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Why does increasing the number of models in a ensemble not necessarily improve the accuracy
Why does the Adam Optimizer converge
Why Removing Outliers May Improve Regression but Harm Classification
Why standardise features
Why Type 1 and Type 2 matter
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Xaiver
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natural-language
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embeddings for OOV words
Evaluate Embedding Methods
Fuzzywuzzy
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Generative AI From Theory to Practice
Grammar method
Guardrails
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How to reduce the need for Gen AI responses
How would you decide between using TF-IDF and Word2Vec for text vectorization
In NER how would you handle ambiguous entities
Key Components of Attention and Formula
Knowledge graph vs RAG setup
Language Model Output Optimisation
Language Models
Language Models Large (LLMs) vs Small (SLMs)
lemmatization
LLM
LLM Memory
Local LLM use cases
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Mixture of Experts
Model Cascading
Multi-head attention
Named Entity Recognition
NER Implementation
Ngrams
NLP
NLP Portal
nltk
Non-negative Matrix Factorization
NotebookLM
OOV words
Pandas Dataframe Agent
Part of speech tagging
Prompt Engineering
prompt retrievers
Prompts
Pyright
RAG
Scaling Agentic Systems
Self attention vs multi-head attention
Self-Attention
Semantic Relationships
Semantic search
Sentence Similarity
Sentence Transformer Workflow
Similarity Search
Small Language Models
spaCy
Stemming
stopwords
Summarisation
syntactic relationships
Text2Cypher
TF-IDF
TF-IDF Implementation
Tokenisation
topic modeling
Vectorisation
Why is named entity recognition (NER) a challenging task
Word2vec
WordNet
OTHER
Addressing_Multicollinearity.py
algebraic chess notation
Bag_of_Words.py
Bandit example output
Bandit_Example_Fixed.py
Click_Implementation.py
Comparing_Ensembles.py
Cross_Entropy_Single.py
Cross_Entropy.py
Debugging.py
Distribution_Analysis.py
Factor_Analysis.py
FastAPI_Example.py
Forecasting_AutoArima.py
Forecasting_Baseline.py
Forecasting_Exponential_Smoothing.py
Gaussian_Mixture_Model_Implementation.py
Handling_Missing_Data_Basic.ipynb
Handling_Missing_Data.ipynb
Imbalanced_Datasets_SMOTE.py
K_Means.py
Momentum.py
One_hot_encoding.py
Pandas_Common.py
Pandas_Stack.py
PCA_Analysis.ipynb
PCA_Based_Anomaly_Detection.py
PGN
Pycaret_Anomaly.ipynb
Pycaret_Example.py
Pydantic_More.py
Pydantic.py
Regression_Logistic_Metrics.ipynb
ROC_Curve.py
SVM_Example.py
Testing_Pytest.py
Testing_unittest.py
transfer_learning.py
TS_Anomaly_Detection.py
Vector_Embedding.py
Wikipedia_API.py
Word2Vec.py
PAPER
Attention Is All You Need
BERT Pretraining of Deep Bidirectional Transformers for Language Understanding
project-management
1-on-1 Template
1-to-1's with a Line Manager
Asking questions
Change Management
Communication principles
Communication Techniques
Communication with Stakeholders
Conceptual Model
Documentation
Education and Training
Experiment Plan Template
Feedback Template
Fishbone diagram
How to do git commit messages properly
html
Innovation
Jobs to be done
Jupyter Book
Managing Data Science Teams
Modern data team
nbconvert slideshows
One Pager Template
pdoc
Problem Definition
Process for prototyping
project management
Project Management Portal
Pull Request Template
RACI
Remaining useful life models
Return of Experience Form
Reveal.js
Technical Debt
UML
Why use ER diagrams
statistics
Addressing Multicollinearity
ANOVA
Assumption of Normality
Bernoulli
Bootstrap Sampling
Casual Inference
Central Limit Theorem
Central Limit Theorem & Small Sample Sizes
Chi-Squared Test
Confidence Interval
Correlation
Correlation vs Causation
Cosine Similarity
Covariance
Covariance vs Correlation
Cryptography
Differentation
Distributions
dta
EM Algorithm
Factor Analysis
Gaussian Distribution
Graph Theory
Grouped plots
Handling Different Distributions
Hypothesis testing
information theory
Interquartile Range (IQR) Detection
Johnson–Lindenstrauss lemma
Markov chain
Mathematics
Mean Absolute Error
Mean Squared Error
mean vs median
Multicollinearity
non-parametric
Odds
Odds vs Probability
p values
Parametric tests
parametric vs non-parametric models
parametric vs non-parametric tests
parsimonious
Prediction Intervals
Probability
Proportion Test
Q-Q Plot
R
R squared
R-squared metric not always a good indicator of model performance in regression
Reasoning tokens
Resampling
Root Mean Squared Error
Spearman vs Pearson Correlation
Standard deviation
Standardisation
Statistical Assumptions
Statistical Tests
Statistical theorems
Statistics
statsmodels
Stochastic Gradient Descent
Symbolic computation
Sympy
T-test
univariate vs multivariate
Variance
Violin plot
Z-Normalisation
Z-Score
Z-Scores vs Prediction Intervals
Z-Test
uncategorised
appscript
Streamlit
Streamlit vs Dash
textual user interface
Trigger
pages
Data Archive
DE_Tools
ML_Tools
Quotes
Research Questions
Reviews
textual user interface
Instead of GUI. More
AI
friendly.