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Manning authors
Mathias Funk
Author of
Creative Coding with p5.js
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Visualizing Algorithms
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Creative Coding with Processing
Carl Gold
Author of
Fighting Churn with Manning's liveBook Data
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Churn Forecasting
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Churn Analysis
Rohan Khilnani
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BERT-Based Transformer Projects
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Spam SMS Detection
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Fake News Detection
Philip Kulp
Author of
Develop Secure Java Applications to Prevent Website Attacks
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Session Hijacking
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Secure Failing Code
Pavel Korshunov
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Detecting Deepfakes Using Visual Inconsistencies
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Detection with SVM
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Analysis and Feature Extraction
Philippe Charriere
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Build an IoT Management Platform with Vert.x
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Authentication and Visualization
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Create an MQTT Broker
Andrej Baranovskij
Author of
Human Pose Estimation with TensorFlow.js and React
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Classify a Workout
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Train a Model
Olesya Bondarenko
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Build a Search Tool with NLP
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UI for a Search API with Flask and Bootstrap
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Building a Search API with Elasticsearch and BERT
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End-to-End Machine Learning for Rain Prediction
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Deploy a Predictive Model
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Evaluate a Binary Classifier
Huabing Zhao
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Distributed Tracing with Jaeger, Kubernetes, and Istio
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Distributed Tracing with Istio
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Tracing for Several Microservices
Michael Grogan
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Time Series Forecasting with Bayesian Modeling
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Time Series Modeling with TensorFlow Probability
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Prophet Model Incorporated with Bayesian Analysis
Monica Guimaraes
Author of
Regression for Life Expectancy Analysis
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Life Expectancy Analysis
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Regression Diagnostics
Vishwesh Shrimali
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Computer Vision Applications using OpenCV
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Detect Eyes Using Haar Cascades and Hough Transformation
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Detect a Face Using Haar Cascades
Rajeev Ratan
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Art Style Transfer with Deep Learning
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Generate Art
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Dror Helper
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Automated Testing for C# Developers
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Working with Legacy Code
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BDD and Acceptance Tests
Umar Mohammed
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Mitigate Machine Learning Bias in Mortgage Lending Data
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Mitigate Machine Learning Bias in Mortgage Lending Data
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Mitigating Bias with Preprocessing
Emre Kazim
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Catherine Inness
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Evan Hennis
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Deep Learning for Basketball Scores Prediction
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Deploy a Predictor on Android
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Deploy a Predictor on the Web
Olga Petrova
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Semi-Supervised Deep Learning with GANs for Melanoma Detection
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Semi-Supervised GANs for Melanoma Detection
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Generative Modeling with VAEs and GANs
Isaac Abraham
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F# in Action
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Get Programming with F#
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Getting Started with Git
Konrad Rudolph
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Data Dashboards with R and Shiny
Joe Justesen
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Hands-on with C++ 20: Ranges, Coroutines, Concepts, and Modules
Daniel Walsh
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Podman in Action
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Go in Action, Second Edition
Andy Walker
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Go in Action, Second Edition
Emily Robinson
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Build a Career in Data Science
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Build a Career in Data Science
Jon Borgman
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Evgenij Smirnov
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Tiny PowerShell Projects
Bill Burns
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Tiny PowerShell Projects
Frank Rubin
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Daniel Gookin
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Tiny C Projects
Kamran Amini
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J.J. Allaire
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Deep Learning with R
Sigrid Keydana
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Thushan Ganegedara
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TensorFlow in Action
Sedat Kapanoglu
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Street Coder
Dzejla Medjedovic
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Algorithms and Data Structures for Massive Datasets
David Sweet
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Experimentation for Engineers
bram Vogelaar
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Fabio Montagna
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Giuseppe Futia
Author of
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Alessandro Negro
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Knowledge Graphs and LLMs in Action
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David Wong
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Real-World Cryptography
Zoltan Varju
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Getting Started with Google Colab Using PyTorch
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Getting Started with Jupyter Notebook
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