AWS is a secure cloud platform that delivers on-demand computing power, database storage, applications, and other IT resources, through a cloud services platform via the internet with a pay-as-you-go pricing model. As of 2018, AWS dominates the cloud infrastructure services worldwide market with ~30% of the market share, compared to the trailing Microsoft (~15%) and Google (~5%), as per Canalys (https://www.canalys.com/static/press_release/2018/270418-cloud-infrastructure-market-grows-47-q1-2018-despite-underuse.pdf).
Machine Learning is a subset of Artificial Intelligence in the field of computer science that often uses statistical techniques to provide computers with the ability to learn with data without being programmed. Machine Learning explores the building and construction of algorithms that can learn from and make predictions about, data. The algorithms transcend static instructions and make data-driven predictions and decisions with a model from sample inputs.
Machine Learning is essential to learn in today's world, since it is an integral part of all industries' competitive and operational data strategies. More specifically, ML allows insights from Natural Language Processing (NLP) to power chatbots; fraud detection ML insights are used in the financial industry, and ML applications allow for efficient online recommendation engines, such as friend suggestions on Facebook, Netflix displaying movies, you probably like, and more items to consider on Amazon.
Artificial Intelligence is intelligence that's demonstrated by machines; more specifically, any device that perceives its environment and takes actions that increases its chance of successfully achieving its goals. Contemporary examples are understanding human speech, competing at the highest levels of strategic games (such as Chess and Go), and autonomous cars.
Artificial Intelligence is important because it adds intelligence to existing products. Products that are currently used will be further improved with AI capabilities, for example, Siri was added to the new generation of Apple products. Conversational chatbots can be combined with large amounts of data to improve technologies at home and in the office.
Overall, this chapter will provide you with the foundational knowledge of AWS to build sophisticated AI and ML applications in your projects. This will help you with the tools to identify free-tier AWS services. Thus, you will be able to use them exclusively, or integrate them to analyze data, build a conversational chatbot, store and process an incredible amount of data, and bring your ideas to fruition.
This chapter will introduce you to the AWS interface and help you learn how to store and retrieve data with Amazon Simple Storage Service (S3). You will apply your S3 knowledge by importing and exporting text data via the AWS Management Console and the CLI. You will also learn how to locate and test AI and ML services.