Do the words “self-promotion” and “machine learning” even go together in a sentence? “When you’re good at something, you’ll tell everyone. When you’re great at something, they’ll tell you.”
“When you’re good at something, you’ll tell everyone. When you’re great at something, they’ll tell you.”
― Walter Payton
Let’s kick things off with a definition of self-promotion. I would like you to remember this definition at various point of this article.
Self-promotion is the act of exposing and showcasing your capabilities, achievement and actions through your voice.
People tend to shun the idea self-promotion, as there are ‘not so nice’ traits that are attributed to individuals who self promote, for example, arrogance, overconfidence, attention-seeking etc.
But let’s remember this is 2020, the world is noisier, and it’s easy for you to go unnoticed, regardless of how hard-working or talented you might be.
Don’t be afraid to shamelessly plug yourself. Just make sure you are doing it at the right time, the right place and to the right audience.
For example, I tend to shamelessly plug my weekly newsletter to machine learning practitioners for them to subscribe and receive friend links to my articles and other AI/ML content I create.
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Artificial Intelligence (AI) vs Machine Learning vs Deep Learning vs Data Science: Artificial intelligence is a field where set of techniques are used to make computers as smart as humans. Machine learning is a sub domain of artificial intelligence where set of statistical and neural network based algorithms are used for training a computer in doing a smart task. Deep learning is all about neural networks. Deep learning is considered to be a sub field of machine learning. Pytorch and Tensorflow are two popular frameworks that can be used in doing deep learning.
Artificial Intelligence, Machine Learning, and Data Science are amongst a few terms that have become extremely popular amongst professionals in almost all the fields.
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