#### Convolutional Neural Networks for Image Processing

Convolutional neural networks are deep learning algorithms that are particularly powerful for analysis of images.

379 results

Convolutional neural networks are deep learning algorithms that are particularly powerful for analysis of images.

4 hours
Machine Learning
Ariel Rokem
Course

Learn to apply all the SQL concepts and functions you have learned in previous courses to build out your very own dashboard

4 hours
Reporting
Tyler Pernes
Course

The xts and zoo packages make the task of managing and manipulating ordered observations fast and mistake free.

4 hours
Data Manipulation
Jeffrey Ryan
Course

Explore Linear Regression in a tidy framework.

4 hours
Machine Learning
Albert Y. Kim
Course

Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.

4 hours
Programming
Jason Myers
Course

Strengthen your knowledge of the topics you learned in Intermediate R with a ton of new and fun exercises.

4 hours
Other
Filip Schouwenaars
Course

Learn how to analyze a SQL table and report insights to management.

4 hours
Reporting
Bart Baesens
Course

Visualize seasonality, trends and other patterns in your time series data.

4 hours
Data Visualization
Thomas Vincent
Course

Learn how to pull character strings apart, put them back together and use the stringr package.

4 hours
Programming
Charlotte Wickham
Course

In this course you will learn the details of linear classifiers like logistic regression and SVM.

4 hours
Machine Learning
Mike Gelbart
Course

In this course you'll learn to build dashboards using the shinydashboard package.

4 hours
Reporting
Lucy D’Agostino McGowan
Course

Learn to use best practices to write maintainable, reusable, complex functions with good documentation.

4 hours
Programming
Shayne Miel
Course

Learn to write SQL queries to calculate key metrics that businesses use to measure performance.

4 hours
Case Studies
Michel Semaan
Course

Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.

4 hours
Applied Finance
Lore Dirick
Course

Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

4 hours
Probability & Statistics
Jason Vestuto
Course

This course was designed to get you up to speed with the most important and powerful methodologies in statistics.

4 hours
Probability & Statistics
Daniel Kaplan
Course

Learn the bag of words technique for text mining with R.

4 hours
Case Studies
Ted Kwartler
Course

Learn to combine data across multiple tables to answer more complex questions with dplyr.

4 hours
Data Manipulation
Chris Cardillo
Course

Learn to create deep learning models with the PyTorch library.

4 hours
Machine Learning
Ismail Elezi
Course

Make it easy to visualise, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.

4 hours
Importing & Cleaning Data
Nicholas Tierney
Course

Learn how to efficiently import data from the web into R.

4 hours
Importing & Cleaning Data
Charlotte Wickham
Course

Learn about how dates work in R, and explore the world of if statements, loops, and functions using financial examples.

5 hours
Applied Finance
Lore Dirick
Course

Build multiple-input and multiple-output deep learning models using Keras.

4 hours
Machine Learning
Zachary Deane-Mayer
Course

Analyze text data in R using the tidy framework.

4 hours
Data Manipulation
Marc Dotson
Course

Learn how to make predictions with Apache Spark.

4 hours
Machine Learning
Andrew Collier
Course

In this course you'll learn how to get your cleaned data ready for modeling.

4 hours
Machine Learning
Sarah Guido
Course

Learn how to detect fraud using Python.

4 hours
Machine Learning
Charlotte Werger
Course

Leverage the power of Python and PuLP to optimize supply chains.

4 hours
Machine Learning
Aaren Stubberfield
Course

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

4 hours
Machine Learning
John Mount
Course

Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.

5 hours
Applied Finance
Kris Boudt
Course

Use Seaborn's sophisticated visualization tools to make beautiful, informative visualizations with ease.

4 hours
Data Visualization
Chris Moffitt
Course

Leverage the tools in the tidyverse to generate, explore and evaluate machine learning models.

5 hours
Machine Learning
Dmitriy Gorenshteyn
Course

Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.

4 hours
Data Visualization
Charlotte Wickham
Course

Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.

4 hours
Probability & Statistics
Ted Kwartler
Course

Learn techniques to extract useful information from text and process them into a format suitable for machine learning.

4 hours
Machine Learning
Rounak Banik
Course

In this course you'll learn how to use data science for several common marketing tasks.

4 hours
Probability & Statistics
Verena Pflieger
Course

In this series of four case studies, you'll revisit key concepts from our courses on importing and cleaning data in R.

4 hours
Case Studies
Nick Carchedi
Course

Learn to solve increasingly complex problems using simulations to generate and analyze data.

4 hours
Probability & Statistics
Tushar Shanker
Course

Learn how to create informative and attractive visualizations in Python using the Seaborn library.

4 hours
Data Visualization
Erin Case
Course

Learn how to use Python to create, run, and analyze A/B tests to make proactive business decisions.

4 hours
Probability & Statistics
Ryan Grossman
Course

Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.

4 hours
Data Manipulation
Susan Sun
Course

Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.

5 hours
Data Manipulation
Ines Montani
Course

Master SQL Server programming by learning to create, update and execute functions and stored procedures.

4 hours
Programming
Meghan Kwartler
Course

Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

4 hours
Probability & Statistics
David Stoffer
Course

Learn about ARIMA models in Python and become an expert in time series analysis.

4 hours
Machine Learning
James Fulton
Course

Learn the basics of cash flow valuation, work with human mortality data and build life insurance products in R.

4 hours
Applied Finance
Katrien Antonio
Course

In this course you'll learn to analyze and visualize network data with the igraph package.

4 hours
Probability & Statistics
James Curley
Course

Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.

4 hours
Machine Learning
Violeta Misheva
Course

Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.

4 hours
Probability & Statistics
Rasmus Bååth
Course

In this course, you'll learn how to use tree-based models and ensembles for regression and classification.

4 hours
Machine Learning
Gabriela de Queiroz
Course