Deep Learning with Python Tap the Power of TensorFlow and Keras, Develop Your First Model, Achieve state-of-the-Art Results Why Are Deep Learning Models So Powerful? …the secret is “Representation Learning“ Deep learning techniques are so powerful because they learn the best way to represent the problem while learning how to solve the problem. This is […]
Search results for "Artificial Intelligence"
Naive Bayes for Machine Learning
Naive Bayes is a simple but surprisingly powerful algorithm for predictive modeling. In this post you will discover the Naive Bayes algorithm for classification. After reading this post, you will know: The representation used by naive Bayes that is actually stored when a model is written to a file. How a learned model can be […]
Deep Learning Books
There are not many books on deep learning at the moment because it is such a young area of study. There are a few books available though and some very interesting books in the pipeline that you can purchase by early access. In this post, you will discover the books available right now on deep […]
Logistic Regression for Machine Learning
Logistic regression is another technique borrowed by machine learning from the field of statistics. It is the go-to method for binary classification problems (problems with two class values). In this post, you will discover the logistic regression algorithm for machine learning. After reading this post you will know: The many names and terms used when […]
Parametric and Nonparametric Machine Learning Algorithms
What is a parametric machine learning algorithm and how is it different from a nonparametric machine learning algorithm? In this post you will discover the difference between parametric and nonparametric machine learning algorithms. Let’s get started. Learning a Function Machine learning can be summarized as learning a function (f) that maps input variables (X) to output […]
Find Your Machine Learning Tribe
Get Started And Avoid Getting The Wrong Advice Machine learning is a fascinating and powerful field of study filled with algorithms and data. The thing is, there are so many different types of people interested in machine learning, and each has different needs. It is important to understand what it is you want from machine learning […]
16 Options To Get Started and Make Progress in Machine Learning and Data Science
You want to learn machine learning or data science. You might want a job or the opportunity to get a job in machine learning or data science. Alternatively, you might be a student or in a data role and looking to accelerate your learning in the area. If you think your only options are to […]
Discover Feature Engineering, How to Engineer Features and How to Get Good at It
Feature engineering is an informal topic, but one that is absolutely known and agreed to be key to success in applied machine learning. In creating this guide I went wide and deep and synthesized all of the material I could. You will discover what feature engineering is, what problem it solves, why it matters, how […]
How To Get Better At Machine Learning
Colorado Reed from Metacademy wrote a great post recently titled “Level-Up Your Machine Learning” to answer the question he often receives of: What should I do if I want to get ‘better’ at machine learning, but I don’t know what I want to learn? In this post you will discover a summary of Colorado recommendations […]
Computer Hardware for Machine Learning
A question that comes up from time to time is: What hardware do I need to practice machine learning? There was a time when I was a student when I was obsessed with more speed and more cores so I could run my algorithms faster and for longer. I have changed my perspective. Big hardware […]