Decision Trees, the popular and time-tested method of applying logic to complex problems, where the variables are many and the options specific and dependent, have an important role to play within Machine Learning. We will dedicate this paper to understanding why this reasonably humble technique has become such an important tool for data scientists.

very nice paper for getting kick start. also choice of data set (iris data set) for explanation is also good as it is a well known bench mark data set and easy to understand as well. keep it up

Do you remember those afternoons in school or college when the professor was trying to teach you about things you never thought you would use in adult life? I bet regression and statistical algorithms are on that list. Well, it turns out that, with the realization of the importance of extracting knowledge from data, these techniques play an important role in Machine Learning and Data Science.

This white paper clearly explained about different regression concept with different real time examples.

This article is on where to start with Machine Learning.

Thank you. Very good noticeable point. Artificial intelligence is the prerequisite of machine learning.

Before getting into the definition, let’s first understand why we need Machine Learning and how it came into existence.

Great work. Liked its flow and thanks for writing this down.Like I said The only difference is that earlier was used and known to very few people and it was very time consuming. I

Machine Learning Algorithm used most commonly and the Types of ML. Just a short-notes on these.

How many algorithms are really put in use? What are the best practices? a great note and points to reflect

Thinking about using a Machine Learning model? Get your hands dirty with a practical lesson on SKLEARN.

you'll need a problem statement, data to process and enough time to try different approaches without deadlines pressing on you. - Great point

Learn the significance of SQL in Data-Science and Machine Learning. And understanding the basics of SQL.

Together with Python and R, SQL is now considered to be one of the most requested skills in Data Science. - Absolutely agree

While millions of people are at risk of committing suicide, teens are often the most in distress. A number of solutions have been created to reach at-risk teens and help prevent them from taking their own lives. One of these is Crisis Text Line. However, the organization found that it required assistance in measuring interaction value and creating predictive models to help create positive outcomes in the future.

A number of solutions have been created to reach at-risk teens and help prevent them from taking their own lives. - Agree

An important part of the Data Science Foundation’s remit is enabling the flow of new ideas. As the foundation has a wide user base, active members benefit from the opportunity of peer review across many sub-disciplines. An example is Pivotal iQ, data science specialists and leaders in the field of propensity Modelling. They wanted to demonstrate how millions of micro data points can be connected to build a picture of customer opportunity. Publishing a white paper with the Data Science Foundation offered Pivotal iQ the opportunity to demonstrate to potential clients the tools they can offer to help them better understand the customer environment. In this article, we’ll shed more light on how Pivotal iQ implements Propensity Modelling to find customer opportunities in data. Hopefully, this case study will help you implement Propensity Modelling in your own business or research using the best industry standards embodied in Pivotal iQ tools.

implement Propensity Modelling in your own business or research using the best industry standards embodied in Pivotal iQ tools. - A very well written

This is a very basic introduction to different techniques currently used in machine learning (artificial neural networks, Particle Swarm Optimization, Evolutionary Algorithms, etc.).

neural networks, Particle Swarm Optimization, Evolutionary Algorithms - Thanks a topic to explore more