Tag: natural language processing (NLP)

Global Artificial Intelligence Conference

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Upcoming Event:  January 17-19, 2018 Santa Clara, CA From Global AI Conference’s website: “Global Big Data Conference’s vendor agnostic Global Artificial Intelligence(AI) Conference is for all industry verticals(Finance, Retail/E-Commerce/M-Commerce, Healthcare/Pharma/BioTech, Energy, Education, Insurance, Manufacturing, Telco, Auto, Hi-Tech, Media, Agriculture, Chemical, Government, Transportation etc.). It will be the largest vendor agnostic conference in AI space. The Conference allows practitioners to discuss AI through effective use of various techniques.” 2018 Agenda Registration

TDWI Chicago Conference

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Next Event: May 6-11, 2018 – Chicago, IL From TDWI Website: “In one week, at one location, you will get the most applicable training on your top data challenges from the industry’s most respected thought leaders and practitioners. Modernizing your data warehouse? Implementing cloud services? Working to develop a successful data architecture strategy for your self-service analytics and data science endeavors? Need to ensure your dashboards and KPIs are driving … Continue Reading

Python for Data Science and Machine Learning Bootcamp

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From Udemy: “Learn how to use NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, Tensorflow, and more! What Will I Learn? Use Python for Data Science and Machine Learning Use Spark for Big Data Analysis Implement Machine Learning Algorithms Learn to use NumPy for Numerical Data Learn to use Pandas for Data Analysis Learn to use Matplotlib for Python Plotting Learn to use Seaborn for statistical plots Use Plotly for interactive … Continue Reading

Spark and Python for Big Data with PySpark

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From Udemy: “Learn how to use Spark with Python, including Spark Streaming, Machine Learning, Spark 2.0 DataFrames and more! What Will I Learn? Use Python and Spark together to analyze Big Data Learn how to use the new Spark 2.0 DataFrame Syntax Work on Consulting Projects that mimic real world situations! Classify Customer Churn with Logistic Regression Use Spark with Random Forests for Classification Learn now to use Spark’s Gradient Boosted … Continue Reading

Machine Learning A-Z: Hands-On Python & R In Data Science

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From Udemy: “Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included. What Will I Learn: Master Machine Learning on Python & R Have a great intuition of many Machine Learning models Make accurate predictions Make powerful analysis Make robust Machine Learning models Create strong added value to your business Use Machine Learning for personal purpose Handle specific topics like Reinforcement Learning, NLP … Continue Reading

Machine Learning Libraries Cheat Sheet

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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

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“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

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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

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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

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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