Instructional Video25:04
The Wall Street Journal

DOJ Assistant Attorney General Matthew Olsen on Fighting Cybercrime

Higher Ed
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.
Instructional Video4:50
Two Minute Music Theory

Sonification: The Music of Data

12th - Higher Ed
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.
Instructional Video2:51
Fun Robotics

One-vs-Rest (OvR) Heuristic Method

Higher Ed
Describes the working principle of a One-vs-Rest (OvR) heuristic method.
Instructional Video19:20
Curated Video

Data Science and Machine Learning with R - Introduction to Data Frames

Higher Ed
This video explains introduction to data frames. 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 data types...
Instructional Video26:23
R Programming 101

Ggplot for plots and graphs. An introduction to data visualization using R programming

Higher Ed
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...
Instructional Video28:40
The Wall Street Journal

McKinsey Senior Partner and Imagine Co-Founder on profit vs. purpose.

Higher Ed
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.
Instructional Video9:49
Curated Video

Predictive Analytics with TensorFlow 8.5: CNN Model for Emotion Recognition

Higher Ed
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...
Instructional Video3:58
Curated Video

Julia for Data Science (Video 24)

Higher Ed
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 performance...
Instructional Video36:51
Curated Video

Data Science and Machine Learning with R - Single Variable Plots

Higher Ed
This video focuses on single variable plots. 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 visualization in R.
Instructional Video4:19
Fun Robotics

Working Principle of KMeans Clustering

Higher Ed
Describes the working principle of a Kmeans algorithm.
Instructional Video6:22
Curated Video

Predictive Analytics with TensorFlow 10.2: Factorization Machines for Recommendation Systems

Higher Ed
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...
Instructional Video14:48
Global Health with Greg Martin

R programming for beginners – statistic with R (t-test and linear regression) and dplyr and ggplot

Higher Ed
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...
Instructional Video6:25
Curated Video

Apache Spark 3 for Data Engineering and Analytics with Python - Structured APIs Introduction

Higher Ed
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...
Instructional Video8:06
Packt

Improve the accuracy of an artificial intelligence system : Exploring Hyper Parameters to Improve the Accuracy

Higher Ed
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 parameters to...
Instructional Video6:45
Curated Video

How to Create a Dataset for Machine Learning

Higher Ed
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...
Instructional Video16:48
R Programming 101

Using ggplot to create bar charts for 2 categorical variables - R programming for beginners.

Higher Ed
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...
Instructional Video4:30
Curated Video

Ensemble Machine Learning Techniques 2.3: Ensemble Learning for Classification

Higher Ed
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...
Instructional Video2:27
Curated Video

Use a real-life example of an AI system to discuss some impacts of cyber attacks : Confidentiality, Availability, and Integrity Attacks

Higher Ed
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 know the main...
Instructional Video3:39
de Dicto

Machine Learning Systems Design with Sara Hooker: Fundamental architectural constraint

Higher Ed
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 Sara...
Instructional Video37:57
APMonitor

Imbalanced Data Classification

10th - Higher Ed
Imbalanced data is a disproportionate number of data points with discrete labels and can be a big challenge to develop an accurate classifier. A classifier attempts to find the data boundary where one class ends and the other begins....
Instructional Video13:26
Fun Robotics

Handling DataFrame

Higher Ed
Use of data science libraries such as pandas and seaborn to perform basic data exploration, data cleaning and data visualization techniques.
Instructional Video20:21
The Wall Street Journal

Venture Bets In Health Care

Higher Ed
As investors pour billions into health and biotech, two prominent venture capitalists share perspectives on the sector and what they're betting on now.
Instructional Video11:15
de Dicto

Machine Learning Systems Design with Sara Hooker: Robustness

Higher Ed
Does Sara Hooker think effective tools should look primarily at the data or the model itself? Machine Learning Systems Design with Sara Hooker, Part 6
Instructional Video6:38
Curated Video

Evaluate visual representations of data that models real-world phenomena or processes : Hands-On Example: NLP

Higher Ed
From the section: NLP Visualization and Model Experimentation. Visualize text data and view data embeddings. View and track hyperparameter tuning and display training configurations to run reproducible experiments. Here, we shall predict...