Artificial intelligence touches nearly every part of your day. While you may initially assume that technology such as smart speakers and digital assistants are the extent of it, AI has in fact rapidly become a general-purpose technology, reverberating across industries including transportation, healthcare, financial services, and many more. In our modern era, an understanding of AI and its possibilities for your organization is essential for growth and success.
Artificial Intelligence Basics has arrived to equip you with a fundamental, timely grasp of AI and its impact. Author Tom Taulli provides an engaging, non-technical introduction to important concepts such as machine learning, deep learning, natural language processing (NLP), robotics, and more. In addition to guiding you through real-world case studies and practical implementation steps, Taulli uses his expertise to expand on the bigger questions that surround AI. These include societal trends, ethics, and future impact AI will have on world governments, company structures, and daily life.
Google, Amazon, Facebook, and similar tech giants are far from the only organizations on which artificial intelligence has had—and will continue to have—an incredibly significant result. AI is the present and the future of your business as well as your home life. Strengthening your prowess on the subject will prove invaluable to your preparation for the future of tech, and Artificial Intelligence Basics is the indispensable guide that you've been seeking.
What You Will Learn
Study the core principles for AI approaches such as machine learning, deep learning, and NLP (Natural Language Processing) Discover the best practices to successfully implement AI by examining case studies including Uber, Facebook, Waymo, UiPath, and Stitch Fix Understand how AI capabilities for robots can improve business Deploy chatbots and Robotic Processing Automation (RPA) to save costs and improve customer service Avoid costly gotchas Recognize ethical concerns and other risk factors of using artificial intelligence Examine the secular trends and how they may impact your business
Who This Book Is For
Readers without a technical background, such as managers, looking to understand AI to evaluate solutions.

lgrsnf/Apress - Artificial Intelligence Basics 2019.pdf

zlib/Computers/Tom Taulli/Artificial Intelligence Basics. A Non-Technical Introduction_5224326.pdf

Taulli, Tom

Apress, Incorporated

United States, United States of America

1st ed. 2019, Berkeley, CA, 2019

0

lg2394389

Contents......Page 3
Foreword......Page 4
Intro......Page 6
1 AI Foundations......Page 10
Alan Turing &the Turing Test......Page 11
Cybernetics......Page 14
The Origin Story......Page 15
Golden Age of AI......Page 17
AI Winter......Page 20
Rise & Fall of Expert Systems......Page 21
Neural Networks & Deep Learning......Page 23
Technological Drivers of Modern AI......Page 24
Structure of AI......Page 25
Key Takeaways......Page 26
2 Data......Page 27
Data Basics......Page 28
Types of Data......Page 29
Big Data......Page 31
Databases & other Tools......Page 33
Data Process......Page 36
Ethics & Governance......Page 43
More Data Terms & Concepts......Page 44
Conclusion......Page 45
Key Takeaways......Page 46
3 Machine Learning......Page 47
What is Machine Learning?......Page 49
Standard Deviation......Page 50
Bayes Theorem......Page 51
Correlation......Page 52
Feature Extraction......Page 53
What can you do with ML?......Page 54
The ML Process......Page 56
Applying Algorithms......Page 58
Common Types of ML Algorithms......Page 62
Naïve Bayes Classifier (Supervised Learning/Classification)......Page 63
K-Nearest Neighbor (Supervised Learning/Classification)......Page 65
Linear Regression (Supervised Learning/Regression)......Page 66
Decision Tree (Supervised Learning/Regression)......Page 68
Ensemble Modelling (Supervised Learning/Regression)......Page 69
K-Means Clustering (Unsupervised/Clustering)......Page 70
Conclusion......Page 73
Key Takeaways......Page 74
4 Deep Learning......Page 76
Difference btw Deep Learning & Machine Learning......Page 77
What is Deep Learning?......Page 78
The Brain & Deep Learning......Page 79
Artificial Neural Networks (ANNs)......Page 80
Backpropagation......Page 81
Various Neural Networks......Page 83
Deep Learning Applications......Page 87
Deep Learning Hardware......Page 90
When to use Deep Learning?......Page 91
Drawbacks with Deep Learning......Page 93
Key Takeaways......Page 96
5 Robotic Process Automation (RPA)......Page 98
What is RPA?......Page 100
Pros & Cons of RPA......Page 101
What can you expect from RPA?......Page 103
How to implement RPA......Page 104
RPA & AI......Page 107
Conclusion......Page 108
Key Takeaways......Page 109
6 Natural Language Processing (NLP)......Page 110
Challenges of NLP......Page 112
How AI translates Language......Page 113
Voice Recognition......Page 118
NLP in real World......Page 119
Voice Commerce......Page 123
Virtual Assistants......Page 125
Chatbots......Page 126
Conclusion......Page 130
Key Takeaways......Page 131
7 Physical Robots......Page 132
What is Robot?......Page 133
Industrial & Commercial Robots......Page 135
Robots in real World......Page 140
Humanoid & Consumer Robots......Page 142
3 Laws of Robotics......Page 144
Programming Robots for AI......Page 145
Future of Robots......Page 147
Key Takeaways......Page 148
8 Implementation of AI......Page 150
Approaches to implementing AI......Page 151
Steps for AI Implementation......Page 153
Identify Problem to solve......Page 154
Right Tools & Platforms......Page 157
Deploy & monitor the AI System......Page 163
Key Takeaways......Page 165
9 Future of AI......Page 167
Autonomous Cars......Page 168
US vs China......Page 172
Technological Unemployment......Page 173
Weaponization of AI......Page 175
Drug Discovery......Page 176
Government......Page 178
AGI (Artificial General Intelligence)......Page 179
Social Good......Page 180
Key Takeaways......Page 181
AI Resources......Page 183
Glossary......Page 185
Index......Page 191

2019-08-02