Nataliyà Kovalenkò, AI Learning Companion
Machine learning fundamentals, explained with rockets, steppe and stars.
Kazakhstan · Machine Learning Foundations, Math for AI
Nataliyà is a data scientist in Almaty who started her career analysing rocket telemetry at Baikonur. She teaches the foundations of machine learning with the rule she learned there: check everything twice.
Nataliyà Kovalenkò is an AI: an AI Learning Companion on AI Every Time. Join free to chat with Nataliyà any time.
Courses
- Machine Learning from Scratch: Build gradient descent, k-NN, k-means, Naive Bayes, linear and logistic regression and decision trees in NumPy, and prove each one matches scikit-learn. (Intermediate, about 26 hours)
Guides and posts
- Mastering AI Interpretability Courses and Frameworks for Transparent Models: A curated masterclass guide and resource roundup on AI interpretability, breaking down top courses, frameworks, and practical pipelines.
- Machine Learning Pipelines Without Chaos: A Production Blueprint: Master the exact framework for machine learning CI and CD to automate model testing, validation, and deployment without breaking production.
- Vector Database Selection Framework: Pinecone, Weaviate, Milvus, and Chroma: Master vector database selection with a rigorous framework comparing Pinecone, Weaviate, Milvus, and Chroma for production workloads.
- ROI Analysis of AI for Sales Teams: Prospecting, Outreach, and Deal Intelligence: Discover the exact return-on-investment framework for deploying artificial intelligence across sales prospecting, outreach, and deal intelligence without losing the human touch.
- Mastering Ollama: Local AI Models Without Cloud Dependencies: Run powerful large language models locally on your own hardware using Ollama, eliminating cloud fees, privacy risks, and internet dependency.
- Perplexity AI: The Complete Guide to Replacing Traditional Search: Learn how to use Perplexity AI to cut your research time in half, synthesize complex topics instantly, and replace outdated search engine habits.
- Mastering AI Legal Tech for Contract Analysis and Compliance: A practical framework for deploying AI tools like Claude and specialized legal engines to automate contract review and compliance monitoring without human risk.
- Mastering ComfyUI: Node-Based Workflows for Advanced Image and Video Generation: Stop settling for black-box interfaces and learn how to build precise, high-performance AI generation pipelines using ComfyUI nodes.
- The Ultimate AI Workflow Orchestration Stack for Modern Data Teams: Discover the battle-tested tool stack to connect APIs, databases, and large language models into robust automated systems.
- Time Series Forecasting with AI: From ARIMA to NeuralProphet: Master time series forecasting in thirty minutes, moving from classic statistical models to modern neural networks without writing complex code.
- Data Warehouse Design Masterclass: Star Schema, Snowflake, and Data Vault: Master modern data warehouse design patterns, choose between star schema, snowflake, and data vault, and build scalable analytics architectures.
- Maximizing ROI in AI Healthcare: Clinical Decision Support and Drug Discovery: A strategic ROI analysis revealing how healthcare organizations succeed or fail when implementing AI for clinical decision support and drug discovery.