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How to: Handle Missing Data for Time Series
How to: Handle Missing Data for Time Series
Should you drop, interpolate, or impute?
Haden Pelletier
May 24
From Assumptions to Accuracy: The Role of Conditional Probability in Real-World Predictions
From Assumptions to Accuracy: The Role of Conditional Probability in Real-World Predictions
Conditional probability is better than probability ; IF you have the relevant information
Atisha Rajpurohit
May 24
Latest
The Art of Stress Management as a Data Scientist
The Art of Stress Management as a Data Scientist
What you do when you’re not a data scientist could help you become a better data scientist
Zijing Zhu, PhD
May 24
Behind The Scenes: Explaining My Work As A Data Scientist
Behind The Scenes: Explaining My Work As A Data Scientist
A breakdown of what my data science role truly entails
Egor Howell
May 24
6 Real-World Uses of Microsoft’s Newest Phi-3 Vision-Language Model
6 Real-World Uses of Microsoft’s Newest Phi-3 Vision-Language Model
Exploring possible use cases of Phi-3-Vision, a small yet powerful MLLM that can be run locally (with code examples)
Youness Mansar
May 24
Streamline Your Prompts to Decrease LLM Costs and Latency
Streamline Your Prompts to Decrease LLM Costs and Latency
Discover 5 techniques to optimize token usage without sacrificing accuracy
Jan Majewski
May 24
Real-Time Analytics Solution for Usage-Based API Billing and Metering
Real-Time Analytics Solution for Usage-Based API Billing and Metering
Design a real-time analytics pipeline for tracking API invocation usage with Apache APISIX, Redpanda, and Apache Pinot.
Dunith Danushka
May 24
Practical Computer Simulations for Product Analysts
Practical Computer Simulations for Product Analysts
Part 3: Modelling Ops queues
Mariya Mansurova
May 23
Optimising Non-Linear Treatment Effects in Pricing and Promotions
Optimising Non-Linear Treatment Effects in Pricing and Promotions
Causal AI, exploring the integration of causal reasoning into machine learning
Ryan O'Sullivan
May 23
Understanding Low Rank Adaptation (LoRA) in Fine Tuning LLMs
Understanding Low Rank Adaptation (LoRA) in Fine Tuning LLMs
How LoRA works to fine-tune LLMs, following the methodology set out in the “LoRA: Low-Rank Adaptation of Large Language Models” paper
Matthew Gunton
May 23
Supply Chain Process Scheduling with Python
Supply Chain Process Scheduling with Python
Use linear programming to Increase the production capacity of value-added services in a warehouse of luxury products
Samir Saci
May 23
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