English
English
Thanks for coming to this page! This tutorial is designed for beginners to help you get started with Deepseek quickly and gain insight into its powerful capabilities and core principles in the field of AI Generation Search and Data Mining (AIGS) .
Target readers of this tutorial include:
Data Analyst & Researcher : Hope to use AI to improve data mining, information retrieval and intelligent analysis capabilities.
Developer : Want to explore the Deepseek API and integrate it into your own data analytics or search projects.
AI researcher : I already have a certain AI foundation and want to learn in-depth about the application of Deepseek in intelligent search and data mining.
Note: If you just want to try out the AI search function simply without delving into the powerful capabilities of Deepseek, it may be more suitable for using ordinary search tools or AI assistants.
This tutorial is divided into four main modules, and it is recommended to learn in order:
Introduce the basic concepts, core capabilities and application scenarios of Deepseek , including:
What is Deepseek? It's different from traditional search engines and AI search technology.
Core functions : intelligent search, data mining, information extraction, data visualization, etc.
Which industries are applicable? How to solve the problems of massive data, information retrieval and knowledge extraction.
Learn the basic usage of Deepseek and understand its core technical principles:
How to write a search query efficiently? Optimize search results using natural language or structured queries.
Data source settings and management : How to configure Deepseek to use different data sources (databases, APIs, web pages, etc.).
How to adjust parameters (such as search range, number of results, and correlation) to improve search results.
After completing this part, you will be able to use Deepseek for basic data search and information extraction , and master the methods to optimize search results.
If you want to improve Deepseek's search accuracy and intelligent analysis capabilities, this section will explore in depth:
How to improve the accuracy of search results : Use advanced query parameters and natural language processing (NLP) technology.
Data mining and information extraction : How to automatically identify and extract key data points to improve data analysis efficiency.
How to integrate intelligent search and data mining functions in applications or projects with the Deepseek API .
In this section, we will learn how to combine Deepseek's multiple capabilities to achieve more complex data analysis and intelligent search scenarios, including:
Cross-platform intelligent search : combine multiple data sources to realize global search and analysis.
Advanced Data Analytics : Trend analysis and prediction of large-scale datasets using Deepseek.
Combined with other AI technologies , create an intelligent search and data mining ecosystem (such as integration with AI models such as GPT-4 and Claude).
The best way to learn is to practice while learning :
If you are using the Deepseek API , you can directly try the code examples and query examples provided in this tutorial.
You can also follow the tutorial steps, from basic operations to advanced optimization, and practice step by step, and gradually master Deepseek's search and data mining capabilities.
This tutorial will not only introduce the basic operations of Deepseek , but also explain the key concepts of current AI search and data mining technologies , such as:
How intelligent search works : How to use AI for semantic understanding and search optimization.
How to optimize search query and data extraction rules to improve the quality of AI search.
Best practices for data mining and information extraction : Improve data analysis efficiency and result accuracy.
This knowledge applies not only to Deepseek , but also to the use of other AI data mining and search tools such as Algolia, ElasticSearch, GPT-4 search capabilities .
I hope this tutorial can help you master the core capabilities of Deepseek , and use it to improve your data search and mining efficiency, and create a smarter data analysis system!