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Manning authors
Dzejla Medjedovic
Author of
What You Need To Know about Modern Hashing
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Algorithms and Data Structures for Massive Datasets
David Sweet
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Practical Matters in A/B testing
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Experimentation for Engineers
Jike Chong
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How to Lead in Data Science - Part 6
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How to Lead in Data Science - Part 5
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Ask Dr Chong: Become a Leader in Data Science - Part 2
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Where AI and Privacy Engineering Collide
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Fabio Montagna
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Knowledge Graphs and LLMs in Action
Vlastimil Kus
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Knowledge Graphs and LLMs in Action
Alessandro Negro
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Advantages of Graph-Based Machine Learning Systems
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Graph-Powered Machine Learning
David Wong
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Exploring Modern Cryptography
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Real-World Cryptography
Zoltan Varju
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Getting Started with Google Colab Using TensorFlow
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Getting Started with Google Colab Using PyTorch
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Getting Started with Google Colab Using TensorFlow
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Getting Started with Google Colab Using PyTorch
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Getting Started with Jupyter Notebook
Vaibhav Verdhan
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Solving Tricky Business Problems with Unsupervised Learning with Python
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Data Without Labels
Eduard Cespedes
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Sentiment Analysis of Video with AWS Services
Hiroko Nishimura
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Paul Chiusano
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Functional Programming in Scala, Second Edition
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Functional Programming in Kotlin
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Functional Programming in Scala
Michael Pilquist
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Functional Programming in Scala, Second Edition
Runar Bjarnason
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Functional Programming in Kotlin
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Functional Programming in Scala
Christian Wenz
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ASP.NET Core Security
David Stork
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Deep Neural Networks for Image Segmentation in Fine Art
Maxime DEHAUT
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Hans Gunnoo
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Deep Reinforcement Learning for Self-Driving Robots
Byron Galbraith
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Deep Reinforcement Learning for Self-Driving Robots
Mike Brind
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ASP.NET Core Razor Pages in Action
Robert I. Kabacoff
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Modern Data Visualization with R
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R in Action, Third Edition
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R in Action, Second Edition
Mala Gupta
Author of
Streams API in Java
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OCA Java SE 8 Programmer I Certification Guide
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OCP Java SE 7 Programmer II Certification Guide
Krishnendu Chaudhury
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Gaussian Mixture Models: mathematical insights, applications and PyTorch Implementation hints
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Essential Tools For Deep Learning and Data Science
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Math and Architectures of Deep Learning
Gautam Kunapuli
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Gradient Boosting from Scratch
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Ensemble Methods for Machine Learning
Christian Clausen
Author of
Making Small Compiler Katas
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Refactoring the Gilded Rose Kata in Java
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Five Lines of Code
Chris Mattmann
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NLP, BERT, and the Anatomy of the Tensor
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Machine Learning with TensorFlow, Second Edition
Yakov Fain
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Exploring Modern Web Development
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TypeScript Quickly
Vitaly Bragilevsky
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Intro to Type-Level Programming in Haskell
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Haskell in Depth
Tim McNamara
Author of
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Learning Rust through examples
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Rust in Action
Scott Winkler
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Secrets Management with Terraform
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Terraform in Action
Roy Osherove
Author of
Unit Testing and Test Driven Development
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Understanding Mock Objects
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Prabath Siriwardena
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Microservices Security in Action
Peter Elger
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AI as a Service
Paul Orland
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Exploring Math for Programmers and Data Scientists
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Math for Programmers
Oliver Zeigermann
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Deep Learning Crash Course
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Exploring Modern Fortran Basics
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Modern Fortran
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Chaos Engineering
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AOP in .NET
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Seriously Good Software
Jeffrey Nickoloff
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Docker in Action, Second Edition
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Kalle Rosenbaum
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Jort Rodenburg
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Jon Wexler
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Get Programming with Node.js
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