You might not realize, but almost all modern technologies that are being used have some form of artificial intelligence. Even for simple tasks such as going through a social media news feed, searching for a specific term on a search engine, buying from e-Commerce websites, or even while watching videos or listening to music online – artificial intelligence systems are working in the background to deliver the relevant information and enhance the user experience. For computer programmers and developers, there has been a huge increase in the demand for AI developers in recent years.
What is AI and Deep Learning
The concept of AI or artificial intelligence has been around since the mid-1970s, and have been used primarily for specialized tasks, requiring enormous computing power. However, with the advancement of semiconductor technology, artificial intelligence has become a mainstay in the software industry, and more and more companies are using artificial intelligence and deep learning to improve both customer experience as well as profitability.
Artificial intelligence, as the name suggests, is a generation of intelligent behaviour demonstrated by computers, compared to natural intelligence shown by humans and other animals. Deep learning is a subset of artificial intelligence where algorithms are used to “train” computing devices to learn and mimic intelligent behaviours.
AI is being increasingly used in a wide variety of fields – stock trading, facial recognition, text-to-speech conversion, real-time voice recognition and speech-to-text conversion, autonomous vehicular management, air and maritime traffic control, materials sciences and 3D printing, biotechnology and protein folding and so on.
How to Be an AI Developer
As an individual who wants to develop AI applications and systems, the person should have a good grasp of the fundamentals of classic computing programming skills. These skills include:
· Mathematical modelling including multivariate calculus, algebraic and derivative topology and partial differentiation.
· Python or R language
· Data Exploration and Visualization
· Understanding of database and data schema
The choice of the computing language is totally dependent on the learner, and these tasks can be accomplished using nearly all modern computing languages such as C++, Java, and Python. In addition, there are a large number of AI libraries including TensorFlow and Keras, available as open-source libraries.
AI Developer Resources
Almost all AI frameworks have a large amount of documentation available on the internet, with a large number of them available through development platforms such as Github. In addition, there are a large number of books available on Amazon for these topics. Some of these books are:
- Artificial Intelligence for Humans (3 Book Series) by Jeff Heaton
- Artificial Intelligence: A New Synthesis by Nils J. Nilsson
- Deep Learning: A Technical Approach to Artificial Intelligence For Beginners by Leonard Eddison
- Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras by Navin Manaswi
Other online resources include:
- Reddit AI forums
- Github libraries for AI systems built using PHP, Java, and TensorFlow.
As a pioneering field in computation and mathematics, artificial intelligence is already changing how we understand the world and what we can create. The huge demand in the field has become one of the hottest talent acquisition grounds for top-notch companies. So, get on your thinking cap and delve into the beautiful world of artificial intelligence – a tool that can help you change society on a grand scale!