Machine Learning Video Tutorials

Machine learning (ML) is a complex, multidisciplinary field. A subset of artificial intelligence, machine learning is one of today’s fastest-growing tech areas. As machine learning algorithms become increasingly popular for business, they impact our lives more than ever.

One popular method of learning ML is watching online video tutorials and seminars. These resources can help auditory and visual learners since they usually provide visual and audio elements. If you’re new to ML, consider reviewing some online videos about the field first.

This article will cover a range of videos, including what they teach and where to find them.

What is Machine Learning?

Machine learning (ML) is one of the best-known subcategories of artificial intelligence (AI). This complex and multidisciplinary field can require training in programming languages like Python, databases like MySQL, and natural language processing (NLP). Common careers that require machine learning skills include Machine Learning Engineers, Data Scientists, and Business Intelligence (BI) Analysts.

Machine learning is often associated with Python programming and data science. Supervised, unsupervised, and reinforcement learning are the top three models of ML algorithms. Popular uses of ML in daily activities include voice recognition tools like Siri, recommendation lists from Amazon or Netflix, and user engagement icons on platforms like Instagram and TikTok. 

Read more about what machine learning is and why you should learn it. 

What Can You Do with Machine Learning?

Machine learning algorithms dominate today’s internet. Websites gather information based on everything you do online, from your search patterns to previous purchases, social media posts, and whether or not you abandon a product in a cart. As ML algorithms continue to influence our personal and professional lives, more and more businesses use them to streamline processes and determine customer and client journeys. The following are a few of the most popular machine learning applications.

• Social media - Meta Platforms (formerly Facebook) was one of the first well-known companies to use ML to measure user activities. Examples of how they analyze statistical activity include their user engagement, chatbots, and content filtering features. Other top social media platforms using ML extensively include Twitter, Pinterest, and TikTok.

• Product Recommendations - If you’ve ever bought a product from Amazon or subscribed to a streaming service, you’ve probably seen the You May Like feature. Companies ranging from Apple to Netflix use machine learning algorithms to customize your experience.

• Natural Language Processing (NLP) involves text analytics and functions combined with machine learning. Analyzing text includes basic steps like identifying the language and more complex steps like syntax parsing and sentiment analysis. ML is essential to text analytics and NLP solutions.

Why Are Video Tutorials Helpful When Learning Machine Learning?

Machine learning is essential for many sectors, from data science to finance. If you want to combine exciting work with a rewarding challenge, consider studying machine learning.

Video tutorials and seminars provide one of the easiest starting points for those new to the ML field—especially those unfamiliar with machine learning basics. Take a look at the three most common learning styles to understand how videos can be important resources.

• Visual - Visual learners typically gravitate toward video, and they tend to benefit the most from online tutorials and seminars. Those who prefer to read can also reap the rewards of blog posts or other online articles to start learning about machine learning. Many learners also feel their learning style is a hybrid of visual and auditory, perfect for video.

• Auditory - Video tutorials and seminars generally benefit auditory learners nearly as much as visual learners. Auditory learners usually appreciate the option to pause and relisten to material, sometimes even choosing to listen while exercising or doing other activities to reinforce lessons.

• Kinesthetic - Kinesthetic or tactile learners typically learn best through hands-on training. They can still benefit from video training, especially live online bootcamps or certificate programs. Video seminars sometimes include hands-on exercises as well.

A few other benefits of video training to consider:

• You can pause or rewatch them as many times as you want.
• They’re free.
• You can follow along with the video in real-time.

Types of Machine Learning Videos

If you’re looking for videos about machine learning, you’ll find plenty of options available to learn about it. Online video resources about artificial intelligence and machine learning range from short videos on ML fundamentals to in-depth classes. These offer students an easy-to-follow introduction to the field.

Noble Desktop hosts numerous video resources on its website, including introductory material on Python. This open-source programming language is essential to many machine learning pros, from Database Engineers to Natural Language Processing (NLP) Specialists.

The Intro to Python Fundamentals video is an online seminar that can be the perfect introduction to this essential tool. If you don’t already have Python programming under your belt, consider starting here before you delve further into machine learning.

Noble Desktop offers several tutorials on related topics alongside their free live and archived Python seminars. Check out the Intro to SQL seminar, which is of particular interest to Python data science students, or the Exchanging Excel for Python seminar.

Why Learn Machine Learning?

Machine learning programs have become so common that you most likely interact with them daily. Consider Amazon’s “Compare Similar Items” feature, the “Because You Watched” recommendations on Netflix, and the recommended reels on your Instagram feed. All of these tools come from machine learning algorithms.

If you’re planning to start a career in data science or analytics, ML can be a core segment of your education. Anyone with a title like Data Scientist or Data Engineer should be familiar with machine learning concepts. A Machine Learning Engineer or Machine Learning Architect must have a specialized skill set in subjects like deep learning, data modeling, and natural language processing (NLP).

Read more about why you should learn machine learning. 

How Difficult is It to Learn Machine Learning?

Studying machine learning (ML) can be a lifelong pursuit. The challenges of learning this topic depend on how much you need to learn and where you will apply it. 

You may have more challenges learning ML if you lack experience with algorithms or have little familiarity with programming languages like Python. Consider learning these through a course that features them or includes them as part of a broader computer or data science curriculum.

Machine learning training costs range from free to around about $1,895 to $4,495 for a bootcamp or certificate program. Some of these courses include intensive ML training and can be completed in a few months or weeks.

Read about how difficult it is to learn machine learning.

Learn Machine Learning with Hands-on Training at Noble Desktop

Noble Desktop offers a variety of bootcamps and certificates that feature machine learning, both in-person and live online via teleconferencing. Some include Python as a focus, others include machine learning as part of a broader data science curriculum, and others cover ML in a FinTech curriculum. All bootcamps and certificate programs feature small class sizes to maximize personal attention from expert instructors.

• Data Science Certificate - Noble’s Data Science Certificate program teaches participants data science fundamentals before advancing through machine learning, Python for automation, and Structured Query Language (SQL). This immersive certificate is open to beginners; you can retake it for up to one year at no additional charge.

• Python Machine Learning Bootcamp - Programmers already comfortable with Python and its data science libraries can get their machine learning training as part of the Python Machine Learning Bootcamp. Attendees can save by taking this shorter course as part of the Data Science Certificate program.

• Python Data Science & Machine Learning Bootcamp - This comprehensive bootcamp combines the same ML and Python training modules as the Data Science Certificate but does not include the Structured Query Language (SQL) bootcamp. It’s open to beginners and designed to prepare students for entry-level Python engineering or data science positions. 

For more information on Noble Desktop’s data science classes, including machine learning, check out all their full-time and part-time data science programs.