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Machine Learning, Data Science, and AI Engineering with Python. Build real world ML pipelines, deploy LLM in production, and scale AI applications with Python Frank Kane, Gabriel Preda

(ebook) (audiobook) (audiobook) Język publikacji: angielski
Machine Learning, Data Science, and AI Engineering with Python. Build real world ML pipelines, deploy LLM in production, and scale AI applications with Python Frank Kane, Gabriel Preda - okladka książki

Machine Learning, Data Science, and AI Engineering with Python. Build real world ML pipelines, deploy LLM in production, and scale AI applications with Python Frank Kane, Gabriel Preda - okladka książki

Machine Learning, Data Science, and AI Engineering with Python. Build real world ML pipelines, deploy LLM in production, and scale AI applications with Python Frank Kane, Gabriel Preda - audiobook MP3

Machine Learning, Data Science, and AI Engineering with Python. Build real world ML pipelines, deploy LLM in production, and scale AI applications with Python Frank Kane, Gabriel Preda - audiobook CD

Autorzy:
Frank Kane, Gabriel Preda
Wydawnictwo:
Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
Ocena:
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Machine Learning, Data Science, and AI Engineering with Python teaches you how to build and ship production-ready AI systems. Starting from core concepts in machine learning, data science, and Python tooling, you’ll move through deep learning, Transformers, and large language models to master advanced tools like retrieval-augmented generation (RAG), LLM agents, and responsible AI workflows.

With each chapter building toward a complete machine learning pipeline, you’ll gain hands-on experience with tools like PyTorch, MLflow, DVC, and FastAPI. You'll also explore key production skills such as model versioning, A/B testing, and containerized deployment.

By the end of this book, you’ll know how to take a raw dataset and develop, evaluate, and deploy real time AI systems that are robust, scalable, and explainable.

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O autorach książki

Frank Kane has spent nine years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers all the time. He holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology and teaches others about big data analysis.
Dr. Gabriel Preda is a Principal Data Scientist for Endava, a major software services company. He has worked on projects in various industries, including financial services, banking, portfolio management, telecom, and healthcare, developing machine learning solutions for various business problems, including risk prediction, churn analysis, anomaly detection, task recommendations, and document information extraction. In addition, he is very active in competitive machine learning, currently holding the title of a three-time Kaggle Grandmaster and is well-known for his Kaggle Notebooks.

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