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Leadership Strategy and Tactics

Leadership Strategy and Tactics

Jocko Willink

Graph Learning and Network Science for Natural Language Processing

Graph Learning and Network Science for Natural Language Processing

Muskan Garg, Amit Kumar Gupta, Rajesh Prasad

Laboratory Life: The Construction of Scientific Facts, 2/e

Laboratory Life: The Construction of Scientific Facts, 2/e

Bruno Latour & Steve Woolgar

Cuộc sống mong manh

Cuộc sống mong manh

Sandra Brown

Mặt Trời Rực Rỡ Nhất Ngày Đông - Tập 2

Mặt Trời Rực Rỡ Nhất Ngày Đông - Tập 2

Minh Hiểu Khê

Category: Data Science

Esri Advanced Guide to Python in ArcGIS

Esri Advanced Guide to Python in ArcGIS

Dave Crawford & Daniel Yaw & GISP Daniel Yaw

Exploring Modeling with Data and Differential Equations Using R

Exploring Modeling with Data and Differential Equations Using ...

John M. Zobitz

Lean Software Systems Engineering for Developers: Managing Requirements, Complexity, Teams, and Change Like a Champ

Lean Software Systems Engineering for Developers: Managing Requirements, ...

Doug Durham & Chad Michel

F# Deep Dives

F# Deep Dives

Tomas Petricek & Phillip Trelford

Big Data, Data Mining, and Machine Learning

Big Data, Data Mining, and Machine Learning

Jared Dean

Head First Data Analysis: A Learner's Guide to Big Numbers, Statistics, and Good Decisions

Head First Data Analysis: A Learner's Guide to Big Numbers, ...

Michael Milton

Observability Engineering: Achieving Production Excellence

Observability Engineering: Achieving Production Excellence

Charity Majors & Liz Fong-Jones & George Miranda

Deep Learning From Scratch: Building With Python From First Principles

Deep Learning From Scratch: Building With Python From First ...

Seth Weidman

Network Science: Analysis and Optimization Algorithms for Real-World Applications

Network Science: Analysis and Optimization Algorithms for Real-World ...

Carlos Andre Reis Pinheiro

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Designing Data-Intensive Applications: The Big Ideas Behind ...

Martin Kleppmann

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