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deep learning
Folder: categories/deep-learning
8 items under this folder.
29 Sept 2025
Convolutional Neural Networks
deep_learning
29 Sept 2025
Deep Learning
deep_learning
29 Sept 2025
How is reinforcement learning being combined with deep learning
deep_learning
29 Sept 2025
LSTM
deep_learning
time_series
29 Sept 2025
Multi-Agent Reinforcement Learning
agents
deep_learning
29 Sept 2025
Policy
29 Sept 2025
Relu
deep_learning
29 Sept 2025
Sarsa
deep_learning
Explorer
categories
computer-science
Algorithms
Big O Notation
BM25 (Best Match 25)
Checksum
Computer Science
Concurrency
Convex Optimisation
csv module
Directed Acyclic Graph (DAG)
Flask
garbage collector
Generators in Python
Hash
Heap Data Structure
Heap Memory
How to search within a graph
Immutable vs mutable
Java
Java vs JavaScript
JavaScript
Knowledge Graph
Langchain
Machine Learning Algorithms
Monte Carlo Simulation
Multiprocessing vs Multithreading
Multithreading
neomodel
Node.JS
Numpy
Processes vs Threads
programming languages
PyGraphviz
QuickSort
Ranking models
Recursive Algorithm
Strongly vs Weakly typed language
Times Series Python Packages
data-analysis
Altair
altair versus seaborn
Binder
Boxplot
Dash
Dashboarding
Dashboards
Data Analysis
Data Analysis Portal
Data Analyst
Data Distribution
Data Mining
Data Product
Data Reduction
Data Visualisation
DuckDB
EDA
ER Diagrams
Heatmap
Label encoding
Linear Discriminant Analysis
Log transformation
Looker Studio
MariaDB vs MySQL
Melt
Multiple Correspondence Analysis
Multivariate Analysis
OLAP
Page Rank
Parquet
Plotly
PowerBI
Preprocessing
Preprocessing Text Classification
Seaborn
SQL Window functions
t-SNE
Tableau
data-engineering
ACID Transaction
Ada boosting
Adding a database to PostgreSQL
Aggregation
Apache Iceberg
Attack mitigation
Attack types
AWS Lambda
Azure
Bagging
Benefits of Data Transformation
Big Data
BigQuery
Cassandra
Cloud Providers
Coaching & Mentoring
Columnar Storage
Command Prompt
Common Table Expression
Components of the database
Covering Index
Crosstab
CRUD
CUDA
Curse of dimensionality
Cypher
Data Architect
Data Architecture
Data Cleansing
Data Contract
Data Deployment
Data Dictionary
Data Drift
Data Engineering
Data Engineering Portal
Data Engineering Tools
Data Evaluation
Data Hierarchy of Needs
Data Integration
Data Integrity
Data Lake
Data Lakehouse
Data Leakage
Data Lifecycle Management
data lineage
Data Management
Data Modeling
Data Observability
Data Principles
Data Quality
Data Security
Data Selection
Data Sources
Data Storage
Data Transformation
Data Transformation in Data Engineering
Data Transformation with Pandas
Data Validation
Data Virtualization
Data Warehouse
Database
Database Index
Database Management System (DBMS)
Database Schema
Database Storage
Database Techniques
Databricks 1
DataOps
dbt 1
design pattern
Digital twin
Distributed Computing
DuckDB in python
DuckDB vs SQLite
Durability
ELT
Estimator
ETL
ETL 1
ETL Pipeline Example
ETL vs ELT
EtLT
Event Driven Microservices
Event-Driven Architecture
Fabric
Faker
File Management
Folder Tree Diagram
Foreign Key
Github Actions
Google Sheet Pivots Table
Grain
Graph Query Language
Groupby
Groupby vs Crosstab
heterogeneous features
Honkit
Hosting
How is schema evolution done in practice with SQL
How to normalise a merged table
Implementing Database Schema
Imputation Techniques
in-memory format
incremental synchronization
Indexing in cypher
Input is Not Properly Sanitized
Joining Datasets
Junction Tables
KNIME
Logical Model
Many-to-Many Relationships
map reduce
MariaDB
master data management
Merge
Microsoft Access
Missing Data
Model Deployment
Monolith Architecture
Multi-level index
Multiprocessing
MySql
neo4j
Normalised Schema
NoSQL
Object Relational Mapper
OLTP
Overfitting
Pandas
Pandas join vs merge
Pandas Pivot Table
Pandas Stack
pd.Grouper
pgAdmin
Pgadmin Permissions on Windows
Physical Model
Pickle
Poetry
Polars
PostgreSQL
Postman
PowerShell
Prevention Is Better Than The Cure
Primary Key
Push-Down
Pydantic
Pyright vs Pydantic
Query Optimisation
Querying
Querying Time Series
Race Conditions
Relating Tables Together
Relational Database
