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...
Instructional Video3:44
Curated Video

Apache Kafka - Real-time Stream Processing (Master Class) - Introduction

Higher Ed
This video introduces the course. This clip is from the chapter "Before you start" of the series "Apache Kafka - Real-time Stream Processing (Master Class)".This section introduces the course and includes lectures which describes about...
Instructional Video31:12
Curated Video

Data Science and Machine Learning with R - Data Frames: Helper Functions

Higher Ed
This video explains data frames helper functions. 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 Video19:50
Curated Video

Data Science and Machine Learning with R - Creating Data Frames

Higher Ed
This video explains creating 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 and...
Instructional Video21:37
IDG TECHtalk

Machine learning and AI advancements

Higher Ed
The hype around artificial intelligence and machine learning is giving way to real use. Join us as InfoWorld’s Serdar Yegulalp and IDG TECHtalk host Ken Mingis discuss how AI and ML have become easier to put into production, how AI and...
Instructional Video37:39
Curated Video

Create a computer vision system using decision tree algorithms to solve a real-world problem : Example 1 - Build Multi-layer perceptron for binary classification

Higher Ed
From the section: Artificial Neural Networks. In this section, we’ll learn about ANN. Artificial Neural Networks: Example 1 - Build Multi-layer perceptron for binary classification
Instructional Video14:08
Fun Robotics

Kmeans Clustering Method

Higher Ed
Implementing the Kmeans clustering method to form groups of people in a dataset.
Instructional Video3:44
Curated Video

Learning R for Data Visualization (Video 8)

Higher Ed
R is on the rise and showing itself as a powerful option in many software development domains. At its core, R is a statistical programming language that provides impressive tools for data mining and analysis, creating high-level...
Instructional Video4:40
Curated Video

Deep Learning with Python (Video 18)

Higher Ed
Deep learning is currently one of the best providers of solutions regarding problems in image recognition, speech recognition, object recognition, and natural language with its increasing number of libraries that are available in Python....
Instructional Video24:03
IDG TECHtalk

How to plot in R with echarts4r

Higher Ed
Learn how to make everything from basic line graphs to racing bar charts – all interactive and easily animated -- with echarts4r!
Instructional Video11:32
Curated Video

Mastering Tableau 2018.1, Second Edition 11.1: Data Visualization Best Practices for Effective Dashboards

Higher Ed
In this video, we’ll see the best practices that we can use to create effective dashboards. • Best practices for creating effective dashboards • Implement best practices for effective dashboards
Instructional Video9:43
Curated Video

Predictive Analytics with TensorFlow 6.5: Using Word2vec for Sentiment Analysis

Higher Ed
We will see how we can improve the previous predictive model with minimum effort using TF-IDF. • Use Word2vec for doing sentiment analysis
Instructional Video4:13
Curated Video

Predictive Analytics with TensorFlow 6.2: Transformers and Estimators

Higher Ed
We will get a brief explanation of transformers and estimators. We will also look at different types of transformers and estimators. • Look at the different types of transformers • Look at the different types of estimators
Instructional Video18:54
R Programming 101

Create a boxplot using R programming with the ggplot package.

Higher Ed
Visualize one categorical and one numeric variable If you are interested in using R programming to visualize your data, then you have come to the right place. Ggplot is a fantastic package that can be used to create plots and graphs to...
Instructional Video24:34
The Wall Street Journal

The Future of Doctoring

Higher Ed
Large health-care systems are defining new models of primary care, and tech is changing how the work of doctors is managed. How are doctors adjusting, and how do we educate the next generation to work in this new environment?
Instructional Video16:19
Curated Video

Statistics for Data Science and Business Analysis - Practical Example

Higher Ed
This video contains a practical example on descriptive statistics. This clip is from the chapter "Descriptive Statistics Fundamentals" of the series "Statistics for Data Science and Business Analysis".This section describes the...
Instructional Video3:51
Curated Video

Create a machine learning model of a real-life process or object : Analyzing the Airbnb Dataset and Making a Plan

Higher Ed
From the section: Regression Task Airbnb Prices in New York. We will use a real-world Airbnb dataset that contains data about New York properties for rent in 2019 on Airbnb, including their price. It is a simple dataset and makes a good...