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Deep knowledge @UCN78GA1ZRA94UwpBpdzkOLA@youtube.com

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Welcome to Deep Knowledge โ€“ your go-to channel for mastering


02:39
Dataset Versioning Explained ๐Ÿš€ Reproducibility, DVC, Git LFS, Pachyderm & LakeFS
02:21
Data Augmentation Magic Multiply Your Dataset Without Collecting New Data
19:15
GitHub Branching Like a Pro! ๐ŸŒณ From Beginner to Expert in ONE Guide! ๐Ÿ’ปโœจ
02:40
Cross Validation Types Explained K Fold, Stratified & Time Series ML Interview Prep
03:11
Class Imbalance in Machine Learning Beat Biased Models! ๐Ÿ’ก Interview Prep
02:33
Random Forest vs Decision Tree Why Random Forest Reduces Overfitting
02:47
Random Forest vs Gradient Boosting Explained
04:43
AnomaVision vs Anomalib ๐Ÿ”ฅ Anomaly Detection Showdown on Google Colab GPU Benchmark โšก
03:02
Precision, Recall & F1 Score Explained ๐Ÿ”ฅ Master These Metrics for Interviews & ML Projects
03:10
High Dimensional Data Made Easy! ๐Ÿš€ ML Interview Guide
13:41
AnomaVision vs Anomalib ๐Ÿ” Best Anomaly Detection Framework MVTec & Visa Benchmark
06:53
TensorRT MAGIC! ๐Ÿš€ Boost PyTorch Inference 10x Faster
03:08
AUC ROC Explained for Interviews Boost Your ML Skills for Imbalanced Data
03:09
Recall vs Precision Explained for Interviews ๐Ÿ’ก Medical, Spam & Fraud Examples
14:54
๐Ÿš€ From 38 ms to 1.4 ms: How We Pushed AnomaVision Beyond 500 FPS โšก
16:49
Boost Your AI Models with INT8 Quantization ๐Ÿš€ ONNX Static vs Dynamic + Python & C++ Speed Test
02:30
Decision Trees Explained Gini vs Entropy for Interviews! ๐ŸŒณ๐Ÿ’ก
02:02
Logistic Regression Explained for Interviews Beginner
12:09
Anomavision From Code to PyPI ๐Ÿ“ฆ Build, Publish & Run Anomaly Detection
08:29
๐Ÿš€ Update: AnomaVision: Deploy ONNX + OpenCV in C++ (vs Python) โšก Real-Time Anomaly Detection
08:18
๐Ÿ”ฅ AnomaVision vs Anomalib ๐Ÿš€ | Edge-Ready Anomaly Detection (PaDiM) | Faster, Lighter & Sharper โšก
03:30
AnomaVision: Deploy AI Models in C++ with ONNX LIGHTNING FAST! โšก
32:08
AnomaVision Demystified From Training to Evaluation Complete Walkthrough
05:23
SVM Multi Class Classification EXPLAINED! Crack Data Science Interviews
06:23
NAIL Your ML Interview! Activation Functions ReLU, Sigmoid, Tanh Explained in 5 Minutes
04:51
๐Ÿ”ฅ Loss Functions vs Metrics ML Interview Questions That EVERYONE Gets Wrong! ๐Ÿ’ฏ
05:40
L1 vs L2 Regularization Interview Questions ๐Ÿง  Ace Your ML Interview with These Answers! โœจ
06:41
Overfitting vs Underfitting in Machine Learning ๐Ÿค– Most Asked Interview Question
14:10
Bias Variance Tradeoff Explained From Beginner to Pro ML Interview Guide
08:41
The #1 Mistake Beginners Make in Machine Learning TrainTest Splits Explained
11:55
ML & CV Interview Tips ๐Ÿค– How to Handle Tough Questions
15:36
Ace Your ML CV Interview Data to Deployment Mastery Beginner to Pro Guide
10:29
Feature Matching Techniques & Distance Metrics From Beginner to Pro! ๐Ÿ“Šโœจ
04:12
๐Ÿ’ป SIFT vs ORB in OpenCV Feature Detection & Matching Code Example ๐Ÿ”๐Ÿ“ธ
01:22
๐Ÿšจ Important Update for all Azure Machine Learning users
20:20
ORB Explained From Pixels to Features with Numerical Examples
16:22
SURF Algorithm ๐Ÿ„โ€โ™‚๏ธ Explained with Easy Numbers From Beginner to Pro
03:17
OpenCV SIFT Tutorial Feature Detection & Image Matching in 3 Minutes
21:26
SIFT Revealed The SECRET Algorithm Behind Every Photo You Take
15:34
Blob Detection explained : Laplacian of Gaussian Breakdown
09:05
Why Corners Matter In Computer Vision ๐Ÿ˜ฑ Harris + Shi Tomasi Step by Step Tutorial
04:24
Convolution How Filters Work Under the Hood
16:32
๐Ÿš€ Build World Anomaly Detection in 30 Seconds! AnomaVision No PhD Required ๐Ÿคฏ
05:51:16
๐Ÿ COMPLETE Python OOP The Only Guide You Need ๐Ÿš€ From Basics to Pro Level โœจ
06:56:00
๐Ÿ’ป Learn Python FAST ๐Ÿ Zero โžก Profi โ€” 7H Bootcamp for Beginners & Pros
07:22
Laplacian Edge Detection Explained โ€” From Calculus to Code ๐Ÿงฎ๐Ÿ“ธ Beginner to Pro
16:31
Youโ€™ll Finally Understand Canny Edge Detection! ๐Ÿง ๐Ÿ”ฅ Python + Visual Demo
13:17
Sobel Edge Detection Explained For Beginners & Pros! ๐Ÿง‘โ€๐Ÿ’ป๐Ÿ“ Image Processing with Gx & Gy Filters
13:06
๐Ÿš€ Pixel Power: Your Guide to Image Filtering & Kernels! ๐Ÿ’ก
12:32
Composition Over Inheritance in Python โ€” The Pro's Secret to Cleaner Code ๐Ÿ’ก๐Ÿ
03:21
๐Ÿคฏ Only 1% of Python Devs Use This: The Hidden Power of Metaclasses ๐Ÿ”
12:31
Why Every Python Developer NEEDS to Know Abstract Base Classes ๐Ÿ› ๏ธ๐Ÿ Beginner Friendly
09:30
Stop Writing Ugly Code! ๐Ÿ›‘ Master Polymorphism in Python ๐Ÿ (Clean & Powerful OOP)
17:47
Beyond Basics: Python Encapsulation & Property Decorators You NEED to Know!โ€ข
15:34
๐Ÿ”ฅ Class vs Static vs Instance Methods in Python ๐Ÿ Master OOP Like a Pro & Beginner! ๐Ÿš€
13:55
Python Data Classes Tutorial From Noob to Pro in 10 Minutes ๐Ÿš€๐Ÿ“ฆ With Tips & Hidden Tricks!
08:43:23
(HD) Zero to HERO in MLOps with Azure ML & AKS Full Industrial Grade FastAPI, Docker, ONNX, DevOps ๐Ÿ”ฅ
08:44:13
Zero to HERO in MLOps with Azure ML & AKS: Full Industrial-Grade (FastAPI, Docker, ONNX, DevOps) ๐Ÿ”ฅ
10:59
MLOps course Recap From Beginner to Pro โ€“ Your Complete AI Pipeline Journey ๐Ÿš€
03:32
Whatโ€™s Still Missing in MLOps