reverse etl
rollup
Row parameters in SQL
Row-based Storage
Scalability
Scaling Server
Schema Evolution
Search
Security mitigation
Security Researcher
semantic layer
Single Source of Truth
Sklearn Pipiline
Slowly Changing Dimension
SMSS
Snowflake Schema
Soft Deletion
Software Design Patterns
Spreadsheets vs Databases
SQL
SQL Groupby
SQL Injection
SQL Joins
SQLAlchemy
SQLAlchemy vs. sqlite3
SQLite
SQLite Studio
Star Schema
storage layer object store
Stored Procedures
structured data
Structuring and organizing data
Transaction
Turning a flat file into a database
Types of Database Schema
Unix
unstructured data
Usability
Vacuum
Vector Database
Vectorized Engine
View Use Case
Views
Windows Subsystem for Linux
data-science
ACF Plots
Additive vs Multiplicative Models Time Series
ADF Test
Agent Exploration
Agentic Solutions
AI
ARIMA
ARIMA vs Random Forest in Time Series
Autocorrelation
Autocorrelation vs Autoregression
Autoregression
Baseline Forecast
Basics of Time Series
Batch gradient descent
Bellman Equations
Bias-Variance Trade Off
Capability
Choosing a Threshold
Choosing the Number of Clusters
Clustermap
Covariance Structures
Cross Validation
Data Assessment
Data Collection
Data Mining - CRISP
Data Preparation
Data Science
Data Scientist
Data Understanding
Datasets
Decomposition in Time Series
Differencing in Time Series
DS & ML Portal
Evaluating Time Series Forecasts
Evolving Seasonality
F-statistic
Feature Engineering
Feature Scaling
Feature Selection vs Feature Importance
Forecasting using Lags
Forward Propagation
Gaussian Mixture Models
Gitlab
Gompertz Model
Good Enough Principle in Data Projects
GraphRAG
Handling Missing Data
Holt-Winters (Exponential Smoothing)
Holt-Winters vs ARIMA
Holt’s Linear Trend Model (Double Exponential Smoothing)
how do you do the data selection
Imbalanced Datasets
Interpolation
Intervention Analysis
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Kernel Machines
KPSS Test
Latency
Logistic Model Curve
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Mean Absolute Percentage Error
MNIST
Normalisation
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PACF Plots
Performance Dimensions
pmdarima
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Scatter Plots
Scientific Method
Scipy
Seasonal Naive Forecast
Seasonality in Time Series
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sklearn datasets
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Why JSON is Better than Pickle for Untrusted Data
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objective function
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Time Series Python Packages
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Transformers vs RNNs
Type I Error (False Positive)
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Types of Neural Networks
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UMAP
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Use Cases for a Simple Neural Network Like
vanishing and exploding gradients problem
Variability in linear models
Variance in ML
Vector Embedding
WCSS and elbow method
Weak Learners
When and why not to us regularisation
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
Wrapper Methods
Xaiver
XGBoost
natural-language
AI Agents Memory
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BERTScore
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embeddings for OOV words
Evaluate Embedding Methods
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Generative AI From Theory to Practice
Grammar method
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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
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
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
Feature_Distribution.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
Heatmaps_Dendrograms.py
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
Pycaret_Anomaly.ipynb
Pycaret_Example.py
Pydantic_More.py
Pydantic.py
Regression_Logistic_Metrics.ipynb
Regularisation.py
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
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