Search results for "Probability Statistics"

Statistics for Evaluating Machine Learning Models

Statistics for Evaluating Machine Learning Models

Tom Mitchell’s classic 1997 book “Machine Learning” provides a chapter dedicated to statistical methods for evaluating machine learning models. Statistics provides an important set of tools used at each step of a machine learning project. A practitioner cannot effectively evaluate the skill of a machine learning model without using statistical methods. Unfortunately, statistics is an […]

Continue Reading 10
Statistics Books for Machine Learning

Statistics Books for Machine Learning

Statistical methods are used at each step in an applied machine learning project. This means it is important to have a strong grasp of the fundamentals of the key findings from statistics and a working knowledge of relevant statistical methods. Unfortunately, statistics is not covered in many computer science and software engineering degree programs. Even […]

Continue Reading 28
crash course in statistics

Crash Course in Statistics for Machine Learning

You do not need to know statistics before you can start learning and applying machine learning. You can start today. Nevertheless, knowing some statistics can be very helpful to understand the language used in machine learning. Knowing some statistics will eventually be required when you want to start making strong claims about your results. In […]

Continue Reading 3
Learning Curves of Cross-Entropy Loss for a Deep Learning Model

TensorFlow 2 Tutorial: Get Started in Deep Learning With tf.keras

Predictive modeling with deep learning is a skill that modern developers need to know. TensorFlow is the premier open-source deep learning framework developed and maintained by Google. Although using TensorFlow directly can be challenging, the modern tf.keras API beings the simplicity and ease of use of Keras to the TensorFlow project. Using tf.keras allows you […]

Continue Reading 30
How to Choose Feature Selection Methods For Machine Learning

How to Choose a Feature Selection Method For Machine Learning

Feature selection is the process of reducing the number of input variables when developing a predictive model. It is desirable to reduce the number of input variables to both reduce the computational cost of modeling and, in some cases, to improve the performance of the model. Feature-based feature selection methods involve evaluating the relationship between […]

Continue Reading 33