Articles by tag: machine-learning

What Is Artificial Intelligence and How Does It Work?

Learn what artificial intelligence is and how it works in this complete primer. Understand AI basics, machine learning, and practical applications. Start your AI journey today.

AI vs Machine Learning: What's the Real Difference?

What is the difference between AI and machine learning? Learn how these technologies compare, when to use each, and which drives modern innovation. Read now.

How Does Artificial Intelligence Work in Simple Terms? Explained

Learn how does artificial intelligence work in simple terms. Discover how neural networks learn patterns and why AI is pattern-matching, not thinking. Read now.

Quantum-classical hybrid: turbulence prediction accuracy +20%

UCL scientists combined a quantum computer and AI to predict chaotic systems. Accuracy increased by 20%, memory requirements reduced by 100 times. Learn how the method works.

Grok 4.3: xAI's price war and Musk's hidden goal

Analysis of Grok 4.3: why the new xAI model is 10 times cheaper than competitors and how it relates to the company's crisis. Find out who benefits from Musk's dumping.

GPT-5.5 by OpenAI: Autonomy and Efficiency

GPT-5.5 breakdown: improved autonomy, coding, pricing, and OpenAI's strategy. Learn how the new model changes the game for businesses and developers.

Decentralized AI on Blockchain: Technical Analysis

Breaking Down the Architecture, Limitations, and Prospects of AI-Blockchain Projects. Is Decentralized AI Suitable for Production?

Synthetic Data in Python: Tools and Examples

How to Generate Synthetic Data in Python for ML, Testing, and Anonymization. Overview of Faker, Scikit-learn, SDV, GAN with Code.

Kaggle Benchmarks: how to test AI cognitive abilities

Learn how Kaggle Benchmarks changes the game: create your own tests for AI, measure attention, planning, and social intelligence. Start for free.

SEO Will Survive: Real GEO and Latent AI Space

Learn why SEO won't die, and what real GEO is. We form the brand as a structure in the latent space of neural networks. Practical patterns for developers.

Machine Learning Courses: Technical Overview of 2026 Programs

Comparison of ML Courses at Eduson Academy: PRO vs Basic, Data Scientist, generative AI. Practical projects, technology stack, recommendations for developers.

Kaggle Lessons: How to Reach the Top 12% with 158 Attempts | ML

How to Overcome Defeat in a Kaggle Competition and Enter the Top 12%? I Share Three Lessons on Working with Multiple Models, Blending, and Hyperparameters. Learn How Extensive Experience Shapes an Expert.

NER for resumes: Guide to implementation in HR systems | IT Practice

Step-by-step guide to implementing Named Entity Recognition for resume processing. Technical details of data labeling, model selection, and production deployment.

AI Detectors in 2026: Real Accuracy and Vulnerabilities | ICLR Analysis

ICLR 2026 Rejections Analysis: Why AI Detectors Show 65-88% Accuracy Against Claimed 99%. How to Bypass Systems in 30 Seconds and Systemic Error Against Non-Native English Speakers.

Mathematics for Data Science: courses 2026 | Professional growth

Why has mathematics become mandatory for Data Scientist in 2026? Overview of current courses and skill verification strategy. Choose a program for salary growth!

LLM training in C# with OpenCL: practical guide

Step-by-step guide to training language models in C# using OpenCL instead of CUDA. Creation, training, and export of compact LLMs.

Data Scientist from Scratch: Free Program

Master Data Science for free in 8–10 months. Complete roadmap: from CS basics to TensorFlow and AirFlow. Start learning and look for junior vacancies today.

ML in trading: why it doesn't predict prices

Learn why neural networks don't forecast the stock market, but solve tasks of signal filtering and order execution. Practical tips on ML for algo traders. Avoid errors in data and tests.

Multiple Regression in Python: scikit-learn

Study multiple linear regression on the Advertising dataset. Coefficients, RMSE/R² metrics, residual diagnostics. Code and interpretation for middle developers.

ML Courses 2026: top for junior

Choose a machine learning course to start in IT. Comparison of 6 programs: prices, durations, Python/PyTorch skills, MLOps. Salaries from 130k rub. Start learning and enter the profession.

Embeddings and text clustering: how a computer understands meaning

Find out how GloVe embeddings and the K-Means algorithm allow computers to categorize texts with 99% accuracy. Practical guide for developers.

AI Agents in Development: How Andrey Karpathy Stopped Writing Code

Andrey Karpathy explains how autonomous agents are changing development, the labor market, and the future of AI. Learn about the paradigm shift and new opportunities.

Creating a neural network with ChatGPT: practical experience and mistakes

Analysis of a real experiment on generating neural network code through AI. Learn what mistakes ChatGPT makes and how to fix them. For Python developers.

Testing ML Systems: Challenges, Methods, and Best Practices for QA

Learn how to test machine learning: from metrics analysis to regression. Practical tips for QA specialists and developers.

AI-agent for technical specification verification: development, architecture, practice

Practical experience creating an AI-agent for auditing technical specifications. Learn about data collection, error classification, and hybrid RAG + decision trees architecture.