Artificial intelligence (AI) is a rapidly growing field that has the potential to revolutionize many industries and change the way we live and work. If you’re interested in learning about AI, you may be wondering where to start. Here are some options for learning about AI and keeping up with the latest developments in the field:
- Online courses: There are many online courses and MOOCs (massive open online courses) available that cover a wide range of topics related to AI. Some popular platforms for finding AI courses include Coursera, edX, and Udacity. These courses range from beginner-level introductions to more advanced topics and often include interactive exercises, quizzes, and projects to help you learn. Many of these courses are taught by professors from top universities or industry experts, so you can be sure you’re getting high-quality education.
- Books: There are many books available that provide an introduction to AI and its applications. Some popular books for beginners include “Artificial Intelligence: A Modern Approach” by Stuart Russell and Peter Norvig and “Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville. These books provide a comprehensive overview of the field and cover the key concepts and techniques used in AI.
- Conferences and workshops: Attending conferences and workshops is a great way to learn about AI from experts in the field and network with other professionals. Some popular conferences in the AI field include the International Conference on Machine Learning and Data Mining (ICML), the Conference on Neural Information Processing Systems (NeurIPS), and the Association for Computational Linguistics (ACL) conference. Many conferences and workshops also offer tutorials and workshops for attendees who want to dive deeper into specific topics.
- Online communities: There are many online communities where you can learn about AI and connect with other professionals in the field. Some popular options include the Machine Learning subreddit, the AI Stack Exchange, and the AI section of the online forum Kaggle. These communities are great places to ask questions, share resources, and get feedback on your work.
- Research papers: Reading research papers is a great way to learn about the latest developments in AI and stay up-to-date on the field. Some popular venues for publishing AI research include the Journal of Artificial Intelligence Research (JAIR) and the Conference on Computer Vision and Pattern Recognition (CVPR). Many research papers are available for free on the web, and you can find them by searching for the name of the conference or journal and the year the paper was published.
- Industry events: Many companies in the AI field hold events and workshops to showcase their work and share their expertise with others. Attending these events is a great way to learn about the latest products and technologies in the field and network with professionals from leading companies.
In conclusion, there are many ways to learn about AI, whether you’re just starting out or are looking to deepen your knowledge of the field. Online courses, books, conferences, online communities, research papers, and industry events are all great options for learning about AI and staying up-to-date on the latest developments. Whatever your goals and interests, there is likely a learning resource out there that can help you achieve them.
AI Courses Online
Take the time to become familiar with what modern AI can do. The TechCode Accelerator offers its startups a wide array of resources through its partnerships with organizations such as Stanford University and corporations in the AI space. You should also take advantage of the wealth of online information and resources available to familiarize yourself with the basic concepts of AI. Tang recommends some of the remote workshops and online courses offered by organizations such as Udacity as easy ways to get started with AI and to increase your knowledge of areas such as ML and predictive analytics within your organization.
The following are a number of online resources (free and paid) that you can use to get started:
- Udacity’s Intro to AI course and Artificial Intelligence Nanodegree Program
- Stanford University’s online lectures: Artificial Intelligence: Principles and Techniques
- edX’s online AI course, offered through Columbia University
- Microsoft’s open-source Cognitive Toolkit (previously known as CNTK) to help developers master deep-learning algorithms
- Google’s open-source (OS) TensorFlow software library for machine intelligence
- AI Resources, an open-source code directory from the AI Access Foundation
- The Association for the Advancement of Artificial Intelligence (AAAI)’s Resources Page
- MonkeyLearn’s Gentle Guide to Machine Learning
- Stephen Hawking and Elon Musk’s Future of Life Institute
- OpenAI, an open industry and academia-wide deep-learning initiative