Curated Video
Predictive Analytics with TensorFlow 1.1: The Course Overview
This video will give you an overview about the course.
Curated Video
Discuss the importance of data : Classification tree in Python: Preprocessing
From the section: Simple Classification Tree. This section we will expand our knowledge of regression Decision tree to classification trees, we will also learn how to create a classification tree in Python. Simple Classification Tree:...
Curated Video
Create a machine learning model of a real-life process or object : Implementing a Multi Layer Perceptron (Artificial Neural Network)
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...
Curated Video
Describe a neural network : Neural Network for Multiclass Classifications
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 Classifications,...
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : Logistic Regression
From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold cross-validation....
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Logistic Regression In Action
From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold cross-validation....
Curated Video
Describe the applications of artificial intelligence systems : What is Machine Learning?
From the section: An Introduction to Machine Learning. In this section, we are introduced to Machine Learning. We learn about its types and applications. There will an explanation on AI versus ML. An Introduction to Machine Learning:...
Curated Video
Ensemble Machine Learning Techniques 2.5: Ensemble Learning for Regression
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...
Curated Video
Predictive Analytics with TensorFlow 6.4: TF-IDF Model for Predictive analytics
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. •...
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : What is Machine Learning?
From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold cross-validation....
Curated Video
Discuss the importance of data : The Data set for Classification problem
From the section: Simple Classification Tree. This section we will expand our knowledge of regression Decision tree to classification trees, we will also learn how to create a classification tree in Python. Simple Classification Tree:...
Curated Video
Describe a neural network : Neural Network for Regression
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 Classifications,...
Packt
Develop an AI system to solve a real-world problem : Building Artificial Neural Networks
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 applied...
Curated Video
Implement logical operations in a computer program : Logical Operators
From the section: Basics. In this section, we look into comments, variables and its types, list, tuples, dictionary, various operators, and loops in details. Logical operators are typically used with Boolean (logical) values. When they...
Curated Video
Describe computer programming : Basics of Python
From the section: Introduction to Python. In this section we look at Python's fundamental, built-in data structures, and discuss how and when to use them. This video will walk you an overview about the Python. • Go to the Python.org...
Curated Video
Evaluate a machine learning model : Evaluate Model Performance
From the section: Regression. In this section, you are going to learn about Regression. Regression: Evaluate Model Performance
Packt
Define artificial intelligence : AI, Machine Learning, Deep Learning Overview
From the section: Introduction. In this section, the learner will be introduced to the environment and working of Keras and how to set it up to go coding. A very brief introduction along with an illustration will be given to deep...
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : Evaluating Machine Learning Systems with Cross-Validation
From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold cross-validation....
Packt
Positive Impact Advantages of AI : What Can AI Do for Businesses?
From the section: Getting Started with Artificial Intelligence with Python. In this section, learners are introduced to Artificial Intelligence and the libraries they will be using for the rest of the course, including NumPy, matplotlib,...
Globalive Media
Beyond Innovation: Episode 2
A computer algorithm predicts ad popularity, China embraces blockchain technology and AI chat-bots offer top-notch customer care. Plus, Anthony and Michael speak with a media startup turning to technology to solve the journalism crisis....
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : Decision Trees and Random Forests
From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold cross-validation....
Curated Video
Predictive Analytics with TensorFlow 2.3: Using Information Theory in Predictive Modeling
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
Curated Video
routing protocols : Types of Routing Protocols -Distance Vector, Link State
From the section: Routing Introduction. In this section, we look into Routed protocols, demonstrations, static routes, dynamic routes, and different types of routing protocols. Routing Introduction: Types of Routing Protocols -Distance...
Zach Star
Should I Get Further Education (Master's, PhD, MBA, and More)
In this video I discuss whether you should get further education beyond a bachelor's degree. There are many types of further schooling you can go into including a master's and phd, medical school, nursing school, pharmacy school, law...