Machine Learning Executive Education Series Intro 2020
Ok seriously, what is Machine Learning?
How often do you click on a sponsored advertisement on Instagram, Facebook, YouTube or any other website?
How often do you spot an advertisement on your news feed when you haven’t even searched Google for it but only vaguely remember mentioning it to someone, and feeling completely freaked out?
People aren’t spying on you, bots are.
Machine learning is a data analytics technique that teaches computers to do what comes naturally to humans and animals: learn from experience.
The algorithms adaptively improve their performance as the number of samples available for learning increases.
Don’t get intimidated by the word “algorithm”.
An algorithm is a fancy word for a “step by step solution” or set of instructions.
Long Division is an example of an algorithm: when you follow the steps you get the answer.
Now, “deep learning” on the other hand is learning by example, not experience.
Deep learning is a key technology behind driverless cars, enabling them to recognize a stop sign or to distinguish a pedestrian from a lamppost.
It is the key to voice control in consumer devices like phones, tablets, TVs, and hands-free speakers.
Deep learning is getting alot of attention lately and for good reason.
It’s achieving results that were not possible before.
Recent advances in deep learning have improved to the point where deep learning outperforms humans in some tasks like classifying objects in images.
While deep learning was first theorized in the 1980s, it has only recently become useful because of the large amounts of data accrued and advances in computing power.
For example, driverless car development requires millions of images and thousands of hours of video. [Sets of examples and labels]
Feeling paranoid yet? As Elon Musk stated, “AI will be the best or worst thing ever for humanity.”
In current times, when every company and every individual is talking about AI and Data Science – fields which have no defined genesis and horizon, how can an individual be certain that he has all the skills required by the industry?
That is the thought which led to the conceptualization of Guardian Owl’s Findability Certified Professional (FCP) Program.
Aimed at establishing an industry standard for benchmarking Artificial Intelligence (AI) and Data Science skills, this program comprises of an online assessment of theoretical concepts, working knowledge of latest tools and algorithms and business problem solving abilities.
Whether you’re an executive seeking improvement opportunities or a data scientist aspirant looking to build your skillset arsenal, this is a certificate to consider.
The FCP certificate will distinguish you in the crowded job market and improve your employment prospects. Certified candidates will be offered an opportunity to become part of a Talent Pool with +7000 Data Scientists around the globe.
Candidates can receive part-time paid projects and internships upon certification completion in addition to selected candidates receiving letters of recommendation from Guardian Owl.
Interested in learning more about the certification process?
Email email@example.com and subscribe to our newsletter to be on the waitlist for our first round of executive enrollment.