Tag: natural language processing (NLP)

Machine Learning Libraries Cheat Sheet

/

Organized into an interactive ‘periodic table’, this website collates machine learning libraries for R, Julia, Python, C/C++, Java, Scala, big data, computer vision and natural language processing (NLP), and Lua/JS/Clojure.

The Open Source Data Science Masters

/

“The open-source curriculum for learning Data Science. Foundational in both theory and technologies, the OSDSM breaks down the core competencies necessary for making use of data. The Internet is Your Oyster. With Coursera, ebooks, Stack Overflow, and GitHub — all free and open — how can you afford not to take advantage of an open source education?” This program consists of a list of courses and resources. The curriculum covers: … Continue Reading

Tales of Science and Data

/

This is an ebook written as a series of Jupyter notebooks, “intended as a collection of personally elaborated materials on Data Science. Topics span a quite large spectrum in the Data Science field: nothing will ever be fully comprehensive, but the purpose is keeping this continuously updated. Learning never ends!” Content includes: Probability & Statistics Machine Learning: Supervised Learning Unsupervised Learning Artificial Neural Networks Model Assessment Natural Language Processing Computer … Continue Reading

Text Mining with R: A Tidy Approach

/

From Amazon: “Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, you’ll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy principles behind R packages like ggraph and dplyr. You’ll learn how tidytext and other tidy tools in R can make text analysis easier and … Continue Reading

Data Science from Scratch: First Principles with Python

/

From Amazon: “Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get … Continue Reading

DataCamp – Machine Learning with the Experts: School Budgets

/

From DataCamp: “Data Science isn’t just for predicting ad-clicks; it’s also useful for social impact!This course is a case study from a machine learning competition on DrivenData. You’ll explore a problem related to school district budgeting. By building a model to automatically classify items in a school’s budget, it makes it easier and faster for schools to compare their spending with other schools. In this course, you’ll begin by building a … Continue Reading

DataQuest – Advanced Topics in Data Science

/

This is step 8 of 11 in the DataQuest Data Scientist Path. “Learn extra topics like NLP and how to participate in Kaggle competitions.” The curriculum for this step includes: Kaggle Competitions Getting Started with Kaggle Improving your Submission Exploring Topics in Data Science Naive Bayes for Sentiment Analysis An Introduction to K-Nearest Neighbors Natural Language Processing

Udacity Artificial Intelligence Engineer Nanodegree Program

/

From Udacity: “Learn to Build the Impossible. Welcome to the Artificial Intelligence Nanodegree program, where virtually anyone on the planet can study to become an AI engineer! We’ve collaborated with leading innovators in the field to bring you world-class curriculum, expert instructors, and exclusive hiring opportunities.” Topics include: Search and Optimization Building Models of Probability Computer Vision Logic, Reasoning & Planning Natural Language Processing “This Nanodegree program consists of two terms … Continue Reading

DataQuest – Data Scientist Path

/

Learn how to make inferences and predictions from data.

Open Data Science Conference (ODSC) East

/

Use Promo Code ODSC-BecomingDataSci for 5-20% off registration 2017 Event: May 3-5, 2017 – Boston, MA 2017 Speakers Tracks: Open Data Science, Machine Learning, Big Data Science, Open Visualization “ODSC – Open Data Science Conference – is essential for anyone who wants to connect to the data science community and contribute to the open source applications they use everyday. Our goal is to bring together the global data science community to help … Continue Reading