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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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The 9 Most In-Demand Skills in the Data Industry

Discover the most in-demand data skills and why employers are seeking skilled individuals. Plus. find out how you can improve your data knowledge in key areas.
Summer Worsley's photo

Summer Worsley

29 июня 2022 г.

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's photo

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's photo

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.
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Bexruz (Bex) 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.
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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.
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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.
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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
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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.
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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.
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Elena Kosourova

23 марта 2022 г.