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By Fred Nwanganga, Mike Chapple

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By Fred Nwanganga, Mike Chapple

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By Muhammad Asif Abbasi

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By Muhammad Asif Abbasi

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Principles of Data Mining (Adaptive Computation and Machine Learning series)

By David J. Hand, Heikki Mannila, Padhraic Smyth

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Machine Learning and Data Science (An Introduction to Statistical Learning Methods with R)

By Daniel D. Gutierrez

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Machine Learning for Neuroscience (A Systematic Approach)

By Easttom, Chuck

Machine Learning for Neuroscience (A Systematic Approach)

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Large Scale Machine Learning with Python

By Bastiaan Sjardin, Luca Massaron, Alberto Boschetti

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Python for Probability, Statistics, and Machine Learning

By Unpingco, José

Python for Probability, Statistics, and Machine Learning

By Unpingco, José

HK$640

Feature and Dimensionality Reduction for Clustering with Deep Learning (Unsupervised and Semi-Supervised Learning)

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Supervised Machine Learning for Text Analysis in R (Chapman & Hall/CRC Data Science Series)

By Hvitfeldt, Emil, Silge, Julia

Supervised Machine Learning for Text Analysis in R (Chapman & Hall/CRC Data Science Series)

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Supervised Machine Learning for Text Analysis in R (Chapman & Hall/CRC Data Science Series)

By Hvitfeldt, Emil, Silge, Julia

Supervised Machine Learning for Text Analysis in R (Chapman & Hall/CRC Data Science Series)

By Hvitfeldt, Emil, Silge, Julia

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Knowledge Guided Machine Learning (Accelerating Discovery using Scientific Knowledge and Data (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series))

By Anuj Karpatne, Ramakrishnan Kannan, Vipin Kumar

Knowledge Guided Machine Learning (Accelerating Discovery using Scientific Knowledge and Data (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series))

By Anuj Karpatne, Ramakrishnan Kannan, Vipin Kumar

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Data Science and Machine Learning for Non-Programmers (Using SAS Enterprise Miner (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series))

By Truong, Dothang

Data Science and Machine Learning for Non-Programmers (Using SAS Enterprise Miner (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series))

By Truong, Dothang

HK$860

Machine Learning for Computer and Cyber Security (Principle, Algorithms, and Practices (Cyber Ecosystem and Security))

By Brij B. Gupta, Quan Z. Sheng

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By Brij B. Gupta, Quan Z. Sheng

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Modern Multivariate Statistical Techniques (Regression, Classification, and Manifold Learning (Springer Texts in Statistics))

By Izenman, Alan Julian

Modern Multivariate Statistical Techniques (Regression, Classification, and Manifold Learning (Springer Texts in Statistics))

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1

Unsupervised Learning (A Dynamic Approach (IEEE Press Series on Computational Intelligence))

By Kyan, Matthew, Muneesawang, Paisarn, Kambiz Jarrah, Ling Guan

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Advanced Analytics with Pyspark (Patterns for Learning from Data at Scale Using Python and Spark)

By Tandon, Akash, Ryza, Sandy, Uri Laserson, Sean Owen

Advanced Analytics with Pyspark (Patterns for Learning from Data at Scale Using Python and Spark)

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Big Data, Data Mining, and Machine Learning (Value Creation for Business Leaders and Practitioners (Wiley and SAS Business Series))

By Dean, Jared

Big Data, Data Mining, and Machine Learning (Value Creation for Business Leaders and Practitioners (Wiley and SAS Business Series))

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Machine Learning (a Concise Introduction (Wiley Series in Probability and Statistics))

By Knox, Steven W.

Machine Learning (a Concise Introduction (Wiley Series in Probability and Statistics))

By Knox, Steven W.

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Google BigQuery (The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale)

By Lakshmanan, Valliappa, Tigani, Jordan

Google BigQuery (The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale)

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HK$463 Elsewhere ~~HK$545.76~~ Save HK$82.76 (15%)

Modern Multivariate Statistical Techniques (Regression, Classification, and Manifold Learning (Springer Texts in Statistics))

By Izenman, Alan J.

Modern Multivariate Statistical Techniques (Regression, Classification, and Manifold Learning (Springer Texts in Statistics))

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Machine Learning for Business Analytics (Concepts, Techniques and Applications with JMP Pro)

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