Curated Video
Predictive Analytics with TensorFlow 1.4: Vectors, Matrices, and Graphs
We will discuss vectors, metrics, and tensors, which are some fundamental topics for learning predictive analytics. • Understand vectors and matrices • Find transpose of matrix
Curated Video
Predictive Analytics with TensorFlow 4.2: From Disaster to Decision –Titanic Example Revisited
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...
Curated Video
Predictive Analytics with TensorFlow 4.1: Supervised Learning for Predictive Analytics
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...
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Evaluate the accuracy of an artificial intelligence system : Pointers on Evaluating the Accuracy of Classification Modelling
From the section: Supervised Learning: Classification. In this section, the author talks about kNN- Classification, Naive Bayes Classification, SVM- Linear and Non-Linear Classification and also Gradient Boosting Machine (GBM)....
Zach Star
Physics Vs Math - How to Pick the Right Major
This video is about physics vs math and how to know which major is right for you. You may have enjoyed them both in high school so of course you may want to major in one in college. The good news is that if you major in physics then you...
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Create a machine learning model of a real-life process or object : Implementing a Simple Linear Regression Algorithm
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...
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Discuss the importance of data : Advantages and Disadvantages of Decision Trees
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:...
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Describe the applications of artificial intelligence systems : Types and Applications of ML
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:...
Zach Star
Electrical Vs Computer Engineering Vs Computer Science - A Side by Side Comparison
In this video I give a side by side comparison of the college courses in electrical engineering, computer engineering, and computer science. Note that I really didn't 'count' some of the intro classes as "major classes" cause they are...
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Linear 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
Create a machine learning model of a real-life process or object : Getting Started with TensorFlow 2.0
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
Discuss the importance of data : Classification tree in Python: Training
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 the applications of artificial intelligence systems : Essential Math for ML and AI
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:...
Zach Star
A Look at Some Higher Level Math Classes: Getting a Math Minor
This video goes over some of the extra math classes you can take if you get a math minor. Some of these include... Graph Theory Vector Analysis Topology Numerical Analysis Real Analysis Complex Analysis Abstract Algebra Differential...
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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:...
Zach Star
The Physics Major (Part 2)
If you missed part 1: https://www.youtube.com/watch?v=5EYFlnI_0ew Instagram: https://www.instagram.com/zachstar/ Join Facebook Group: https://www.facebook.com/groups/majorprep/ This video goes over statistical mechanics and a few other...
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,...
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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. •...