taxnodes:Technology: Instructional Materials



Natural Language Processing with Deep Learning in Python

@machinelearnbot

In this course we are going to look at advanced NLP. Previously, you learned about some of the basics, like how many NLP problems are just regular machine learning and data science problems in disguise, and simple, practical methods like bag-of-words and term-document matrices. These allowed us to...


Learn how to become a computer programmer by taking some online courses

Mashable

Heads up: All products featured here are selected by Mashable's commerce team and meet our rigorous standards for awesomeness. If you buy something, Mashable may earn an affiliate commission. These days, it seems like everyone is learning to code. But it's not as easy as it seems to get started – t...



[P]I wrote a tutorial about Inverse Reinforcement Learning and three basic algorithms. More to follow. • r/MachineLearning

@machinelearnbot

This idea is really interesting. Sadly I don't have nearly enough linear algebra experience to understand the details though. Would IRL still be feasible if the state was not explicit? It seems like this technique depends on prior knowledge of the state machine, but from what I understand about deep reinforcement learning, the state may be very complex, and the value function could actually be a deep neural network.


A Gentle Introduction to Matrix Factorization for Machine Learning - Machine Learning Mastery

#artificialintelligence

Many complex matrix operations cannot be solved efficiently or with stability using the limited precision of computers. A Gentle Introduction to Matrix Decompositions for Machine Learning Photo by mickey, some rights reserved. Take my free 7-day email crash course now (with sample code). Click to...


Unsupervised Deep Learning in Python Udemy

@machinelearnbot

This course is the next logical step in my deep learning, data science, and machine learning series. I've done a lot of courses about deep learning, and I just released a course about unsupervised learning, where I talked about clustering and density estimation. So what do you get when you put these...


The Value of Exploratory Data Analysis

@machinelearnbot

From the outside, data science is often thought to consist wholly of advanced statistical and machine learning techniques. However, there is another key component to any data science endeavor that is often undervalued or forgotten: exploratory data analysis (EDA). At a high level, EDA is the practic...


Ensemble Machine Learning in Python: Random Forest, AdaBoost

@machinelearnbot

In recent years, we've seen a resurgence in AI, or artificial intelligence, and machine learning. Machine learning has led to some amazing results, like being able to analyze medical images and predict diseases on-par with human experts. Google's AlphaGo program was able to beat a world champion i...