PBS
The Missing Link That Wasn’t
The myth of the Missing Link--the idea that there must be a specimen that partly resembles an ape but also partly resembles a modern human--is persistent. But the reality is that there is no missing link in our lineage, because that’s...
Curated Video
Deep Learning - Recurrent Neural Networks with TensorFlow - A More Challenging Sequence
In this video, you will learn how to preform time series prediction with a complex signal. This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of the series "Deep Learning - Recurrent Neural...
Curated Video
Deep Learning - Recurrent Neural Networks with TensorFlow - RNN for Time Series Prediction
In this video, we will do the same forecasting exercise that we did with an autoregressive liner model, but with a simple RNN instead. This clip is from the chapter "Recurrent Neural Networks (RNNs), Time Series, and Sequence Data" of...
Curated Video
Fundamentals of Neural Networks - Logistic Regression
This video explains logistic regression and specifically if the target here is discrete or binary. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains...
Curated Video
Introduction to FinTech Using R - A Qualitative Discussion on Growth Strategy
This video explains a qualitative discussion on growth strategy. This clip is from the chapter "Asset Pricing" of the series "Introduction to FinTech Using R".This section explains asset pricing.
Curated Video
Introduction to FinTech Using R - A Growth Strategy
Today we are going to talk about one of the most famous quant strategies out there: Growth Strategy. We are going to code this strategy by hand, and we are going to land on a performance comparison to see why this strategy is attractive....
Curated Video
Data Science Prerequisites - Numpy, Matplotlib, and Pandas in Python - Comparing Different Machine Learning Models
In this video, we will understand how all machine learning interfaces are the same. This clip is from the chapter "Machine Learning Basics" of the series "Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python".In this...
Curated Video
Ranking Machine Learning Methods | Machine Learning Tier List
Today, we'll be ranking machine learning methods based on the extremely subjective metric of how much I use them in my research.
Curated Video
How Much AI Do You Need To Make A Neuron? | Neuromorphic Design
How similar are perceptrons to neurons anyway? We'll look at a few papers that try to figure this out.
Curated Video
Scatter Plots
“Scatter Plots” will explain how to construct a scatter plot and use it to predict values.
R Programming 101
Advanced ggplot (episode #1)
If you are doing data visualisation with ggplot the you'll find this video useful. ggplot2 is one of the tidyverse packages and is used to create graphs and plots. Data visualization is an important part of both understanding and...
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...
R Programming 101
R programming in one hour - A crash course for beginners
R programming is easy. In this video, I'll walk you though how to clean your data; how to manipulate (or wrangle) your data; how to summarize your data; how to create tables and describe your data; how to visualize your data using ggplot...
R Programming 101
How to use ggplot to create beautiful scatter plots. This is an R programming for beginners video
Data visualisation is easy when you use ggplot. Ggplot2 is package and forms part of the tidyverse group of packages in R. Ggplot is used to create amazing plots and graphs. In this video I talk you though how to visualise two numeric...
Curated Video
Create a computer vision system using decision tree algorithms to solve a real-world problem : [Activity] Support Vector Classifiers in Action
From the section: Machine Learning: Part 2. In this section, we’ll cover Bayes Theorem, Naive Bayes, SVM and SVC to classify data. Machine Learning: Part 2: [Activity] Support Vector Classifiers in Action
R Programming 101
Ggplot for plots and graphs. An introduction to data visualization using R programming
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...
Global Health with Greg Martin
R programming for beginners – statistic with R (t-test and linear regression) and dplyr and ggplot
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...
APMonitor
Data Science 🐍 Regression
Regression is the process of adjusting model parameters to fit a prediction to measured values. There are independent variables as inputs to the model to generate the predictions. For machine learning, the objective is to minimize a loss...
Communication Coach Alex Lyon
Transactional Model of Communication
The Transactional Model of Communication is a good introduction to better understand the communication process. This basic communication theory, by Paul Watzlawick, Dean Barnlund, and others, builds on Shannon and Weaver's earlier...
Brian McLogan
Computing exponential growth word problem
Learn about compound interest. We will look at how to determine the final value, initial value, interest rate and years needed. We will investigate problems compounded continuously, daily, weekly, monthly, quarterly and yearly. These...
de Dicto
Machine Learning Systems Design with Sara Hooker: Algorithmic bias
Sara Hooker explains why algorithmic bias is not a data collection problem and what are the implicit biases of the algorithms themselves. Machine Learning Systems Design with Sara Hooker, Part 4
Global Health with Greg Martin
Linear Regression - made easy
Simple linear regression models don't need to be scary. This video will take you through the basics of how to interpret linear regression results. If you are learning regression modelling or just learning statistics and quantitative...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Machine Learning Model Linearity Exercise Solution
In this video, we will cover machine learning model linearity exercise solution. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects)...