### Common Data Capturing Types and Tools

ArticleVideo Book Introduction We saw the Data Science spectrum in the previous article, Common terminologies used in Machine Learning and Artificial Intelligence, but what …

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I am a data lover and I love to extract and understand the hidden patterns in the data. I want to learn and grow in the field of Machine Learning and Data Science.

ArticleVideo Book Introduction We saw the Data Science spectrum in the previous article, Common terminologies used in Machine Learning and Artificial Intelligence, but what …

ArticleVideo Book Introduction In the previous article- How to Split a Decision Tree – The Pursuit to Achieve Pure Nodes, you understood the basics …

ArticleVideo Book Introduction In this article, we’ll introduce you to various common terminologies used in the machine learning and artificial intelligence industry. Without any …

ArticleVideo Book Introduction In the last article, we understood the model checkpointing technique, which can be used in order to monitor the model performance …

ArticleVideo Book Introduction Deep learning is ubiquitous – whether it’s Computer Vision applications or breakthroughs in the field of Natural Language Processing, we are …

ArticleVideo Book Introduction Deep learning techniques are popularly used for unstructured data such as text data or image data. And before working on any …

ArticleVideo Book Introduction In a Neural Network, the Gradient Descent Algorithm is used during the backward propagation to update the parameters of the model. …

ArticleVideo Book Introduction Ensembling is nothing but the technique to combine several individual predictive models to come up with the final predictive model. And …

ArticleVideo Book Introduction If there is one area in data science that has led to the growth of Machine Learning and Artificial Intelligence in …

ArticleVideo Book Introduction We frequently use the term Probability but don’t realize how powerful this concept is. In simple terms, the probability is the …

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- 6 Easy Steps to Learn Naive Bayes Algorithm with codes in Python and R
- 30 Questions to test a data scientist on Linear Regression [Solution: Skilltest – Linear Regression]
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