The real bottleneck isn’t models. It’s unstructured data. I saw a side-by-side demo that made this obvious: → Raw data environment
• lower accuracy
• higher risk
• inefficient outputs → Metadata-enriched environment
• better decisions
• faster results
• measurable
DATA
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AI bottleneck is unstructured data not models
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Databricks CEO: AI’s challenge is context, not intelligence
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"AI doesn't have an intelligence problem. AI has a context problem. The top-of-mind question for every CEO on the planet is: How do we feed it that context? And that context is in the data." Databricks co-founder and CEO @alighodsi joined @jimcramer on @MadMoneyOnCNBC to discuss
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Mathematical Methods in Data Science and Machine Learning
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Mathematical Methods in Data Science — Bridging Theory and Applications with Python: http://
amzn.to/4b7ZYQ4
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#ML #MachineLearning #DataScientist #DataScience #Mathematics #AI #Algorithms -
Financial Machine Learning Resource and Interactive AI Analysis Tool
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Financial Machine Learning (159-page PDF) Download here: https://
papers.ssrn.com/sol3/papers.cf
m?abstract_id=4501707
… Chat with the document and ask it any questions here: https://
chat.pageindex.ai/share/doc/cmju
5km290000ju04ahzs9s2w
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Guide to AI-Powered Qualitative Data Analysis with ChatGPT
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Qualitative Data Analysis With Chatgpt And Qualcoder: A Step-By-Step Guide To AI-Powered Coding And Thematic Analysis AI-Powered Research Toolkit — Mastering Research Series — available at http://
amzn.to/4bRsV3q -
Developing and Debugging Machine Learning and Deep Learning Models
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Develop and Debug high-performance, low-bias, and explainable Machine Learning and Deep Learning Models with Python : http://
amzn.to/3u2JiIB by @AliMLearning via @PacktDataML —————
#DataScientist #DataScience #AI #ML -
Python Feature Engineering Cookbook for Machine Learning Models
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3rd Edition! "Python Feature Engineering Cookbook", complete guidebook with recipes for crafting powerful features for #MachineLearning models: http://
amzn.to/4rDWUT9 by @Soledad_Galli —————
#AI #ML #DataLiteracy #DataScience #DataScientist -
Computer Age Statistical Inference: Foundations for Data Science and AI
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Computer Age Statistical Inference — Algorithms, Evidence, and Data Science: http://
amzn.to/47zAhar -
Educational resources for unsupervised machine learning and data analysis
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Data Without Labels — Models and Algorithms for Practical Unsupervised #MachineLearning: http://
amzn.to/4q5bbYz 𝓦𝓱𝓪𝓽 𝓨𝓸𝓾 𝓦𝓲𝓵𝓵 𝓛𝓮𝓪𝓻𝓷: Fundamental building blocks and concepts of machine learning and unsupervised learning
Data cleaning for structured and -
Practical Guide to Applied Machine Learning and Model Implementation
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Applied Machine Learning: A Practical Guide to Preparing Data, Selecting Algorithms, and Implementing Machine Learning Models in the Real World Available at http://
amzn.to/4uTZjLn