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Computing For All @UC-NR0V8EWwisDqbET9XCGoA@youtube.com

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Dr. Shahriar Hossain is a seasoned expert in Artificial Inte


03:10
LSTM vector sizes
18:58
LSTM Theory and Math Clearly Explained
01:12
Transformers: The Future of Modern AI
01:37
Visualization of Sigmoid Activation Function using Python
16:00
Skip-gram Word2Vec: A Powerful Word Embedding Technique using a Simple Neural Network in Python
09:26
How Neural Network Word Embeddings Actually Work
09:44
Sigmoid Function -- When to use it as an Activation Function in Neural Networks
06:19
Simplifying Neural Network Code in PyTorch (and why it matters)
08:12
Generative Adversarial Networks (GANs) Explained: How They Work, Types, and Applications
04:37
Code: ReLU and Leaky ReLU in Deep Learning using PyTorch: A Code Walkthrough!
08:23
Mean Reciprocal Rank (MRR): Evaluating a Retrieval System
04:17
ReLU and Leaky ReLU Activation Functions in Deep Learning
01:29
Logit in Neural Networks and Logistic Regression
06:37
Classification and Regression Neural Networks in Machine Learning
32:10
Create a Basic Neural Network with PyTorch
08:12
Neural Networks Explained: A Beginner's Guide (Part 2)
10:28
Neural Networks Explained: A Beginner's Guide
03:39
Properties of Modern Artificial Intelligence
02:58
Difference between Artificial Intelligence and Machine Learning
09:54
Best Research Tools For Graduate Students (PhD, Masters)
07:32
Do I need a master’s degree to apply for a Ph.D.?
07:39
How to prepare for a PhD as a bachelor student
11:42
How to Expedite Your Ph.D. Journey for Success
06:47
No-training Sentiment Analysis Model for Quick Application Prototyping
01:54
Recommendation Systems in Machine Learning
01:36
Neural Network vs Deep Learning
02:13
Machine Learning Algorithms for Data Science
02:28
How to Learn AI: Best Online Courses for Machine Learning
02:12
Selecting Machine Learning Models
01:51
Types of Learning in Machine Learning
07:06
3D Pose Estimation including Z-Depth: The Coolest Tech You Can DIY
05:19
Foundation Models vs. Traditional Machine Learning: The Future of AI
08:27
Small YouTube Channel Analytics for Channel Owners Like Me: Is Your Channel Monetized?
08:18
AI Is Changing Elections Forever
09:46
GPT-4o for Video Summarization: A Computer Vision Project in Python
01:07
Trailer of Video Summarization with YOLOand ChatGPT
06:38
YOLO and ChatGPT for Video Summarization and Understanding: Python Program
08:52
Avoid Looking Unqualified as a Data Science & AI Leader
08:23
Types of Neural Networks and When to Use Which Type
04:21
Machine Learning Projects with Source Code to Boost Your AI Skills
04:38
Neural Network Weights for Feature Selection in Data: Part 2 of 2
08:01
How Data Science/AI Shapes Your Daily Life
08:40
Neural Network Weights for Feature Selection in Data: Part 1 of 2
08:15
Key Problem-Solving Strategies in AI
09:34
Neural Networks vs Linear Regression: The Showdown
04:00
Why Clients Don't Understand Tech (and Why You Should Care)
02:03
Sorry!🥹 Erratum of L1/L2 Neural Network Regularization Video
10:58
Neural Network’s L1, L2 Regularization for Overfitting: Math Clearly Explained
16:39
Neural Network with **Three** Lines of Code
05:53
10 Personal Finance & Investment Tools that Use Data Science and Machine Learning
01:43
How YouTube Algorithm Uses Data Science
03:02
Future of Sports Analytics — NBA Data Science Revolution
12:14
3.6.6 DS: Purity Clustering Evaluation
05:32
Why Deep Generative Models Instead of Simpler Models: Distribution-based Explanation
04:37
As a Data Scientist, How to Become More Visible at Work
04:18
NEVER Use these Words in Meetings as a Data Scientist
03:21
PageRank: Question/Answer for Exam, Quiz, or Interview
03:12
Generative vs Discriminative AI Models
01:34
Inspect Module in Python to Read Python Source Code
02:21
PageRank: Exam/Interview Question/Answer