In this lesson, students learn how to collect measurement data by organizing it on a T chart. They are taught how to measure using rulers and record measurements as mixed numbers. The T chart helps them organize the data by recording...

Describes the 3 main types of machine learning namely supervised, unsupervised, and reinforcement learning.

For this video, we will be using bank marketing datasets. The data is related to direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. We will do predictive analytics using...

In this video, the teacher explains the importance of labeling and titling graphs to accurately interpret the data. Using examples of bar graphs and picture graphs, the teacher demonstrates how incomplete labeling can lead to confusion....

A basic, skimming of ideology and framework to analyzing government.

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...

This video will try to see if we can use CNN for such a use case and experience much better accuracy. Well, the motivation here is that we know CNN is mostly suitable for handling image recognition, classification, or pattern...

kNN is non-parametric and instance-based and is used in supervised learning. In this video, we will see working principles of kNN, we will also implement kNN-based predictive model. • See the working principles of kNN • Implement a...

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...

We will first provide some contextual information about RNNs. We will see how to implement a BRNN implementation example using the TensorFlow library. The example is using the MNIST database of handwriting. • Look at contextual...

k-Nearest Neighbors classification is a type of lazy learning as it does not attempt to construct a general internal model, but simply stores instances of the training data. Classification is computed from a simple majority vote...

While weights of an MLP are initialized randomly, a DBN uses a greedy layer-by-layer pretraining algorithm to initialize the network weights through probabilistic generative models composed of a visible layer and multiple layers of...

Data engineers consolidate and prepare data for visualization, cleansing, scaling, and data division for training, validation, and testing.



Data Engineeri

ng: Part 1

Gathering data is the process...

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.



In this...

The FT's Donell Newkirk asks some of the world's biggest music companies, record labels, and producers how they are adapting to a fast-changing industry. And he follows an up-and-coming artist struggling to make his fair share during the...

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...

User experience (UX) design is a theoretical understanding of how users interact with websites. The major challenge developers building a company website face is finding the right balance that fulfills the objectives of the...

User experience (UX) design is a theoretical understanding of how users interact with websites. The major challenge developers building a company website face is finding the right balance that fulfills the objectives of the...

A young Dallas couple has decided to open their doors to refugee children in their neighborhood. They don’t run a daycare or an afterschool program, but host refugee children at their home for games, movies, and even homework. Their home...

User experience (UX) design is a theoretical understanding of how users interact with websites. The major challenge developers building a company website face is finding the right balance that fulfills the objectives of the...

Swift 2 is a multi-paradigm programming language that has expressive features familiar to modern functional languages, and does not forget the object-oriented features of Objective-C. Things that took a block of code in...

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...

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...

From nutrition, to food safety, to drug policy-how the Food and Drug Administration will shape the food industry in 2019.