Finding a beginner-friendly artificial intelligence book is the way to learn about this new technology. Artificial intelligence, or AI, has been slowly introduced to the general public in many ways such as through movies and social media over the years. So it only makes sense to be curious about this awesome new tech.
Well, we have listed beginner-friendly programmer books that focus on the development of artificial intelligence and machine learning. There is a huge push for more people in this industry and you’ll notice many companies hiring artificial intelligence specialists and the government offering business grants for new projects.
Below is our list of books about artificial intelligence and machine learning.
1. Machine Learning for Absolute Beginners
This is written by Oliver Theobald. It is a machine learning book designed to help the learner know how best to build artificial intelligence systems. This is achieved through its efforts to influence your decisions during the organization of projects involving machines.
2. Programming Collective Intelligence
This is commonly referred to as PCI and stands as the best book for beginners in this field. It is highly recommended, especially by re-known data scientists. It was written prior to the advent of the present-day material but the contents maintain their esteemed relevance even until this day.
3. Machine Learning for Hackers
Drew Conway and John Miles Whites’ Machine Learning for hackers is a book that finds its basis in data analysis in R. For this reason, it would serve best beginners who have some basic understanding of R. It tells about the use of the advanced version of R as explored in data wrangling. Through this book, readers will definitely appreciate the relevance of machine learning algorithms and applications.
4. Machine Learning
Tom M. Mitchell has created one of the best introductory books to machine learning as a concept, skill, and application. Through it, you will get a very informative overview concerning ML theorems together with pseudo-code summaries defining their algorithms. What is catchier is the use of examples to enhance the reader’s understanding of the algorithms.
5. The Elements of Statistical Learning
The Elements of Statistical Learning is a popular book written by Trevor Hastie. It explores diverse ML algorithms in a mathematical sense but from a statistical standpoint. This book brings out the world as a perfect place owing to machine learning and statistics by association.
6. Learning from Data
This is also another interesting book that prepares the reader and introduces them to fathom even the complex aspects of machine learning. Learning from Data was written by college professors, Yaser S. Abu-Mostafa and Malik Magdon-Ismail. This book was designed similar to a short college course, so the structured chapters will help you retain the information.
Our list of artificial intelligence books will assist in your journey to learning about the technology that will improve all of our computational systems. Machine learning and artificial learning are concepts that are preparing the world for the future. These niche programming books are useful for the growth of automation and security for the world. Some of the benefits in the lives of mankind just as much, pose a possible threat to the job security of mankind.
I’m Cartez Augustus, a content creator based in Houston, Texas. Recently, I’ve been delving into different content marketing niches to achieve significant website growth. I enjoy experimenting with AI, SEO, and PPC. Creating content has been an exciting journey, enabling me to connect with individuals who possess a wealth of knowledge in these fields.