COMPUTERS / Data Science / Machine Learning.
Overview
| Works: | 14 works in 14 publications in 14 languages | |
|---|---|---|
Titles
Generative AI for financial services : = challenges, anti-patterns, and best practices /
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Data engineering for AI/ML pipelines : = ultimate guide to data pipelines and architectures for AI/ML applications /
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Optimizing AI and machine learning solutions : = your ultimate guide to building high-impact ML/AI solutions /
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Learn AI with Python : = explore machine learning and deep learning techniques for building smart AI systems using scikit-learn, NLTK, NeuroLab, and Keras /
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Hyperautomation with generative AI = learn how Hyperautomation and Generative AI can help you transform your business and create new value /
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Learning Google Cloud Vertex AI = build, deploy, and manage machine learning models with Vertex AI /
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Essentials of deep learning and AI : = experience unsupervised learning, autoencoders, feature engineering and time series analysis with tensorflow, keras, and scikit-learn /
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Hands-on artificial intelligence for android : = understand machine learning and unleash the power of tensorflow in android applications with google ML Kit /
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Demystifying artificial intelligence = simplified AI and machine learning concepts for everyone /
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Up and running google AutoML and AI platform = building machine learning and NLP models using AutoML and AI platform for production environment /
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Artificial intelligence and deep learning for decision makers = a growth hacker’s guide to cutting edge technologies /
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