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Узнайте о лучших практиках и подходах в области ИИ и машинного обучения, чтобы ускорить преобразование данных, развивать навыки и формировать культуру работы с данными. Откройте, как применять ML в своей работе.
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How Smooth Are Your Data Team's Operations? Discover Your Organization's MLOps Maturity Level
This article provides a primer on MLOps maturity models for data teams to follow and consider when evolving their machine learning capabilities.
Adel Nehme
17 июня 2022 г.
What Is Machine Learning? Definition, Types, Tools & More
A comprehensive guide to machine learning: understand its definition, types (supervised, unsupervised, reinforcement), tools, applications, and career opportunities.
Matt Crabtree
21 мая 2026 г.
10 Python Packages to Add to Your Data Science Stack in 2022
Looking to expand your data science stack in 2022? This guide highlights 10 of the fastest-growing Python packages that solve various problems you might encounter.
Bekhruz Tuychiev
25 мая 2022 г.
How to Become a Machine Learning Engineer in 2026
Learn how to become a machine learning engineer and discover why it is one of the most lucrative and dynamic career paths in the data world.
Kurtis Pykes
24 июля 2024 г.
Top articles you may have missed last month
This article covers major news and updates from the field of data science and machine learning that happened last month. Spanning different topics such as tutorials, research, new packages, use cases, and more.
Anuj Syal
29 апреля 2022 г.
10 Awesome Resources for Learning MLOps
MLOps combines tools, practices, techniques, & culture that ensure the reliable and scalable deployment of machine learning models. Start your learning journey with these awesome free resources.
Ani Madurkar
30 марта 2022 г.
MLOps Best Practices and How to Apply Them
Learn the key best practices of a successful MLOps practice and how it ensures reliable and scalable deployment of machine learning systems
Adel Nehme
30 марта 2022 г.
Getting Started with MLOps
Learn about the rise of MLOps and how to get started with a comprehensive set of resources
Hajar Khizou
30 марта 2022 г.
Data Science in Marketing: Customer Churn Rate Prediction
Learn how to use Python machine learning models to predict customer churn rates, turning marketing data into meaningful insights.
Elena Kosourova
28 марта 2022 г.
Data Science in Sales: Customer Sentiment Analysis
Learn how data science can be used to analyze customer emotions and deliver valuable insights for sales optimization.
Elena Kosourova
23 марта 2022 г.
Data Science in Banking: Fraud Detection
Learn how data science is implemented in the banking sector by exploring one of the most common use cases: fraud detection.
Elena Kosourova
21 марта 2022 г.
The Past, Present, and Future of MLOps
MLOps is not just for data experts but for everyone from data teams to SMEs and to IT. Here's the rundown on why MLOps is important, what problems it aims to solve, and how in this jargon-free blog post.
Kevin Babitz
30 июля 2021 г.