Machine Learning, Research & It's Future | KUET

Live session on "Machine Learning, Research & It's Future".

In this live session, We discussed about Machine Learning, research areas and it's impact on future. We also talked about the learning process for beginners, getting started, resources to choose etc. We had a Q&A session where the guests answered most of your questions.

Subscribe: http://tiny.cc/anmspro

Guests:

Mahmudul Hasan Shauqi (KUET CSE 2k13)
Graduate Teaching Assistant, Stony Brook University
Site - https://sites.google.com/view/shauqi/...

Zabir Al Nazi Nabil (KUET ECE 2k14)
Software Engineer, TigerIT Bangladesh Ltd.
Stackoverflow - https://stackoverflow.com/users/46220...
Google Scholar - https://scholar.google.com/citations?...
Linkedin -   / zan0nabil  
GitHub - https://github.com/zabir-nabil

Sakib Reza (KUET CSE 2k15)
Software Engineer, Samsung R&D Institute Bangladesh.
Linkedin -   / sakibreza  
GitHub - https://github.com/sakibreza

Books:
1. An Introduction to Statistical Learning - Gareth M. James
2. Python Machine Learning - Sebastian Raschka
3. Deep Learning Ian Goodfellow (Hard)
4. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems - Aurélien Geron
5. Understanding Machine Learning: From Theory to Algorithms - Shai Ben-David and Shai Shalev-Shwartz (Hard)
6. Pattern Recognition and Machine Learning - Christopher Bishop (Somewhat Hard)

Links:
https://pytorch.org/tutorials/
http://karpathy.github.io/
http://colah.github.io/

Datasets:
https://datasetsearch.research.google...
https://www.kaggle.com/competitions#
https://grand-challenge.org/challenges/
https://archive.ics.uci.edu/ml/index.php
https://github.com/awesomedata/awesom...

Courses:
1. Machine Learning Andrew Ng Courses (Coursera)
2. Deep Learning Andrew Ng Courses (Coursera)
3. Intro to Tensorflow for Deep Learning (Udacity)
4. Deep Learning Course MIT by Lex Fridman - https://deeplearning.mit.edu/
5. MIT 6.S191 by Alexander Amini and Ava Soleimany - http://introtodeeplearning.com/
6. Stanford cs231n by Fei Fei Li http://cs231n.stanford.edu/
7. Courses from fast.ai https://www.fast.ai/
8. Learning from Data: A Short Course - Yaser S. Abu-Mostafa

Path for Beginner:

Hard Way:
1. Machine Learning and Deep Learning course andrew ng
2. Pattern Recognition by Bishop
3. Understanding Machine Learning - Shai Ben-David
4. Deep Learning - Ian Goodfellow

Easy and Fast Way:
1. Deep Learning Course - Andrew NG
2. Intro to Tensorflow for Deep Learning (Udacity)
3. Medium Blogs

All Sessions:
Competitive Programming & SGIPC:    • Competitive Programming & SGIPC | KUET  
Machine Learning, Research & It's Future:    • Machine Learning, Research & It's Fut...  
Career Talk on Software Development:    • Career Talk on Software Development |...  
Cracking the GRE Exam:    • Cracking the GRE Exam | KUET  

Subscribe for more: http://tiny.cc/anmspro

Connect with me:

Facebook -   / abunomanmd.sakib  
LinkedIn -   / anmspro  
Instagram -   / sakib_anms  
Twitter -   / anms_pro  
GitHub - https://www.github.com/anmspro
Quora - https://www.quora.com/profile/Abu-Nom...
Medium -   / anms_pro  
Stackoverflow - https://stackoverflow.com/users/78106...
Kaggle - https://www.kaggle.com/anmspro

Video Tags:

machine learning,deep learning,artificial intelligence,what is machine learning,abu noman md sakib,research & it's future,kuet,machine learning bangla,machine learning kuet,machine learning bangla live,research live bangla,machiine learning future bangladesh,machine learning bd,research in bangladesh,artificial intelligence bangla,deep learning bangla,computer vision bangla,cse family kuet,kuet cse,kuet ece,machine learning cse kuet,machine learning ece