- -22%
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
0Original price was: $59.99.$46.90Current price is: $46.90.Designing Data-Intensive Applications, by Martin Kleppmann, is a vendor-neutral guide to the concepts behind modern data systems, published by O’Reilly.
It works through relational databases, NoSQL datastores, message brokers and stream processors, along with the distributed systems trade-offs in replication, partitioning, transactions and consistency models. It suits software engineers and architects building data-heavy systems. ISBN 9781449373320.
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Effective Java 3rd Edition
0Original price was: $59.99.$42.50Current price is: $42.50.Ninety independent, actionable rules for writing more maintainable Java code.
Joshua Bloch, who worked on Java’s architecture at Google and Sun Microsystems, updates this edition for Java 7, 8 and 9 with new chapters on lambdas, streams and the module system. It suits Java developers from mid-level to experienced architects. ISBN 9780134685991.
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Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data
0Original price was: $79.99.$42.90Current price is: $42.90.A hands-on guide to unsupervised learning that builds working models from unlabeled data.
Ankur A. Patel uses Scikit-learn and TensorFlow with Keras to walk through clustering, dimensionality reduction and anomaly detection with step-by-step code. It suits developers and data scientists ready to move past supervised learning. ISBN 9781492035640.
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Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python, 2nd Edition
0Original price was: $79.99.$45.00Current price is: $45.00.Fifty-plus statistical concepts data scientists actually use, with code in R and Python.
Peter Bruce, Andrew Bruce and Peter Gedeck skip dense proofs for practical, code-driven explanations covering exploratory analysis, regression and machine learning techniques. It suits working data scientists and analysts who want application over theory. ISBN 9781492072942.
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Reinforcement Learning: An Introduction (2nd Edition)
0Original price was: $120.00.$51.90Current price is: $51.90.The book that defined how a generation learned reinforcement learning, expanded and updated in its second edition.
Sutton and Barto’s Reinforcement Learning: An Introduction gives a clear, unhurried account of how an agent learns to act by maximising reward while interacting with a complex, uncertain environment. Part I develops the tabular case, where exact solutions exist, and Part II moves to function approximation and the methods that scale to real problems. MIT Press hardcover, ISBN 9780262039246.
