Top 10 YouTube Channels To Follow For AI Related Information !

Top 10 YouTube Channels To Follow For AI Related Information

What is Artificial Intelligence (AI)?

A field of computer science called artificial intelligence (AI) enables machines or computer systems to perform tasks by imitating human intelligence. These devices can provide a reason, judge, and come up with solutions like a human mind.

Numerous sectors heavily rely on AI, including security, retail, manufacturing, and analysis. Elon Musk has shown technological singularity in artificial intelligence and is a great innovator.

Making predictive models is the main objective of Artificial Intelligence (AI), a profession that combines statistics and software development. The rate of global change has accelerated due to artificial intelligence. We need to know how to interpret data and draw decisions because it is expanding exponentially.

Here is 'the top 10 youtube channels to follow for AI-related information'. It's an excellent resource for news, the newest trends, and a quick way to pick up new abilities.

10. Kaggle

You can discover the Kaggle community, learn, and work on data science projects on the Kaggle channel on YouTube . The channel's videos feature lectures, wise counsel, and discussions with data scientists.

This is one of the leading artificial intelligence YouTube channels for anyone looking to experiment, learn new things, and use what they have learned in their work, regardless of their industry.

9. Springboard

Data science is the main topic on the Springboard channel. A playlist on women in data science features fascinating conversations with ML experts, deep dives, or quick tutorials. There are also data science and machine learning talks with leading business professionals.

This machine learning YouTube channel is fantastic for those interested in finding out how to apply for jobs, what to look for, and what it's like to work in data science.

8. Arxiv Insights

Xander Steenbrugge is the Arxiv Insights channel's manager. Technically speaking, he simplifies his key ideas while making them accessible to a larger audience.

The channel is well-known for its intriguing content, even though the author only occasionally uploads videos. Assume you have an interest in technical analyses of ML and AI. If so, you're in the right place, but you'd like a lovely explanation of the complex and technical topics.

7. Grant Sanderson

2015 saw Sanderson graduate with a mathematics bachelor's degree from 美国斯坦福大学 . Before giving his full attention to 3Blue1Brown, he produced videos and articles about multivariable calculus for Khan Academy as part of their content fellowship programme from 2015 to 2016.

The mathematics YouTube channel 3Blue1Brown was started and is run by Grant Sanderson. The track focuses on "inventing math," as described by Sanderson, which is the process of inquiry-based learning and discovery in higher mathematics. As of November 2022, the channel had 4.85 million subscribers.

The focus of 3Blue1Brown videos is on math visualization, covering more abstract subjects like computer science and physics and more fundamental ones like number theory and topology. Grapher for macOS and Sanderson's Manim Python animation library are used to create most of the visuals, but some also come from other programmes. Videos from the channel have been featured in Quanta Magazine, ABC News, and Popular Mechanics.

Sanderson has made podcast appearances on Siraj Raval, Numberphile, Lex Fridman, the Art of Problem Solving, and Showmakers. In February 2022, Sanderson concluded that CRANE was the best World starting word. Subsequently, he acknowledged that the programme he created to select the best starting word had a flaw.

6. Siraj Raval

In addition to being the best-selling author of "Decentralized Applications" on YouTube, Siraj serves as the chief data scientist at O'Reilly. He is the fifth most followed developer on GitHub , where 32 million users have registered. He spent several years working in Silicon Valley as a software engineer for Meetup, CBS Interactive, and Twilio after completing his studies in computer science at Columbia University.

He later created the most well-known AI/ML YouTube channel, with over 712,000 subscribers and 100 million views. His former clients include the White House, the United Nations , Elon Musk, 谷歌 , 亚马逊 , 英特尔 , and 英伟达 . He is passionate about cryptocurrencies, robotics, bioinformatics, quantum computing, and data science. Outside of work, Siraj enjoys MMA combat, snowboarding, gardening in greenhouses, and keeping chickens.

5. Deep Learning TV

This YouTube channel features interviews with prominent figures in deep learning, reviews of software libraries and applications, and how-to videos. The study of Deep Learning, which instructs computers to perceive the world, is the focus of DeepLearning.TV. Starting with a series that demystifies Deep Learning, the channel covers topics like How To's, reviews of software libraries, and interviews with influential figures in the industry. The track also shows that Deep Learning is simpler than you think through a series of concept videos illustrating the logic behind each Deep Learning method.

4. The Artificial Intelligence Channel

In addition to videos on technological singularity, transhumanism, anti-ageing, synthetic biology, space exploration, technological unemployment, basic income, and other topics, this channel primarily focuses on the future of artificial intelligence.

The term "artificial intelligence" is broad and has numerous subfields. Many different types of people are interested in the subject of AI. It might be about statistics, machine learning, math, or even the moral application of AI.

However, nothing compares to the genuine satisfaction of using a free, open-source platform like YouTube to learn new things.

3. Sentdex

This is among the best YouTube channels to learn about machine learning if you like to start from scratch.

Owner of the Sentdex YouTube channel Harrison Kinsley instructs viewers on various technologies, including Python programming, web development, machine learning, and more.

You should watch the following series by Harrison Kinsley if you want to learn how each algorithm's workflow functions, such as how bias and intercept are updated at each epoch or how to implement a specific machine learning algorithm from scratch.

2. Jeremy Howard

Data scientist with a philosophical background, Jeremy Howard. But out of curiosity, he combined his knowledge of statistics and programming to produce the most effective and approachable framework for deep learning tasks.

Assume you want to develop the most effective and efficient deep-learning models for image segmentation, classification, and restoration. The best choice in that situation is fast.ai. Before fast.ai, building deep learning models was more complex.

You should binge-watch the following series to understand deep learning better using the fast.ai library.

1. Lex Fridman Podcast

One of the most well-liked and successful artificial intelligence YouTube channels is Lex Fridman Podcast. Its host is an expert in machine learning, human-robot communication, and autonomous vehicles, who works at MIT and other institutions.

All things AI and ML are discussed by Lex and his guests. He is not constrained to this particular theme, though. He also covers a range of subjects that will enlighten, motivate, and inspire you to push yourself past your comfort zone.

The best stars, thinkers, and scientists in machine learning share their insights. In addition to many others, he spoke with Elon Musk, Andrew Ng, Vladimir Vapnik, Nick Bostrom, Yann LeCun, and Matt Botvinick.

Without a doubt, a career in AI is worthwhile. AI-focused computer scientists receive a competitive salary and benefits package. As a result, graduates in computer science are in high demand for jobs in artificial intelligence. The popularity of AI careers is rising as technology develops.