This video on the Artificial Intelligence tutorial will make you learn in detail about the different concepts involved in AI. First, you will understand the basics of AI.
Since AI is a combination of Machine Learning and Deep Learning, you will learn about Machine Learning with hands-on demo. Then, you will get an idea about the top 10 applications of Machine Learning. This tutorial will also help you learn about Deep Learning in Python using TensorFlow. You will come across some essential Deep Learning applications. Finally, you will learn how to become an AI Engineer and look at some vital machine learning and deep learning interview questions. Now, let's dive in and learn artificial intelligence in detail.
Below topics are explained in this Artificial Intelligence tutorial:
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
Simple explanations of Artificial Intelligence, Machine Learning, and Deep Learning and how they’re all different
Artificial Intelligence (AI) will and is currently taking over an important role in our lives — not necessarily through intelligent robots.
Data Augmentation is a technique in Deep Learning which helps in adding value to our base dataset by adding the gathered information from various sources to improve the quality of data of an organisation.
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.