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Dominic

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#2

Machine Learning Projects for Mobile Applications: Build Android and iOS applications using TensorFlow Lite and Core ML

2018 • 1 Reader • 240 pages

#3

Hands-on Machine Learning for Cybersecurity

2018 • 1 Reader • 424 pages

#4

Reinforcement Learning Algorithms with Python: Learn, understand, and develop smart algorithms for addressing AI challenges

2019 • 1 Reader • 356 pages

#5

Machine Learning Algorithms: A reference guide to popular algorithms for data science and machine learning

2017 • 1 Reader • 360 pages

#6

Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python

2018 • 1 Reader • 668 pages

#7

Cover 6

1 Reader

#8

Cover 5

1 Reader

#9

Hands-On Unsupervised Learning with Python: Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more

2019 • 1 Reader • 375 pages

#10

Python Reinforcement Learning Projects: Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow

2018 • 1 Reader • 287 pages

#11

Python Machine Learning

2019 • 8 Readers • 618 pages • 4

#12

Python Machine Learning Blueprints: Put Your Machine Learning Concepts to the Test By Developing Real-World Smart Projects

2019 • 1 Reader • 378 pages

#13

Cover 1

1 Reader

#14

Maximizing Benefits from IT Project Management: From Requirements to Value Delivery

2011 • 1 Reader • 321 pages

#15

Leading Virtual Project Teams: Adapting Leadership Theories and Communications Techniques to 21st Century Organizations

2013 • 1 Reader • 215 pages

#16

PMI-PBA® Exam Practice Test and Study Guide

2017 • 1 Reader • 424 pages