王jian’s Post

Transform complex data into a manageable visual with a #KnowledgeGraph! Our article 'How to Build a Knowledge Graph' guides you through the steps. #NebulaGraph #NebulaGraphDB

Introducing our latest video: A summary of the fascinating article on Knowledge Graph Embeddings (KGEs). ⏰ In just a few minutes, you'll learn how KGEs can help you in filling in missing links, uncovering hidden connections and capturing semantic meaning from relational data. We dive into the power of KGEs, discuss the DistMult algorithm, and share insights and tips. 🔗 Check out the video here: https://buff.ly/46yCktA 📚 For a deeper dive, read the comprehensive article: https://buff.ly/3ywcuK3 #KnowledgeGraphEmbeddings #DataScience #MachineLearning #Superlinked

📚Knowledge Graph Embeddings - learn for yourself how KGEs can help you #machinelearning #Superlinked #datascience #ai #ml #knowledge #embeddings

Unlock the secrets hidden in your text data with my latest blog on drift monitoring using Evidently! 📈 From tracking subtle shifts in data to uncovering patterns in word embeddings, this article explores how Evidently empowers data practitioners to navigate the ever-changing landscape of textual data. 💡 Discover practical insights and actionable tips for maintaining model reliability in the face of evolving data dynamics. Don't let drift catch you off guard—stay ahead with Evidently! 🚀 📊 Blog Post: https://lnkd.in/gXBfQvyb #DataScience #TextAnalytics #DataDrift #EmbeddingsDrift #Evidently #TextDataInsights #MachineLearning #ArtificialIntelligence

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🚀 New Blog Alert! 🚀 I’m thrilled to share my first blog post on understanding categorical data! 🎉 In this comprehensive guide, I cover: 🔍 What categorical data is and why it’s important 🔢 The two main types: Nominal and Ordinal 🌍 Real-world applications and examples 💡 How to encode categorical data for machine learning This guide offers valuable insights. Check it out and let me know your thoughts! #DataScience #MachineLearning #DataAnalysis #CategoricalData #DataScienceTips 🔗 Read the full blog here https://lnkd.in/dHypdYMU

Data is the lifeblood of #MachineLearning, and #KnowledgeGraphs are the heart that pumps it. Find out how in our new article about the magic of Knowledge Graphs and ML. #NebulaGraph #NebulaGraphDB

Data is the lifeblood of #MachineLearning, and #KnowledgeGraphs are the heart that pumps it. Find out how in our new article about the magic of Knowledge Graphs and ML. #NebulaGraph #NebulaGraphDB

In sentiment analysis, feature selection plays a critical role in capturing relevant data points within text. From basic word frequency counts to more nuanced approaches, carefully selecting features ensures the extracted insights truly reflect sentiment and can be used to drive meaningful business decisions. Bag-of-Words is a foundational method for representing text data in sentiment analysis. While straightforward and easy to implement, it also has some limitations, like losing word order and context. Despite its simplicity, Bag-of-Words remains a popular choice in text data analysis and can be highly effective depending on the application. #DataScience #TextData #DataRepresentation #DataAnalytics #FeatureEngineering #TextInsights