必须选择的网络营销：做谷歌SEO需要大量发文章吗？知乎热议
谷歌更新机器学习课程，SEO小白该何去何从？
Google Updates Machine Learning Courses: Where Should SEO Beginners Go?
谷歌对机器学习速成课程进行了重要更新，新增了关于大型语言模型和自动化机器学习的新视频和模块。这些课程内容将有效提升SEO从业者的专业水平。
Google has made significant updates to its Machine Learning Crash Course, adding new videos and modules on large language models and automated machine learning. These course materials will effectively enhance the professional skills of SEO practitioners.
谷歌机器学习课程以通俗易懂著称，全面涵盖机器学习的基础概念和实际应用场景。最新课程增加了四大核心内容：
Google's machine learning courses are renowned for being easy to understand, comprehensively covering the basic concepts and practical applications of machine learning. The latest courses have added four core contents:
- 大型语言模型
- Large Language Models
- 自动机器学习
- Automated Machine Learning
- 扩大数据处理范围
- Expanded Data Processing Scope
- 负责任人工智能的扩展内容
- Extended Content on Responsible AI
大型语言模型模块是新课程的最大亮点，能够帮助学员快速入门并掌握相关技术。但专家建议，在学习该模块前，最好先完成其他六门基础课程，以建立扎实的知识基础。
The Large Language Models module is the highlight of the new courses, helping learners quickly get started and master relevant technologies. However, experts suggest that before studying this module, it's best to complete six other foundational courses first to establish a solid knowledge base.
对于SEO从业者而言，线性回归、神经网络和嵌入等课程尤为重要。掌握这些技术的原理有助于：
For SEO practitioners, courses like linear regression, neural networks, and embeddings are particularly important. Understanding the principles of these technologies helps to:
- 深入了解搜索引擎的工作原理
- Gain in-depth understanding of how search engines work
- 避免受到误导性观点的影响
- Avoid being misled by incorrect information
- 成为更优秀的搜索营销专家
- Become a better search marketing professional
随着谷歌算法的不断更新，SEO从业者需要持续学习才能保持竞争力。这些机器学习课程为SEO人员提供了宝贵的学习资源，帮助他们理解搜索引擎背后的技术原理，从而制定更有效的优化策略。
With Google's algorithms constantly updating, SEO practitioners need continuous learning to maintain competitiveness. These machine learning courses provide valuable resources for SEO professionals to understand the technical principles behind search engines, enabling them to develop more effective optimization strategies.
