Machine Learning: Your Ultimate Guide on Machine Learning, Agile Project Management, and Hacking Audiobook By Robert Keane cover art

Machine Learning: Your Ultimate Guide on Machine Learning, Agile Project Management, and Hacking

A Three-Book Bundle

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Machine Learning: Your Ultimate Guide on Machine Learning, Agile Project Management, and Hacking

By: Robert Keane
Narrated by: Mike Davis
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Your ultimate guide on machine learning, agile project management, and hacking. This audiobook includes three manuscripts!

Machine Learning: Master the Three Types of Machine Learning

Machine learning is vital to the world of information technology. While many people may have no idea what machine learning is, they have probably used it sometime in their daily lives. For example, if you have ever done a search query on a search engine, you have worked with one form of machine learning. The program to do your search query has been trained to find the best results based on what you are looking for, and it will also learn from the choices that you make.

Inside you will find:

  • Understanding the basics of machine learning
  • Machine learning applications
  • How artificial intelligence and machine learning are different
  • Statistics and probability theory
  • Building blocks of machine learning
  • Formal statistical learning framework
  • PAC learning strategies
  • Generalization models in machine learning
  • Supervised and unsupervised machine learning
  • Support vector machines

Agile Project Management: Focus on Continuous Improvement, Scope Flexibility, Team Input, and Delivering Essential Quality Products

Agile project management has grown in popularity over the past several years. Change is occurring so fast that many organizations are unable to keep up with the demands of a changing global world. Your ability to quickly change and adapt to your environment will make or break, not only your career but could be the deciding factor as to whether your company survives in the coming years.

Inside you will find:

  • The benefits of agile for you and your organization
  • Agile strategy and making agile work within an organization
  • What is scrum and how to implement it
  • Explanation of ITIL and how it relates to agile
  • And an added bonus - the secret weapon

Hacking: Computer Hacking Mastery

The world of hacking has changed so much in recent years. New attacks are being made, and learning how to protect your system can be difficult than ever before. This guidebook has all the information that you need to learn about some of the most common attacks that are going on in the world today as well as some of the things that you can do to protect yourself.

Inside you will find:

  • The programming languages
  • Basic attacks to get started
  • The difference between adware, spyware, and malware
  • Man-in-the-middle attacks
  • How to successfully complete a wireless attack
  • Xmas-tree attacks
  • SQL injections
  • Backdoor and trojan attacks
  • Password cracking
©2017 Robert Keane (P)2018 Robert Keane
Machine Learning Project Management Computer Science Artificial Intelligence Software Development Data Science Technology Programming & Software Development Software Computer Security Security & Encryption
Excellent Theoretical Grounding • Comprehensive Coverage • Insightful Content • Simple Explanations • Foundational Material

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This book is perfectly organized, easy to understand, insightful and gives a big picture of how business intelligence is helping business to grow.Very Useful book for students as well as professionals.

professional guide

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A great book I would recommend to anyone. It covers the essentials and it has remained top ranked for more than a decade

great book

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I am using this textbook for a Machine Learning class. While my professor is excellent, I must say that this book is a welcome addition to class. It is so well explained that I actually enjoy listening it. The examples are well structured and it greatly helped me understand the material.

must listen this book

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This is a not practical guide, as many of the tools that are used now did not exist when this book was published, but provides an excellent theoretical grounding in how many popular machine learning models are constructed.

well illustrated

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It really is a classic work in the field. Very useful in covering the foundational material in machine learning

very knowledgable

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