Generative AI on Google Cloud with #LangChain โ Design scalable #GenerativeAI solutions with #Python, LangChain, and Vertex AI on Google Cloud: http://
amzn.to/4frbkPA v/ @PacktDataML ๐๐ฎ๐ ๐๐ฎ๐ช๐ฝ๐พ๐ป๐ฎ๐ผ:
Turn challenges into opportunities by learning advanced techniques
MACHINE LEARNING
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Generative AI on Google Cloud with LangChain and Python
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Data Engineering with Google Cloud Platform: Scalable Data Platform Guide
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#DataEngineering with Google Cloud Platform #GCP โ A Guide to leveling up as a #DataEngineer by building a scalable data platform with Google Cloud: http://
amzn.to/4ecMUtM [2nd Edition] v/ @PacktDataML โโโโโ
#DataAnalytics #Analytics #CDO #CTO #AI #ML #MLOps #DataScience -
Kaggle Workbook: Self-Learning Exercises for Data Science Competitions
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โThe #Kaggle Workbook: Self-Learning Exercises and Valuable Insights for @Kaggle #DataScience Competitions": http://
amzn.to/41jKa7r by @tng_konrad and @LucaMassaron โโโโโโ
#Analytics #DataScientist #AI #DeepLearning #ML #MachineLearning #Python #Coding -
The Data Science Design Manual: Essential Resource for Data Scientists
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The Data Science Design Manual: http://
amzn.to/45lXMTn
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#DataScience #DataScientist #Analytics #AI #ML #MachineLearning #DataViz #DataStorytelling #DataLiteracy -
Machine Learning and Generative AI for Marketing with Python
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#MachineLearning and #GenerativeAI for Marketing using #Python โ http://
amzn.to/4dNES9Z via @PacktDataML Key Features: Enhance customer engagement and personalization through predictive analytics and advanced segmentation techniques Combine Python programming with the -
New Book on AI Agents Design Implementation and Production Scaling
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See the latest book from @AltoValentina
, released by @PacktDataML at http://
amzn.to/4p98LYl "AI Agents in Practice โ Design, Implement, and Scale Autonomous #AI Systems for Production" Book Description (from Amazon): As AI agents evolve to take on complex tasks and operate -
Master Trending AI Tech in 2025 โ Complete Learning Roadmap
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Master Trending AI Tech in 2025 โ Roadmap Fundamentals (1โ1.5 mo) Python | Data Analysis | Math for AI | Git | Cloud Basics Core Machine Learning (1.5โ2 mo) Supervised/Unsupervised | Pipelines | Model Monitoring | Feature Eng. Deep
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AI Benchmarks Beyond Training Data: Olympiads and New Metrics
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It is why the gold medals at the various math and coding Olympiads were a big deal: unsaturated benchmarks that weren't in the training data with clear human comparisons. We are down to the various measures of task length (METR), HLE, FrontierMath, vending machine operation…
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Intelligence Density: Large Models’ Distance from Theoretical Maximum
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Intelligence density per unit of memory & compute is a fundamental metric. My rough guess is that large models are at least one, but maybe two, orders of magnitude away from the Platonic maximum.
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DeepMind Fluid Dynamics Research Building Blocks
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Given all the attention to fluid dynamics with @GoogleDeepMind our work from a few months ago that was one of the building blocks