Feature engineering is essential to applied machine learning, but using domain knowledge to strengthen your predictive models can be difficult and expensive. To help fill… Read More »Book: Mastering Feature Engineering
In the past year I have also worked with Deep Learning techniques, and I would like to share with you how to make and train a… Read More »Building Convolutional Neural Networks with Tensorflow
Importing Data in R a. Using the Combine Command As we know c() function is used to concatenate or combine items in R as specified… Read More »Importing Data in R
Machine Learning Applications Some of the machine learning applications are: 1. Image Recognition One of the most common uses of machine learning is image recognition. There are… Read More »Top 9 Machine Learning Applications in Real World
This article was written by Thomas Maydon. Maydon is the Head of Credit Solutions at Principa and has primarily been involved in consulting, analytics, credit bureau and… Read More »The 4 Types of Data Analytics
PostgreSQL is a commonly used database language for creating and managing large amounts of data effectively. Here, you will see how to: 1) create a… Read More »Create PostgreSQL Database In Linux And Connect To R
This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published.… Read More »12 Great Blogs Posted in the last 12 Months
The post is by Joseph Macwan. He is technical writer with a keen interest in business, technology and marketing topics. What Is Hadoop Distributed File… Read More »Top Hadoop Terms You Need to Know
Business dynamics are evolving with every passing second. There is no doubt that the competition in today’s business world is much more intense than it… Read More »Securing Competitive Advantage with Machine Learning
In ordinary linear regression, we are estimating the mean of some variable y, conditional on the values of independent variables X. As we proceed to fit… Read More »Quantile Regression in Python
