Chapter 6 – Level 3: Become Adept in AI

Remember that there are three levels to responding to AI: adapt, adopt, and adept. It is suggested that you start with the first level, adaptation, as a top priority. It is recommended to skim through the chapter to get acquainted and then come back to it later when ready to act. The chapter highlights the importance of continuously learning to adapt and adopt AI, as well as staying involved with each level.

Additionally, this chapter mentions the emergence of AI helper platforms, such as DataRobot, IBM, Google, and Amazon. These platforms aim to make AI more accessible and can be useful in the process of learning and implementing AI. It is recommended to explore these platforms, keeping an eye on startups, and using tools like Google Alerts to stay updated on AI developments.

This chapter also emphasizes the connection between AI and machine learning, with machine learning being a core part of AI. Data science is highlighted as a field closely related to AI and machine learning, as it allows for the practical application of AI to various domains.

You should also watch educational videos on platforms like YouTube to learn about AI, machine learning, and deep learning. These videos can provide insights, inspiration, and a better understanding of these concepts.

There are several games and interactive platforms available that provide an engaging and effective way to learn data science and artificial intelligence. Some notable examples include AI Experiments by Google, which allows users to explore machine learning through various media, and the Neural Network Playground on TensorFlow's website.

Learning coding can also be facilitated by games and platforms dedicated to this purpose. Python, a popular programming language, can be particularly engaging for beginners, especially when used to develop simple games.

In addition to games, there are various apps and online learning platforms that can provide structured and interactive learning experiences in these fields. Coursera, Udacity, and Udemy offer various courses, some of which are free, on subjects ranging from AI and machine learning to basic programming and math. DataCamp offers a dedicated platform for learning data science, while Khan Academy provides free courses in math, programming, and more.

However, you should be taking a balanced approach to AI. While games and online platforms are helpful, having an instructor or mentor to guide the learning process can also be beneficial. This blend of self-guided online learning and mentorship can help beginners feel less intimidated and maintain their motivation.

In conclusion of this chapter we can celebrate our completion of the exploration of the three key levels of AI understanding: adapt, adopt, and adept. This chapter emphasizes the importance of continuing the learning journey. Just simply reading about AI is a good start, before moving on to adopting and becoming adept in AI.

Reference - Surfing the Tsunami