feature embeddings with structured datasets - A simple technique for boosting accuracy on ANY model you use
Feature embeddings are one of the most important steps when training neural networks on tabular data tables. Unfortunately, this technique is seldom taught outside of natural language processing (NLP) settings and is consequently almost completely ignored for structured datasets. But skipping this step can lead to significant drops in model accuracy! This has led to a false understanding that gradient boosted methods like XGBoost are always superior for structured dataset problems. Not only will embedding enhanced neural networks often beat gradient boosted methods, but both modeling methods can see major improvements when these embeddings are extracted. This article will answer the following questions:
This "Deep Learning vs Machine Learning vs AI vs Data Science" video talks about the differences and relationship between Artificial Intelligence, Machine Learning, Deep Learning, and Data Science.
Artificial Intelligence (AI) vs Machine Learning vs Deep Learning vs Data Science: Artificial intelligence is a field where set of techniques are used to make computers as smart as humans. Machine learning is a sub domain of artificial intelligence where set of statistical and neural network based algorithms are used for training a computer in doing a smart task. Deep learning is all about neural networks. Deep learning is considered to be a sub field of machine learning. Pytorch and Tensorflow are two popular frameworks that can be used in doing deep learning.
Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant
A couple of days ago I started thinking if I had to start learning machine learning and data science all over again where would I start?
Artificial Neural Network | Deep Learning with Tensorflow and Artificial Intelligence | I have talked about Artificial neural networks and its implementation in TensorFlow using google colab. You will learn: What is an Artificial Neural Network? Building your neural network using Tensorflow.