AI Winter Is Coming. Only Computer Scientists Will Survive | FREE Courses for Computer Science 2020 | Summary and Q&A

TL;DR

Learn computer science for free to prepare for the AI Winter and enhance your skills as a data scientist or machine learning engineer.

Key Insights

• 💪 Deep learning has limitations, and it is essential to prepare for the AI Winter by having a strong foundation in computer science.
• 🥶 Free online resources, such as MOOCs and textbooks, offer an opportunity to learn computer science without enrolling in a university program.
• ❓ Starting from basic programming concepts and progressing to advanced topics like algorithms and data structures is crucial for a comprehensive understanding.
• 🖐️ Mathematics, including linear algebra, calculus, and probability, plays a significant role in AI and ML and should be included in the learning curriculum.
• 💦 Understanding computer architecture, operating systems, and networking is beneficial for working with AI and ML systems.
• 🉐 Learning how to debug software and gain proficiency in different programming languages can enhance problem-solving abilities.
• 🎰 Specializations like machine learning, data mining, and distributed systems can provide expertise in specific areas of computer science.

Transcript

a new AI Weiner is coming and only those with a strong foundation in computer science will survive find out the best resources to learn computer science for free in this video now I know what you're thinking you're thinking Phil how can you possibly know that an AI winter is coming and that's probably a valid objection I don't know when an AI winte... Read More

Questions & Answers

Q: Why is it important to learn computer science for AI and ML?

Computer science provides the foundational knowledge required to understand and apply AI and ML algorithms effectively. Without a strong understanding of computer science, it is challenging to solve problems and identify potential applications of AI and ML in different domains.

Q: Can I learn computer science for free online?

Yes, there are several resources available online, such as MOOCs and textbooks, that offer free courses in computer science. These resources cover a wide range of topics from introductory programming to advanced algorithms and data structures.

Q: How long does it take to complete a computer science curriculum?

The length of time required depends on factors such as your background knowledge and the amount of time you can dedicate to learning. The recommended curriculum mentioned in the video suggests that it can be completed in two years by studying 18 to 22 hours per week.

Q: Do I need to have prior knowledge of programming to learn computer science?

While some courses assume basic programming knowledge, there are resources available for absolute beginners as well. Starting from scratch can help in building a strong foundation in programming concepts and algorithms.

Q: Is learning computer science difficult?

Computer science can be challenging, but it is a valuable skillset to acquire. With dedication and consistent practice, anyone can learn computer science. It is especially important for those interested in AI and ML, as it provides a deeper understanding of the underlying principles.

Summary & Key Takeaways

• The video discusses the importance of learning computer science for those interested in artificial intelligence (AI) and machine learning (ML).

• It provides recommendations for free online resources to learn computer science, including MOOCs and textbooks.

• The curriculum covers various topics such as programming, algorithms, data structures, mathematics, computer networking, and software engineering.

• The video emphasizes the need for a strong foundation in computer science to excel in AI and ML and suggests starting from the basics even for experienced professionals.