Photo by Unlocking the Power of Artificial Intelligence: A Beginner’s Guide
Artificial intelligence has come to be a transformational force in reshaping industries and thereby transforming everyday life. From autonomous cars to streaming service recommendations, the use of AI in various fields is huge, and it touches many aspects of human life. Learning AI brings mega career opportunities and equips one with a most-needed technological skill that is effectively remolding the future.
Caption: The rapidly growing field of Artificial Intelligence
Mastering AI has a range of benefits, which makes it an attractive field for study and practice. The demand for AI specialists becomes ever-larger in such industries as healthcare, finance, automotive, and entertainment. These industries are asking and seeking AI competencies increasingly to innovate new ways of improving the business and making it more effective; then, this results in many job opportunities.
AI makes machines learn from the data given, adapt to new input, and perform activities that typically require human intelligence. Its capabilities have thus led to various developments: robotics, natural language processing, computer vision, amongst others, which allow for groundbreaking experiments in other industries as well.
Skills Needed in AI
You will find a mix of technical and analytical skills as one master’s AI. One will have to be well-versed in programming languages like Python, R, or Java through which they will apply AI algorithms to manipulate data and use these manipulated data to build applications. A solid foundation in topics of mathematics, such as calculus, linear algebra, and probability, is necessary for understanding AI algorithms and their ability to be optimized.
The application of machine learning techniques, algorithms, and frameworks is basic to the development of AI-based models that learn and improve with experience. Knowledge of the industry or application area are important, but in order to be able to adapt solutions, one really needs; in order to solve the domain-specific challenges, the AI developer needs deep domain knowledge.
YouTube Channels for Learning Artificial Intelligence
- 3Blue1Brown
3Blue1Brown is a very well-known top YouTube channel to learn artificial intelligence when it comes to his visually intuitive explanations for understanding complicated mathematical concepts, which form a core underpinning to most AI algorithms. Through captivating animations, the channel is able to break down highly abstract concepts such as linear algebra and calculus in order to be understandable to any level of learner.
Follow 3Blue1Brown to get introduced to fundamental mathematics that supports AI algorithms: matrix methods, differential equations, and probability theory. The latter not only forms the core of understanding machine learning models, but also the techniques of optimizing such models.
Caption: 3Blue1Brown’s channel is perfect for beginners
- Siraj Raval
Siraj Raval is making practical AI tutorials, coding challenges, and insights to the cutting edge of AI research. His approach makes hard-to-grasp AI concepts more approachable through hands-on projects and community engagement in order to democratize AI education.
Siraj Raval teaches everything from the basics to advanced AI strategies. You’ll also be able to master some machine learning algorithms, learn neural networking, and go to the extent of getting AI into some real-world apps through his tutorials, which carry code snippets in Python throughout, allowing you to develop hands-on AI skills.
- Stanford University - School of Engineering
The lectures and seminars by distinguished professors at Stanford talk of AI, machine learning, deep learning, and the likes. The content reflects the academic superiority and research momentum at Stanford in the area of AI.
You can gain access to Stanford’s lectures on the latest innovations in AI research and its applications. Learn about advanced machine learning algorithms, deep neural networks, natural language processing, computer vision, and more. They also cover the ethical and societal impact of AI technologies.
- Two Minute Papers
For conference or journal publications, or even those shared on arXiv, Two Minute Papers encapsulates the latest AI research papers into no more than two-minute videos. This YouTube channel to learn artificial intelligence views the digital platform as providing a potential avenue to democratize very specialized knowledge in AI, machine learning, and computer graphics, making it more accessible and understandable than it has ever been.
In Two Minute Papers, you are going to learn about the most recent developments in AI and the breakthroughs that are happening. The summaries serve to inform you about novel algorithms, extraordinary models, and practical implications. This is the YouTube channel to learn artificial intelligence where you want to stay up-to-date with state-of-the-art AI information.
- Sentdex
Content: Sentdex is one of the YouTube channels to learn artificial intelligence where real machine learning development using Python is chronicled. This channel covers everything from very basic algorithms to advanced ones, combined with practical examples and coding walk-throughs.
Sentdex has a well-laid-out learning path deep into machine learning and AI development using Python. Learn how to preprocess data, build predictive models, deploy machine learning solutions, and integrate AI applications. The tutorials are structured to empower your foundational skills and advance your proficiency in AI programming.
Uday Shankar: A 15-Year-Old AI Whiz
Meet Uday Shankar, a 15-year-old boy who runs an AI startup in Kerala’s Kochi. Uday has developed an app for blind people to use public places, 3rdAI, which is available for free download. The Multitalk Avatar can create 3D images using AI from any photo. By downloading the app, you can create anybody you like and communicate with them using the AI talk bot.
Caption: Uday Shankar, a 15-year-old AI whiz
Uday’s tryst with robotics started during the summer holidays after Class 4. His mom told him either he should go for swimming or robotics courses. He chose robotics. That’s why he got into all this technology stuff. Once the pandemic started, he learned Python programming online from an assistant professor in an institute. And then, by 2021-22, he got interested in app development and he got into all of this. The company was started in 2020.
R Tutorials for Data Science
Searching for R tutorials by task, topic, or package? Many include videos. In the table below, you can easily search all the tutorials by task, general topic, and specific R packages.
Some examples:
- ggplot and other R data visualizations
- Do you need to make static plots with R? Interactive graphs? Animations? Search below for terms such as ggplot, dataviz, and color.
- You’ll get results such as Add color to ggplot2 visualization with the ggtext package, How to create interactive visualizations and linked interactive graphics with ggiraph, and How to use built-in R colors and external palettes.
- Microsoft
- See how to get more out of Microsoft Office by pairing it with R, including how to generate PowerPoint slides from R, send Outlook email from R, or create Word documents from R or Python with Quarto.
