Bifalgorithm post

Let's decode the difference between data science, artificial intelligence, data analyst and data engineer in less than 60 seconds. What's the number after 5, 10, 15, 20? It's 25. If you predict this answer, it's called human prediction. If a mission predicts the answer, we call it as mission prediction. As the mission learns this pattern and makes prediction, we call it as machine learning. Now, what is this image? A cat. Again, the same machine predicts it. But the difference here is the input and image. So if the input is an image, video, audio or text, we call that type of machine learning as deep learning. Since this prediction is not done by human intelligence, but by created intelligence, it falls under the umbrella of artificial intelligence. To make this process happen, we need data to be supplied, processed, cleaned and explored. That part is called data science. Hope this is clear. Share this information to your friends who also want to understand these differences.

Let's decode the difference between data science, artificial intelligence, data analyst and data engineer in less than 60 seconds. What's the number after 5, 1…