Spark 课程可以帮助您学习数据处理、实时解析、机器学习集成和 Big Data 管理。您可以掌握分布式计算、数据 Visualization 和优化大型数据集性能方面的技能。许多课程都会介绍 Apache Spark、Scala 和 Python 等工具,展示如何利用这些技术高效处理海量数据并支持 AI 应用。

您将获得的技能: Data Preprocessing, Logistic Regression, Data Cleansing, Apache Spark, PySpark, Data Manipulation, Applied Machine Learning, Predictive Modeling, Data Science, Machine Learning, Python Programming
★ 4.6 (22) · 中级 · 指导项目 · 不超过 2 小时

Duke University
您将获得的技能: 数据分析, 数据转换, 生成式人工智能, 数据湖, 机器学习, 分析, 数据科学, Apache Spark, Databricks, MLOps(机器学习运营), 数据管道, 法学硕士申请, 拥抱的脸, 模型部署, 负责任的人工智能, 大型语言建模, 数据处理, 摘录
★ 3.9 (12) · 初级 · 课程 · 1-4 周

您将获得的技能: Apache Spark, Large Language Modeling, Applied Machine Learning, Model Training
中级 · 课程 · 1-3 个月

Universidad de los Andes
您将获得的技能: Spatial Analysis, NoSQL, Spatial Data Analysis, Geospatial Mapping, Geographic Information Systems, Public Cloud, Geospatial Information and Technology, Big Data, MongoDB, GIS Software, Data Infrastructure, Apache Hadoop, Apache Spark, Distributed Computing, Data Architecture, Cloud Computing Architecture, Cloud Platforms, Database Systems, Scalability, Databases
★ 3.9 (13) · 初级 · 专项课程 · 3-6 个月

您将获得的技能: AI Personalization, Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, AWS SageMaker, Scalability, Tensorflow, Dimensionality Reduction, Autoencoders, Artificial Neural Networks, Applied Machine Learning, Python Programming, Fraud detection, Machine Learning Algorithms, Model Optimization, Model Evaluation
中级 · 课程 · 3-6 个月
您将获得的技能: Data Warehousing, Google Cloud Platform, Big Data, Model Evaluation, Apache Spark, Data Integration, Dataflow, SQL, Data Pipelines, Metadata Management, Data Management, Real Time Data, Tensorflow, Data Science, Command-Line Interface, Applied Machine Learning, Cloud-Based Integration, Apache Hadoop, Query Languages, Machine Learning
★ 4.3 (125) · 中级 · 专项课程 · 1-3 个月

您将获得的技能: PySpark, Apache Spark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI API, Data Manipulation, Pandas (Python Package), Data Transformation, Unsupervised Learning, Applied Machine Learning, Embeddings, Machine Learning
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Databricks, Data Lakes, Data Transformation, Data Quality, Data Infrastructure, Data Governance, Data Pipelines, Real Time Data, Data Architecture, Data Management, Terraform, Data Maintenance, Data Validation, Apache Spark, Data Access, Data Integrity, Data Storage, Cloud Computing, Scalability, Data Security
初级 · 课程 · 1-3 个月

您将获得的技能: Cloud Engineering, Data Integration, Performance Tuning, Serverless Computing, Database Architecture and Administration, Data Quality, Data Transformation
初级 · 课程 · 1-3 个月

您将获得的技能: AWS Kinesis, Amazon DynamoDB, Amazon S3, Amazon Web Services, Data Pipelines, AWS SageMaker, Real Time Data, Amazon CloudWatch, AWS Identity and Access Management (IAM), Data Visualization, Cloud Storage, Data Presentation, Apache Spark, Dashboard, Apache Hive, Interactive Data Visualization, Apache Hadoop, Data Visualization Software, Database Development, Data Processing
初级 · 专项课程 · 1-3 个月

您将获得的技能: Model Optimization, MLOps (Machine Learning Operations), Systems Architecture, Model Evaluation, Feature Engineering, AI Integrations, Image Analysis, Model Training, Model Deployment, Extract, Transform, Load, Systems Design, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Apache Spark, Natural Language Processing, Pandas (Python Package), Cloud Deployment, Machine Learning, Computer Vision, Computational Thinking
中级 · 专业证书 · 3-6 个月

您将获得的技能: Microsoft Azure, MLOps (Machine Learning Operations), Data Science, Machine Learning, Prompt Engineering Tools, Model Evaluation, Applied Machine Learning, Data Store, AI Workflows, Apache Spark, Data Strategy, Data Import/Export, Azure Synapse Analytics, Cloud Computing, Fine-tuning, Data Pipelines, Continuous Monitoring, Data Preprocessing, Scalability, Development Environment
中级 · 专项课程 · 1-3 个月