.gle/AbpuHo3kemKe5N3k6
ধন্যবাদ।
Machine learning Community Members Contact information Welcome to the SMUCT Machine Learning Community Registration Form! We're thrilled to bring together machine learning enthusiasts like you at SMUCT. This form will help us understand your background, experience level, and interests in machine learning. Whether you're just starting or have years of ex...
18/01/2024
Embracing brilliance! Extend a warm welcome to our distinguished machine learning advisor: MD Maruf Hossain.
Shaping the future of AI with expertise and insight.
We Hope our community will grow up with the help of our honorable lecturer and advisor of SMUCT Machine learning community
Welcome 🥳🥳
17/01/2024
👉👉 Decoding Machine Learning vs Deep Learning: Understanding the Contrasts:-
If you are interested in building your career in the IT industry then you must have come across
Data Science which is a booming field in terms of technologies and job availability as well. Here, we will learn about the two major fields in Data Science that are ML and Deep Learning. So, that you can choose which fields suit you best and is feasible to build a career in.
✅ MachineLearning:-
Machine Leaning allows the computers to learn from the experiences by its own, use statistical methods to improve the performance and predict the output without being explicitly programmed.
It involves training algorithms on large datasets to identify patterns and relationships and then using these patterns to make predictions or decisions about new data.
✅ DEEP LEARNING:-
Deep learning is a specialized form of machine learning that teaches machines to do what humans are naturally born with: learn by example.
Though the technology is often considered a set of algorithms and networks that aim to ‘mimic the brain’, a more appropriate description would be a set of algorithms and networks that ‘learn in layers’.
✅ Combining Deep Learning with Reinforcement technology powers innovations like driverless cars, voice-controlled devices, robotics, and more.
✅ Similarities:-
· AI Techniques: Both are subsets of data science and AI.
· Statistical basis: DL and ML both use statistical methods to train. e.g. regression analysis, decision trees, linear algebra, and calculus.
· Large datasets: Both ML and DL require large sets of quality training data to make more accurate predictions.
✅ Key differences:-
· Intended use cases: ML identifies patterns from structured data, such as classification and recommendation.
· DL solutions are more suited for unstructured data, where a high level of abstraction is needed to extract features.
· Problem-solving approach:
In ML, humans select and extract features from raw data and assign weights. DL solutions perform feature engineering with minimal human intervention.
· Training methods:
ML: supervised , unsupervised, semi-supervised, and reinforcement learning.
DL: convolutional neural , recurrent neural , generative adversarial networks, and autoencoders.
· Performance:
Both ML and deep learning have specific use cases where they perform better than the other.
· Infrastructure: ML : Run on a single instance or server cluster, DL: Requires high-performance clusters.
· Outputs: ML: Numerical Value, like classification of the score.DL: Anything from numerical values to free-form elements, such as free text and sound.
In conclusion, we can say that deep learning is machine learning with more capabilities and a different working approach. And selecting any of them to solve a particular problem is depend on the amount of data and complexity of the problem.
31/12/2023
🎉✨Happy New Year, SMUCT ML Enthusiasts! 🚀 As we bid farewell to the past and embrace the infinite possibilities of the future, may your algorithms converge, your models generalize flawlessly, and your code compile without errors. May your datasets be diverse, your features relevant, and your predictions accurate! 📊🔍
Want your school to be the top-listed School/college in Dhaka?
Click here to claim your Sponsored Listing.
Click here to claim your Sponsored Listing.
Location
Category
Contact the school
Website
Address
Permanent Campus Plot# 06, Avenue# 06, Sector# 17/H-1, Uttara
Dhaka
1230
Dhaka
1230