Sentiment analysis is one of the most widely performed tasks in NLP. An LSTM network can be used to classify short texts into desired categories–that is, classification problems. For example, a set of tweet texts can be categorized as...

The video discusses the essential quantitative skills that modern-day economists should possess to successfully handle and interpret data and statistics related to economies, trade figures, and budget figures. The video goes over various...

Design a Neural Network to classify handwritten digits using Keras and TensorFlow

In this demo video, we will work on regression model.
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This clip is from the chapter "Fundamental Principles of Machine Learning on Azure (30- 35%)" of the series "AI-900: Microsoft Azure AI Fundamentals Video Course +...

This video is an introduction to machine learning.
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This clip is from the chapter "Introduction to Machine Learning" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This section...

Matthew Olsen, Assistant Attorney General at the U.S. Department of Justice, discusses the heightened risk of cyber espionage and attacks and how companies should respond to these threats.

Data can sometimes be dense and difficult to look at. Today we look at a technique known as sonification that scientists and musicians collaborate to create, a technique that can give researchers a different perspective on the dataset.

Describes the working principle of a One-vs-Rest (OvR) heuristic method.

This video explains introduction to data frames.
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This clip is from the chapter "Data Types and Structures in R" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This video explains...

Using ggplot and ggplot2 to create plots and graphs is easy. This video provides an easy to follow lesson on how to use R programming to do excellent data visualisation. If you want to learn how to work with data and do quantitative...

Has the turmoil from Covid-19 thrown diversity, climate change and sustainability off course, enhanced the commitment, or changed the focus? McKinsey Senior Partner Vivian Hunt and Imagine Co-Founder Paul Polman discuss.

We will first train the CNN model based on the dataset from Kaggle and then we will test that model to test a human face to predict one of the emotions. In this video, we show how to develop a CNN for emotion prediction from facial...

Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine...

This video focuses on single variable plots.
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This clip is from the chapter "Data Visualization in R" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This section explains data...

Describes the working principle of a Kmeans algorithm.

We will look at two examples for developing a more robust recommendation systems using FM. We will also see FM and their applications in the cold-start recommendation problem. • Understand the factorization machines • Look at the cold...

In this video I provide a tutorial on some statistical analysis (specifically using the t-test and linear regression). I also demonstrate how to use dplyr and ggplot to do data manipulation and data visualisation. Its R programming for...

This session introduces you to Spark structured APIs. This clip is from the chapter "Structured API - Spark DataFrame" of the series "Apache Spark 3 for Data Engineering and Analytics with Python".This section primarily focuses on the...

From the section: Building a Recommender System. In this section you will build a system that recommends restaurants based on similar user’s ratings, using collaborative filtering. You will also learn about exploring hyper...

This video explains the importance of data collection, cleaning, and labeling in creating effective AI systems. It covers various methods of data collection, ways to clean and augment data, and the subjective and labor-intensive process...

Creating bar charts or bar graphs is easy using ggplot. R programming provides a number of alternatives for data visualisation. Ggplot or ggpot2 is, in my opinion, the best way to visualise your data and create plots and graphs during...

In this video, we will use python to write a simple ensemble learning model for classification. • We will use Jupyter Notebook to execute our code • Use Iris dataset to perform classification • Use hard voting and soft voting for...

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.



It’s important to...

Learn of fundamental architectural constraints and the patterns that most models find important and how fundamentally different they are from the patterns a human would expect to be important.

Machine Learning Systems Design with...