This is a collection of 15 basic descriptive statistics key terms, explained in easy to understand language, along with an example and some Python code for computing simple descriptive statistics.
The role of the agent is always very important in artificial intelligence, machine learning, and deep learning. Learn more about agents here.
Check out this curated list of the most used data science terminology and get a leg up on your learning.
The 6 Python Machine Learning Tools Every Data Scientist Should Know About; The Complete Collection of Data Science Books - Part 1; Finding the Best IDE Software; 5 Ways to Double Your Income with Data Science; Operationalizing Machine Learning from PoC to Production
To be a data scientist, and especially to be a good one, you need these seven skills to do your job and stand out. These seven skills also transfer really well to other professions.
An ML system requiring thousands of tagged samples is fundamentally different from the mind of a child, which can learn from just a few experiences of untagged data.
This article will discuss 3 important reasons why teamwork is so crucial in real-world data science projects.
If you are looking to get into the field, you are probably looking for something that you are interested in, but also know that you have a nicely compensated salary. Read more here.
The book consists of 200 actionable Python insights with a detailed explanation of how to write elegant, compelling, and expressive code.
Most companies haven’t seen ROI from machine learning since the benefit is only realized when the models are in production. Here’s how to make sure your ML project works.
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