Channel Avatar

MachineLearningInterview @UCC6S9DRZEEl_J0_U6lbxn0A@youtube.com

3.2K subscribers - no pronouns :c

Preparing for a Machine Learning / Data Sciece Interview ? M

Videos Playlists
Recently Uploaded Popular Oldest
05:03
Batch Gradient Descent vs Mini-Batch Gradient Descent vs Stochastic Gradient Descent
05:51
What is Layer Normalization ?
05:08
Batch Normalization in Deep Neural Networks
04:18
Normalization in Deep Neural Network
04:26
What is the Median Absolute Deviation (MAD)?
04:34
Some Risks of Building with LLMs and Generative AI
08:17
Gower Distance for Mixed Data
04:18
Understanding Mixed Data
04:33
SMOTE for Handling Imbalanced Datasets
07:39
Inverse Propensity Weighing (IPW)
08:28
What is Rejection Sampling?
05:18
Correlation vs Causation
06:11
Techniques for Anomaly Detection
05:59
Z-Score for Outlier Detection
07:57
METEOR : A metric for Machine Translation
08:00
BLEU Score for evaluating text generation NLP tasks
07:35
Machine Translation: An Overview
06:10
Interpretable AI: Global vs Local Interpretability
05:24
Global Surrogate Model for Interpretable AI
07:12
Complement Naive Bayes Classifier
06:33
Do we need Optimization for Machine Learning?
04:01
Why learn Linear Algebra for Machine Learning
05:07
Voting, Averaging & Stacking Multiple ML Models: Ensemble Learning
08:19
Why do we need Probability and Statistics to build Machine Learning Models?
05:52
Fairness in Machine Learning : Metrics based on Confusion Matrix
05:44
How to Optimize Pandas Code?
03:27
Should I Transition to a Data Science Career ?
05:30
Learning Math For ML
10:20
The Page Rank Algorithm
06:48
Monty Hall Problem - Probability and Statistics
07:26
Covariance and Correlation
07:49
How to find Optimal K with K-means Clustering ? The Elbow and Silhouette methods
08:10
Debiasing word embeddings in NLP Applications
03:15
PrepTool Pro to crack Machine LearninIg Interviews
14:14
Locality Sensitive Hashing For efficient Nearest Neighbour Search
09:05
Machine Learning Product Development LifeCycle
06:10
Elastic Net Regularization For Regression
09:35
Anomaly detection with Isolation Forests
03:21
Top Three Deep Learning Myths
06:05
One-Class SVM for Outlier Detection
03:08
What is AUC ?
09:33
Can we compute AUC Metric for an SVM classifier ?
03:27
What are the popular activation functions used in a neural network? Deep Learning DID Series: part 3
01:33
When does it make sense to use deep learning ? : Deep Learning DID Series - part 1
02:26
PrepTool Basic to revise concepts on MachineLearningInterview.com
03:28
Explain Logistic Regression ? : Data Science Interviews Decoded
03:16
How do you predict with Logistic Regression ? : Data Science Interviews Decoded
04:57
What are the various kinds of Data Science Roles ?
04:32
What are the various rounds in an interview for a Data Scientist Position ?
03:07
Are algorithms and data structures important for Data Scientist Interview ?
04:52
What does the typical day of a data scientist look like ?
02:33
Explain How linear regression works ? (3 minutes)
12:51
How to answer : Explain Linear Regression ?
53:05
NLP Tutorial : Automatic Question Answering From FAQs