Learn AI Today 04: Time Series Multi-Step Forecasting. Creating and Training a 1D Convolutional Neural Network to predict multiple future time-steps of a Chaotic Time Series generated with Mackey-Glass equation
This is the 4th story in the Learn AI Todayseries! If you have not already, make sure to check the previous story.
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.
How and why to start Learning to be a data scientist in 2020! This Data Science Course will give you a Step by Step idea about the Data Science Career, Data science Hands-On Projects, roles & salary offered to a Data Scientist!
Simple explanations of Artificial Intelligence, Machine Learning, and Deep Learning and how they’re all different
In this article, I clarify the various roles of the data scientist, and how data science compares and overlaps with related fields such as machine learning, deep learning, AI, statistics, IoT, operations research, and applied mathematics.
Defining and training a Pytorch model and visualizing the results dynamically. This is the first story in the Learn AI Today series I’m creating!