Build A Real World Deep Learning Solution: Practical Guide

Words like a neural network, machine learning, deep learning, logistic regression are popping up more and more. All of these have now become a buzz in the tech industry. Among all, deep learning is one such concept that has become the focus of many machine learning-based researches.

Already, deep learning is being used in many daily life applications. From self-driving cars to traffic assistance to face recognition technology at the airport to big mart sale prediction, deep learning is used like never before.

Just like all others, deep learning is also a subset of AI. In this tutorial, you will be going to learn the use of Deep Learning for creating a computer algorithm that can be used for tracking big mart sales on various products. It can be done via autonomous learning from the available data and information.

In this deep learning project, you will learn how to build a model that can predict the sales of each product at a big mart.

Overall, you will learn about the TensorFlow, data science hypotheses, data exploration, data visualization & data regression for building this project.

This deep learning online tutorial unfolds with the basic introduction and then introduces you to several important concepts associated with deep learning that you will be going to use in the latter part of this course.

You will be taught about the hypothetical measurement, Iris flower, Big Mart dataset, generating hypotheses, data extraction, data pre-processing and data modeling. By the end of this course, you will be able to build a predictive model that can predict the likely value of sales of each of the products.

Begin with this online course now to learn and understand all the concepts required to build a Deep Learning algorithm for Big Mart Sale Prediction.