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Data Science & AI Code-Alongs

From data visualization to AI, code-along with experts as they solve real-world problems. Work your way through an entire project with the help of a screencast, so you never get stuck.
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Рекомендуемые

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Преподавание ведут преподаватели из следующих учебных заведений:

Создание систем искусственного интеллекта с использованием OpenAI и LangChain.

Освойте API OpenAI и пакеты LangChain и попутно создавайте прототипы ИИ.

Richie Cotton
Введение в большие языковые модели с использованием GPT и LangChain

Richie Cotton

Olivier Mertens
Быстрое проектирование с использованием GPT и LangChain

Olivier Mertens

Korey Stegared-Pace
Создание многомодальных приложений искусственного интеллекта с использованием LangChain и API OpenAI.

Korey Stegared-Pace

Разработка приложений искусственного интеллекта с использованием GPT и Pinecone.

Объедините возможности векторных баз данных Pinecone и API OpenAI, чтобы создавать чат-боты с долговременной памятью.

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Все мастер-классы по программированию

Full Stack Data Engineering with Python

In this session, you'll see a full data workflow using some LIGO gravitational wave data (no physics knowledge required). You'll see how to work with HDF5 files, clean and analyze time series data, and visualize the results.
Blenda Guedes's photo

Blenda Guedes

17 апреля 2024 г.

Deep Learning on Rails with PyTorch Lightning

In this session, you'll learn how to create a simple deep learning model using PyTorch Lightning. You'll work through the steps of defining and training the model, making predictions, and evaluating model performance.
Luca Antiga's photo

Luca Antiga

9 апреля 2024 г.

Analyzing Customer Churn in Power BI

Delve into analyzing customer churn in the telecommunications sector and learn to employ Power BI tools to create interactive dashboards that provide essential insights.
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Iason Prassides

15 марта 2024 г.

Using GPT on Azure

Find out how you can spin up a pay-as-you-go instance of OpenAI, and you’ll build a few simple applications that show the power of LLMs and GenAI against your data.
Dave Wentzel's photo

Dave Wentzel

12 марта 2024 г.

Managing Machine Learning Models with MLflow

Learn to use MLflow to track and package a machine learning model, and see the process for getting models into production.
Weston Bassler's photo

Weston Bassler

6 марта 2024 г.

Analyzing Google Sheets Data in Python

In this session you'll learn how to use DataLab to seamlessly access Google Sheets data and analyze the data with Python. Practice with exploratory data analysis tasks like crunching numbers and drawing visualizations for Google Analytics data.
Filip Schouwenaars's photo

Filip Schouwenaars

27 февраля 2024 г.

Pair Programming with GitHub Copilot

In this session, Nuno, DataCamp's Director of Engineering, demonstrates how to make use of GitHub Copilot. You'll see how to perform a simple data analysis in conjunction with AI, and learn how to make the most of Copilot's features.
Nuno Rocha's photo

Nuno Rocha

20 февраля 2024 г.

Getting Started with Data Pipelines for ETL

In this session, you'll learn fundamental concepts of data pipelines, like what they are and when to use them, then you'll get hands-on experience building a simple pipeline using Python.
Jake Roach's photo

Jake Roach

6 февраля 2024 г.

Building Multi-Modal Search with Weaviate

In this session, you'll learn how to use the Weaviate vector database to store these different content types, then perform search queries on them.
JP Hwang's photo

JP Hwang

31 января 2024 г.

Get Started Analyzing Survey Data with SQL & Python

In this introductory session, you'll explore a survey on business innovation. The focus will be on principles of analyzing survey data, and you'll write some simple SQL for calculations and simple Python for data visualizations.
Richie Cotton's photo

Richie Cotton

24 января 2024 г.