Advanced Certificate in Cloud-Native Text Analytics
-- ViewingNowThe Advanced Certificate in Cloud-Native Text Analytics is a valuable course that empowers learners with essential skills in cloud computing and text analytics. This certification course is crucial in today's data-driven world, where businesses rely on data analytics to make informed decisions.
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โข <strong>Cloud-Native Architectures:</strong> An overview of cloud-native architectures and their importance in text analytics.
โข <strong>Containerization and Orchestration:</strong> Introduction to containerization technologies like Docker and orchestration systems like Kubernetes.
โข <strong>Distributed Storage and Processing:</strong> Understanding of distributed storage solutions and processing frameworks for large-scale text analytics.
โข <strong>Natural Language Processing (NLP):</strong> Deep dive into NLP techniques, including tokenization, part-of-speech tagging, and named entity recognition.
โข <strong>Sentiment Analysis:</strong> Exploration of sentiment analysis algorithms and techniques, including machine learning and deep learning approaches.
โข <strong>Topic Modeling:</strong> Introduction to topic modeling techniques, including Latent Dirichlet Allocation (LDA) and Non-negative Matrix Factorization (NMF).
โข <strong>Text Classification and Clustering:</strong> Study of text classification and clustering algorithms, including Naive Bayes, Support Vector Machines (SVM), and K-means.
โข <strong>Cloud-Native Text Analytics Tools:</strong> Overview of popular cloud-native text analytics tools, including Apache Spark, Hadoop, and Flink.
โข <strong>Cloud Security and Compliance:</strong> Understanding of cloud security and compliance considerations for text analytics in the cloud.
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