This video explains how to add the abstract decorator class in both input and output stream class hierarchies.
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This clip is from the chapter "Decorator Design Pattern" of the series "Structural Design Patterns in Modern...

This video explains how to add StringInfo for sharing internal strings.
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This clip is from the chapter "Flyweight Design Pattern" of the series "Structural Design Patterns in Modern C++".This section introduces you to the...

This video explains how to add more shape classes.
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This clip is from the chapter "Bridge Design Pattern" of the series "Structural Design Patterns in Modern C++".This section focuses on the bridge design pattern. You will...

This video explains how to implement the adapter pattern.
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This clip is from the chapter "Adapter Design Pattern" of the series "Structural Design Patterns in Modern C++".This section provides an introduction to the adapter...

This video explains the static decorator.<br<br/>/>

This clip is from the chapter "Decorator Design Pattern" of the series "Structural Design Patterns in Modern C++".This section focuses on the decorator design pattern.

We will discuss vectors, metrics, and tensors, which are some fundamental topics for learning predictive analytics.<br/>
• Understand vectors a<br/>nd matrices
• Fi<br/>nd transpose of matrix

In this video, we will see how we could develop several predictive models for Titanic survival prediction and do some analytics using them. In particular, we will discuss logistic regression, random forest, and linear SVM. We start with...

In this video, we will see a type of machine learning process that is supervised learning. We will also see linear regression. We will use it for movie rating prediction. • See the spam filtering example • Use linear regression for movie...

This video will give you an overview about the course.

Learn how to write your first C program then compile it and run it using Visual C compiler on the command prompt.
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This clip is from the chapter "Writing our First Program - A 'Hello, World!' Program in C" of the series...

In this video, we will use python to write a simple ensemble learning model for Regression. • We will use Jupyter Notebook to execute our code • Use of Height vs weight to demonstrate the ensemble technique • Use different models instead...

TF-IDF measures how important a word is in a document or in a collection of documents. It is used extensively in informational retrieval and reflects the weight of the word in the document, frequency and the inverse document frequency. •...

An overview of what programming functions are and how they work.

This video will first explain you the information theory. We will then see types of entropy. We will use the information theory in Python. • Study the different types of entropy • Use information theory in Python

Recommendation systems is a subclass of information filtering system that helps predict the "rating" or "preference" based on the rating provided by users of an item. We will also see collaborative filtering and content-based filtering...

DL is a branch of ML based on a set of algorithms that attempt to model high-level abstractions in data. In this video, we will see artificial neural networks and deep neural networks. We will also see deep neural networks architecture....

An emerging area for applying is the stock market trading, where a trader acts like a reinforcement agent since buying and selling particular stock changes the state of the trader by generating profit or loss, that is, reward. • Define...

For this video, we will be using bank marketing datasets. The data is related to direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. We will do predictive analytics using...

This video will explain us the general purpose of machine learning and also explain the workflow of predictive analytics. • Understand the workflow of predictive analytics in machine learning

This Arduino lesson was created by Programming Electronics Academy. We are an online education company who seeks to help people learn about electronics and programming through the ubiquitous Arduino...

This video talks about the advantages of using ensemble learning. • Define what is Bias, variance • Define what is Bias-Variance tradeoff • Look at the Advantage of using ensemble learning

ARDUINO POWER SECTION SCHEMATIC

In our discussion here, we are going to use an Arduino UNO as the base example – much of what we cover can be extended to other common Arduino boards, but in each case...

How does the design of our programs affect their speed and accuracy? • Learn about floating-point round-off error • Learn about computational complexity • Examine the divide-and-conquer design approach

Supervised and unsupervised learning appears at opposite ends of the spectrum, RL exists somewhere in the middle. We use reinforcement learning to discover a good sequence of actions to take the maximum expected rewards. We will also see...