- Statistics and Probability Knowledge Checklist
- Top 18 Probability and Statistics Interview Questions for Data Scientists
- What Is the Difference Between Descriptive and Inferential Statistics?
- What Are the Main Measures Used to Describe the Central Tendency of Data?
- What Are the Main Measures Used to Describe the Variability of Data?
- What Are Skewness and Kurtosis?
- Describe the Difference Between Correlation and Autocorrelation
- Explain the Difference Between Probability Distribution and Sampling Distribution
- What Is the Normal Distribution and How Is It Characterized?
- What Are the Assumptions of Linear Regression?
- What Is Hypothesis Testing?
- What Are the Most Common Statistical Tests Used?
- What Is the P-Value and How Can We Interpret It?
- What Is the Confidence Interval?
- What Are the Main Ideas of the Law of Large Numbers?
- What Is the Central Limit Theorem?
- What's the Difference Between Population and Sample in Data Analysis?
- The Difference Between Probability and Likelihood
- What's Your Knowledge of Statistics, and How Have You Used it as a Data Analyst?
- How to Data Scientists Use Statistics?
- General Interview Tips & Tricks
- Probability and Statistics Interview Questions for Data Scientists: Next Steps
Introduction to LangChain for Data Engineering & Data Applications
Introduction to LangChain for Data Engineering & Data Applications Introduction to LangChain LangChain is a cutting-edge framework designed to seamlessly integrate the power of AI from large language models into data pipelines and applications. This comprehensive tutorial offers an insightful glimpse into the remarkable capabilities of LangChain, shedding light on the myriad of problems it effectively tackles. Moreover, it presents practical illustrations of various data use cases, showcasing the versatility and potential of LangChain in action. Large language models (LLMs) like OpenAI GPT, Google Bert, and Meta LLaMA are revolutionizing every industry through their power to generate almost any text you can imagine, from marketing copy to data science code to poetry. While ChatGPT has taken the lion's share of attention through its intuitive chat interface, there are many more opportunities for making use of LLMs by incorporating them into other softwar...
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