Скачать или смотреть Top Machine Learning Algorithms, A Practitioner’s Mental Map

Machine Learning isn’t about memorizing algorithms. It’s about knowing when to use what.

This visual perfectly breaks ML into actionable categories 👇

🔵 Supervised Learning
Linear Regression • Logistic Regression • Decision Trees • Random Forest
SVM • Gradient Boosting (XGBoost)

🟢 Unsupervised Learning
K-Means • Hierarchical Clustering • PCA • Anomaly Detection

🟠 Reinforcement Learning
Q-Learning • SARSA • Deep Q-Networks (DQN) • Policy Gradients

🔴 Deep Learning
ANN • CNN • RNN / LSTM • Transformers

⚙️ What really matters (often ignored):
• Data preprocessing
• Model evaluation
• Algorithm selection
• Deployment & MLOps

💡 Key takeaway:
There’s no “best” algorithm only the right algorithm for the problem, data, and constraints.

If you’re learning ML, revising concepts, or preparing for interviews save this.


#datascientist #machinelearning #deeplearning #nlp #genaiengineer