Genlib.top: Machine Learning

Showing posts with label Machine Learning. Show all posts

Python Machine Learning By Example, 4th Edition

December 14, 2024

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Python Machine Learning By Example, 4th Edition: Unlock machine learning best practices with real-world use cases

November 28, 2024

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Supervised Machine Learning for Science: How to stop worrying and love your black box

November 23, 2024

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Just Enough Data Science and Machine Learning: Essential Tools and Techniques

November 12, 2024

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Data Science and Machine Learning for Non-Programmers: Using SAS Enterprise Miner

November 12, 2024

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Artificial Intelligence, Machine Learning and User Interface Design

October 12, 2024

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Machine Learning Production Systems, 2nd Edition: Engineering Machine Learning Models and Pipelines

October 06, 2024

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Mastering ChatGPT and Google Colab for Machine Learning: Automate AI Workflows and Fast-Track Your Machine Learning Tasks with the Power of ChatGPT, Google Colab, and Python

October 05, 2024

DOWNLOAD 📌 Mastering ChatGPT and Google Colab for Machine Learning: Automate AI Workflows and Fast-Track Your Machine Learning Tasks wit...

Python Machine Learning By Example, 4th Edition

Python Machine Learning By Example, 4th Edition: Unlock machine learning best practices with real-world use cases

Supervised Machine Learning for Science: How to stop worrying and love your black box

Just Enough Data Science and Machine Learning: Essential Tools and Techniques

Data Science and Machine Learning for Non-Programmers: Using SAS Enterprise Miner

Artificial Intelligence, Machine Learning and User Interface Design

Machine Learning Production Systems, 2nd Edition: Engineering Machine Learning Models and Pipelines

Mastering ChatGPT and Google Colab for Machine Learning: Automate AI Workflows and Fast-Track Your Machine Learning Tasks with the Power of ChatGPT, Google Colab, and Python

Data Engineering for Machine Learning Pipelines: From Python Libraries to ML Pipelines and Cloud Platforms

Machine Learning with Python: Foundations and Applications (ML, #1)

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