How To Practice Machine Learning Online Course

A recent study revealed that 100 percent of subscribers prefer bi-lingual artificial intelligence tools over those only designed for languages that they understand. Both English and Spanish are widely spoken in the US but, for a number of reasons, it’s still hard to meet our AI needs as such.

How To Practice Machine Learning Online Course

Successful machine learning researchers often embrace their self-proclaimed role as soothsayers and forerunners. They predict some kind of surprising event — like the arrival of artificial intelligence or new apps — far in advance of the actual breakthrough, which they claim to observe close-up.

No matter where in the world they come from, these pioneers can be found in front of computer screens, chatting up colleagues and observing their counterparts in action. The desire to dissect and learn from each other’s experiences, along with studies that document the public’s interest in learning from others’ work, have culminated in the rise of the three predominant types of learning website:

Expert Marketplaces

These websites are less about giving the technology a face, and more about building customized learning communities. A popular example is CodeGlue, a massive open online course that lets users interact and learn from each other to perfect their skills in areas like computer programming, programming math, AI, and web design.

However, companies that offer large-scale public courses, such as CodeGlue, have a limited, limited reach. To reach prospective users on a much larger scale, machine learning experts need to distribute their learnings through data-driven algorithms that the creators control.

Algorithmic-driven websites aren’t an option just because the administrators of such sites have the computational power to create the kinds of artificial intelligence that the next generation of experts will learn from. Databases built on this data first need to be standardized, just like those of free-ranging computers.

Unlike machine learning projects run by humans, these algorithms analyze patterns in massive data sets and generate quantifiable results. Even people who aren’t computer science experts find it fun to experiment with these algorithms, and they’re able to import tools and datasets from any number of industries and use their results in the virtual environment.

Robots at work Photo: inset courtesy of

While most education websites are designed for online lectures and click-able tutorials, the machine learning community is especially vocal about mobile apps and mobile-centered learning.

In fact, the mobile phenomenon is so massive that even Amazon’s Jeff Bezos published a public letter to the world this fall emphasizing mobile services and the possibility of using mobile devices to further academic pursuits.

Think of apps as the counterparts to Evernote’s notes. Instead of using them to capture life events and historical documents, though, people upload their entire lives and daily minutiae. The list of public records accessible by using an app like Apple’s Siri is endless: schedule times and places; food preferences; clothing styles; music and radio stations; and so on.

Displaying all of this data in a virtual space does more than serve as a way for people to interact with professionals for verification of their work. It effectively creates a virtual classroom that’s now available to anyone with a smartphone, instead of just the people who can pay for a space.

All of this contextual data creates a future where accessing new knowledge may seem to be as simple as receiving new recommendations from retail and restaurant sites. Although you’ll need to check out the deep, data-driven meanings behind these recommendations, these sites benefit from generating algorithms that can sift through the mountains of data they have at their disposal.

Platforms such as Moodle—which are designed to create a cohesive community for people to go through real-world obstacles, such as homework and interviews—allow for this relationship to flourish. Although they offer plenty of useful info, they are only three of the many platforms that offer this kind of virtual learning.

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