21:46

341 - Sholl Analysis using python coding

38:40

340 - Comparing Top Large Language Models for Python Code Generation

20:51

338 - Understanding the Benford's Law of Probability

31:38

339 - Surrogate Optimization explained using simple python code

14:35

322 - PSO Using steel optimization

09:43

321 - What is Particle Swarm Optimization PSO?

10:52

320 - Understanding Simulated Annealing​ using steel optimization

14:17

319 - What is Simulated Annealing Optimization​?

13:39

318 - Introduction to Metaheuristic Algorithms​

14:26

317 - HyperParameter Optimization using Genetic algorithms

16:29

316 - Optimizing Steel Strength using Metaheuristic algorithms (e.g., Genetic)

23:36

315 - Optimization using Genetic Algorithm

20:19

314 - How to code the genetic algorithm in python?

18:08

313 - Using genetic algorithms to simulate ​evolution

28:24

Why GPUs Outpace CPUs?

13:07

312 - What are genetic algorithms?

28:15

306 - Content based image retrieval​ via feature extraction in python

50:09

Generative AI and Prompt Engineering for Marketers

43:17

Exploring Metadata in Scientific Images

29:31

337 - Whole Slide Image segmentation for nuclei​ using Detectron2 and YOLOv8

57:08

336 - Nuclei segmentation and analysis using Detectron2 & YOLOv8​

35:27

334 - Training custom instance segmentation model using YOLO v8

18:44

333 - An introduction to YOLO v8​

13:05

Extracting a Targeted Subset from a COCO JSON annotated dataset

28:39

335 - Converting COCO JSON annotations to labeled mask images

06:59

Simplifying code with defaultdict in python

26:36

332 - All about image annotations​

45:51

A Holistic View of Software Languages, Databases, and Frameworks

44:07

331 - Fine-tune Segment Anything Model (SAM) using custom data

50:22

330 - Fine tuning Detectron2 for instance segmentation using custom data

23:55

329 - What is Detectron2? An introduction.

30:04

305 - What is Cellpose algorithm for segmentation?

49:49

328 - smFISH Analysis using Big FISH library in python​

12:26

327 - An introduction to Single Molecule Fluorescence In Situ Hybridization (smFISH​)

20:44

304 - Augmentation of histology images​ to train stain-agnostic deep learning models

14:56

Interpolation for resizing 3D volumetric data (Tips and Tricks 50)

12:10

303 - Reinhard color transformation​

43:24

326 - Cell type annotation for single cell RNA seq data​

01:09:30

325: Transcriptomics Unveiled – An In-Depth Exploration of Single Cell RNASeq Analysis using python

17:23

324 - Chat-based data analysis​ using openAI and pandasAI

43:13

323 - How to train a chatbot on your own documents?

14:51

311 - Fine tuning GPT2 using custom documents​

32:16

310 - Understanding sub word tokenization used for NLP

22:48

309 - Training your own Chatbot using GPT​

26:36

308 - An introduction to language models with focus on GPT

18:45

302 - Tuning deep learning hyperparameters​ using GridSearchCV

16:53

307 - Segment your images in python without training using Segment Anything Model (SAM)

33:32

301 - Evaluating keras model using KFold cross validation​

18:49

300 - Picking the best model and corresponding hyperparameters using Gridsearch

27:44

299 - Evaluating sklearn model using KFold cross validation​ in python

18:41

Feature engineering vs Feature Learning (tips tricks 46 )

19:10

298 - What is k fold cross validation?

00:18

Camouflage simulation using the Genetic Algorithm

18:51

297 - Converting keras trained model to ONNX format​ - Semantic Segmentation

21:04

296 - Converting keras trained model to ONNX format - Image Classification example

14:25

295 - ONNX – open format for machine learning models​

14:09

White balancing your pictures using python

22:23

294 - Denoising 3D multi-channel scientific images using Noise2Void deep learning approach

24:02

293 - Denoising RGB images using deep learning (Noise2Void)

16:56

292 - Denoising images using deep learning (Noise2Void)​