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Machine Learning & Big Data Bundle

Machine Learning & Big Data Bundle
From £0.90
Up to
-99%
Get 21 eBooks worth £514.79
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Lifetime Ownership
Lifetime Ownership
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Instant Delivery
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Expert Teaching
Expert Teaching
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Tier 1 - Pay £0.90

Tier 2 - Pay £9.00 - Including products above

Tier 3 - Pay £18.05 - Including products above

About this Bundle

Save time and get a machine to do tasks for you! Learn how to automate with 21 eBooks in the brand-new Machine Learning & Big Data Bundle.

With all new-to-Fanatical content included across three tiers, you’ll get a deep dive into major computing software and services including Python, Azure, and much more. Jump into Tier One and get five products, including the easy-to-follow Engineering MLOps.

This eBook will help you become well-versed with MLOps techniques to monitor the quality of machine learning models in production - allowing you to design a robust and scalable microservice and API for test and production environments.

Why not up the ante and choose Tier Two, where you’ll receive a total of 11 eBooks to help you gain new skills and improve on the ones you’ve already started learning. With the Python Natural Language Processing Cookbook, you’ll solve real-world NLP problems such as dependency parsing, information extraction, topic modeling, and text data visualization.

Analyze varying complexities of text using popular Python packages including NLTK, spaCy, sklearn, and gensim.

Or get the full works and choose Tier Three to obtain all 21 eBooks available. Mitigate risks in AI systems before they have broader implications by learning how to debug black-box models with Interpretable Machine Learning with Python; get to grips with shallow embedding methods, graph neural networks, graph regularization methods, and more with Graph Machine Learning; and discover how to build a cloud-based data warehouse at petabyte-scale that is burstable and built to scale for end-to-end analytical solutions with Amazon Redshift Cookbook.

Please note that the eBooks in this collection vary in format (EPUB & PDF, and EPUB & MIXED).