From the section: Predicting Sales with Supervised Learning. In this section, learners will use their first machine learning techniques, including Support Vector Machines and Artificial Neural Networks. These techniques will be...

From the section: Lights, Camera, Action – Building Blocks of Reinforcement Learning. In this section, we learn about the main building blocks of reinforcement learning, including the action space, the environment, and the rewards....

From the section: Model-Free Prediction and Control With Monte Carlo (MC). In this section, we will learn one of two improvements on DP – Monte Carlo, a method which does not require a model of the environment. We talk about a new...

From the section: The Multi-Armed Bandit. In this section, we will learn about the basics and look at one of the most foundational concepts in Reinforcement Learning – The Multi-Armed Bandit We construct a model of a MAB...

From the section: Errors in Python. This section introduces you to errors in Python.<b<br/>r/>

This video provides an introduction to errors in Python.

From the section: Unit Testing with Python. In this section, you will learn about unit testing using Python.<b<br/>r/>

This video explains the various testing functions in Python.

From the section: Power Supplies. Here, we check our power supply, mount the power supply and learn how to cool our PC. All PCs make heat. Too much heat will damage components, so the heat must be dissipated from the system. Cooling...

From the section: What are the threats?. This section includes threats, types of malware and lot more.



This video gives an overview of malware and threats. It shows how to recognize malware, types of malware and how devices...

From the section: Artificial Neural Networks. In this section, we’ll learn about ANN.<b<br/>r/>

Artificial Neural Networks: Example 1 - Build Multi-layer perceptron for binary classification

From the section: Introduction to Self-Driving Cars. In this section, we’ll cover a brief history and an overall outcome that you can expect by the end of this course.



Introduction to Self-Driving Cars: A Brief History of...

From the section: Simple Decision trees. In this section, we will start with the basic theory of decision tree then we cover data pre-processing topics like missing value imputation, variable transformation and Test-Train split. In...

From the section: Model-Free Prediction and Control With Monte Carlo (MC). In this section, we will learn one of two improvements on DP – Monte Carlo, a method which does not require a model of the environment. We talk about a new...

From the section: Errors in Python. This section introduces you to errors in Python.<b<br/>r/>

This video explains how to create errors in Python.

From the section: Advanced Python. This section helps to understand about OOP, classes, class interface etc. We will dive into learning Advance Python



Errors happen. You can NOT avoid them. It's a fact of life, your programs...

From the section: Data Operations. In this section, you will learn about the different types of operators used in Python. This section will teach you the building blocks for any kind of operations in Python.



Data Operations:...

From the section: Deep Learning and Tensorflow: Part 1. In this section, we’ll talk about what Deep Learning is, and how TensorFlow works at a low level.



Deep Learning and Tensorflow: Part 1: Building Deep Neural Networks...

From the section: Computer Vision Basics: Part 2. In this section, we’ll explore the some addtiional features of Computer Vision.<b<br/>r/>

Computer Vision Basics: Part 2: Region of interest masking

From the section: Computer Vision Basics: Part 1. In this section, we’ll cover the basic features of Computer Vision.<b<br/>r/>

Computer Vision Basics: Part 1: What are the challenges of color selection technique?

From the section: Python Crash Course [Optional]. In this section, we’ll continue diving into Python data structures with tuples and dictionaries, functions, Boolean Operations and Loops, and libraries like Pandas, MatPlotLib and...

From the section: Security Test Using Adversarial Attack. In this section, you will test any AI system against the latest attacks with the help of simple tools. The aim of this video is to give an overview of machine learning tasks. This...

From the section: Build a Threat Model and Learn Different Attacks on AI. In this section, you will create a high-level threat model for AI solution to choose the right priorities against various threats. The aim of this video is to show...

From the section: Choosing the Right Defense. In this section, you will deploy the right defense methods to protect AI systems from attacks by comparing their efficiency.



The aim of this video is to show practical example...

From the section: Common Coding Concepts.This section will cover common coding concepts such as Scratch setup, bugs, pseudocode, decomposition, commenting and many more.<b<br/>r/>

Common Coding Concepts: Lists

From the section: Introduction to Artificial Neural Networks (ANN). This section introduces Artificial Neural Networks. You will learn about Neural Network for Binary Classifications, Neural Network with PCA for Binary...