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Analytics

Harness the power of data with analytics insights. Learn how to interpret metrics, track user behavior, and make informed decisions to drive business growth.

Past Edition

Dive back into Analytics Edition #429 for Monday, August 28, 2023's essential reads and reflections

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  1. Unleashing Victory: How Data Collection Is Revolutionizing Football Performance Analysis!
    SmartData Collective ·
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  2. A birds eye view of linear algebra: the basics
    Towards Data Science ·
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  3. Teaching Language Models to use Tools
    Towards Data Science ·
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  4. Upwork Unveils Top 10 Generative AI-Related Searches and Hires in First Half of 2023
    insideBIGDATA ·
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  5. Build a Better Bar Chart with This Trick
    Towards Data Science ·
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  6. How to Use Chat-GPT and Python to Build a Knowledge Graph in Neo4j Based on Your Own Articles
    Towards Data Science ·
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  7. Monte Carlo Methods
    Towards Data Science ·
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  8. The CLIP Foundation Model
    Towards Data Science ·
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  9. How to Troubleshoot Python Scripts with the Logging Module
    Towards Data Science ·
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  10. Effective coding with dates and times in Python
    Towards Data Science ·
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  11. Dive Into LoRA Adapters
    Towards Data Science ·
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  12. Randomizing Very Large Datasets
    Towards Data Science · Dataset ·
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  13. Video Highlights: Introducing Fennel – A Modern Realtime ML Feature Platform
    insideBIGDATA ·
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  14. Dynamic Pricing with Reinforcement Learning from Scratch: Q-Learning
    Towards Data Science ·
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  15. Beyond Bar Charts: Data with Sankey, Circular Packing, and Network Graphs
    Towards Data Science ·
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  16. The Next Step is Responsible AI. How Do We Get There?
    Towards Data Science ·
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  17. Here's What You Are Missing
    Towards Data Science ·
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  18. Innovative Strategies for Startups and SMEs in the Digital Age
    Datafloq ·
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  19. Monte Carlo Approximation Methods: Which one should you choose and when?
    Towards Data Science ·
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  20. More than Just Reptiles: Exploring the Iguanas Toolkit for XAI Beyond Black Box Models
    Towards Data Science ·
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  21. Building Better ML Systems — Chapter 3: Modeling. Let the fun begin
    Towards Data Science ·
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  22. Chronic Kidney Disease Prediction: A Fresh Perspective
    Towards Data Science ·
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  23. Legal and Ethical Perspectives on Generative AI
    Towards Data Science ·
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  24. Streamlit and MongoDB: Storing Your Data in the Cloud
    Towards Data Science ·
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  25. Flowcharts: Bridging Communication Gaps and Enhancing Collaboration in Modern Businesses
    Datafloq ·
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  26. Data Science for Good: Beyond Profits, Towards a Better World
    Towards Data Science ·
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  27. 3 Intelligent Ways to Use ChatGPT to Speed Up Your Next Data Science Project
    Towards Data Science ·
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  28. What Does Real-time Really Mean In Data Analytics?
    insideBIGDATA · Analytics ·
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  29. How to Ace Data Scientist Professional Certificate Exam
    KDNuggets ·
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  30. Pinpointing your ML algorithm is not as difficult as you think
    Dataconomy ·
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  31. Things You Should Know When Scaling Your Web Data-Driven Product
    KDNuggets ·
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  32. Using AI technologies for effective document processing
    Data Science Central ·
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  33. Data visualization: The underrated skill in business analytics
    Data Science Central · Analytics Visualization ·
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  34. Visualizations of Embeddings
    Towards Data Science · Visualization ·
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  35. In-depth analysis of artificial intelligence techniques for emotion detection: State-of-the-art, approaches, and perspectives
    Dataconomy ·
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  36. 7 Projects Built with Generative AI
    KDNuggets ·
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  37. What does GPT stand for? A comprehensive explanation
    Dataconomy ·
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  38. Don’t join the TikTok egg cracking trend, doctors warn
    Dataconomy · Trend ·
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  39. The AI Gold Rush is on, But We’re Running Out of Shovels
    insideBIGDATA ·
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  40. Renting vs. Owning a Home, by State
    FlowingData ·
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  41. T-Mobile layoffs 2023 hits 5,000 employees
    Dataconomy ·
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  42. Reddit Moderator Rewards and Mod Helper Program aims to improve the ties
    Dataconomy ·
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  43. How I Built A Cascading Data Pipeline Based on AWS (Part 2)
    Towards Data Science ·
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  44. Prompt Engineering — How to trick AI into solving your problems
    Towards Data Science ·
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  45. IIoT Security Challenges & Tips to Navigate Them
    Datafloq ·
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  46. GPTQ or bitsandbytes: Which Quantization Method to Use for LLMs — Examples with Llama 2
    Towards Data Science ·
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  47. Organizing Generative AI: 5 Lessons Learned From Data Science Teams
    Towards Data Science ·
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  48. Anaconda Distribution for Python Brings Data Science to Hundreds of Millions of Microsoft Excel Users
    insideBIGDATA · Excel ·
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  49. Service Looking to hire a Fractional Website Manager? Book a call today to explore how we can elevate your website's success!
    alinmat.com
  50. Product Upload your images or PDFs and extract text seamlessly
    3DOCR
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  1. AIThe Opportunity And Risk Of Generative AI, Part III: Responsible AI Ethics - Audio Blogs
    Secrets of Data Analytics Leaders ·
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  2. Bring Your Own Data to LLMs (W/ Jerry Liu of LlamaIndex)
    The Analytics Engineering Podcast ·
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