Open Source Projects by Google, Uber and Facebook for Data Science and AI

Open source is becoming the standard for sharing and improving technology. Some of the largest organizations in the world namely: Google, Facebook and Uber are open sourcing their own technologies that they use in their workflow to the public.

https://www.kdnuggets.com/2019/11/open-source-projects-google-uber-facebook-data-science-ai.html

Lit BERT: NLP Transfer Learning In 3 Steps

PyTorch Lightning is a lightweight framework which allows anyone using PyTorch to scale deep learning code easily while making it reproducible. In this tutorial we’ll use Huggingface's implementation of BERT to do a finetuning task in Lightning.

https://www.kdnuggets.com/2019/11/lit-bert-nlp-transfer-learning-3-steps.html

Markov Chains: How to Train Text Generation to Write Like George R. R. Martin

Read this article on training Markov chains to generate George R. R. Martin style text.

https://www.kdnuggets.com/2019/11/markov-chains-train-text-generation.html

Two Years In The Life of AI, Machine Learning, Deep Learning and Java

Where does Java stand in the world of artificial intelligence, machine learning, and deep learning? Learn more about how to do these things in Java, and the libraries and frameworks to use.

https://www.kdnuggets.com/2019/11/life-ai-machine-learning-deep-learning-java.html

6 Challenging Open Source Data Science Projects to Make you a Better Data Scientist

Overview Here are 6 challenging open-source data science projects to level up your data scientist skillset There are some intriguing data science projects, including ...
The post 6 Challenging Open Source Data Science Projects to Make you a Better Data Scientist appeared first on Analytics Vidhya.

https://www.analyticsvidhya.com/blog/2019/12/6-challenging-data-science-projects-better-data-scientist/

Google Open Sources MobileNetV3 with New Ideas to Improve Mobile Computer Vision Models

The latest release of MobileNets incorporates AutoML and other novel ideas in mobile deep learning.

https://www.kdnuggets.com/2019/12/google-open-sources-mobilenetv3-improve-mobile-computer-vision-models.html

Top Stories, Nov 25 – Dec 1: How to Speed up Pandas by 4x with one line of code; Open Source Projects by Google, Uber and Facebook for Data Science and AI

Also: Getting Started with Automated Text Summarization; A Doomed Marriage of Machine Learning and Agile; The Future of Careers in Data Science & Analysis; The Future of Careers in Data Science & Analysis; Can Neural Networks Develop Attention? Google Thinks they Can

https://www.kdnuggets.com/2019/12/top-news-week-1125-1201.html

Top 7 Data Science Use Cases in Trust and Security

What are trust and safety? What is the role of trust and security in the modern world? Read this overview of 7 data science application use cases in the realm of trust and security.

https://www.kdnuggets.com/2019/12/top-7-data-science-use-cases-trust-security.html

The Many Business Applications of Machine Learning

Learn why machine learning is so crucial to conducting better business, and how our new machine learning scientist career tracks can help you tackle your business problems.

https://www.datacamp.com/community/blog/machine-learning-tracks

A Non-Technical Reading List for Data Science

The world still cannot be reduced to numbers on a page because human beings are still the ones making all the decisions. So, the best data scientists understand the numbers and the people. Check out these great data science books that will make you a better data scientist without delving into the technical details.

https://www.kdnuggets.com/2019/12/non-technical-reading-list-data-science.html

Data Science Immersive Bootcamp – Hands-on Internship with Job Guarantee!

“I have applied for various data science roles but I always get rejected because of a lack of experience.” This is easily the most ...
The post Data Science Immersive Bootcamp – Hands-on Internship with Job Guarantee! appeared first on Analytics Vidhya.

https://www.analyticsvidhya.com/blog/2019/12/data-science-immersive-bootcamp-analytics-vidhya/

Data Science Curriculum Roadmap

What follows is a set of broad recommendations, and it will inevitably require a lot of adjustments in each implementation. Given that caveat, here are our curriculum recommendations.

https://www.kdnuggets.com/2019/12/data-science-curriculum-roadmap.html

Vega-Lite: A grammar of interactive graphics

Vega and Vega-lite follow in a long line of work that can trace its roots back to Wilkinson’s ‘The Grammar of Graphics.’ Since then VegaLite has come into existence, bringing high-level specification of interactive visualisations to the Vega-Lite world.

https://www.kdnuggets.com/2019/12/vega-lite-grammar-interactive-graphics.html

Popular Deep Learning Courses of 2019

With deep learning and AI on the forefront of the latest applications and demands for new business directions, additional education is paramount for current machine learning engineers and data scientists. These courses are famous among peers, and will help you demonstrate tangible proof of your new skills.

https://www.kdnuggets.com/2019/12/deep-learning-courses.html

Statistical Thinking for Industrial Problem Solving – a free online course

This online course is available – for free – to anyone interested in building practical skills in using data to solve problems better.

https://www.kdnuggets.com/2019/12/jmp-statistical-thinking-free-course.html

Create Natural Language Processing-based Apps for iOS in Minutes! (using Apple’s Core ML 3)

Overview Intrigued by Apple’s iOS apps? Learn how to build Natural Language Processing (NLP) iOS apps in this article We’ll be using Apple’s Core ...
The post Create Natural Language Processing-based Apps for iOS in Minutes! (using Apple’s Core ML 3) appeared first on Analytics Vidhya.

https://www.analyticsvidhya.com/blog/2019/12/create-nlp-apps-ios-using-apples-core-ml-3/

KDnuggets™ News 19:n46, Dec 4: The Future of Data Science Careers; Which Data Visualization Should I Use?

This week: The Future of Careers in Data Science & Analysis; Task-based effectiveness of basic visualizations; Open Source Projects by Google, Uber and Facebook for Data Science and AI; Getting Started with Automated Text Summarization; A Non-Technical Reading List for Data Science; and much more!

https://www.kdnuggets.com/2019/n46.html

PyTorch in 2019 and where in Europe you can learn about PyTorch in 2020

The Reinforce AI Conference is coming to Budapest again. Join us Apr 6-7 for the conference days, and optionally Apr 8 for workshops. Stefan Otte returns as a speaker, while Francois Chollet joins this time as well.

https://www.kdnuggets.com/2019/12/reinforce-pytorch-budapest.html

The Rise of User-Generated Data Labeling

Let’s say your project is humongous and needs data labeling to be done continuously - while you’re on-the-go, sleeping, or eating. I’m sure you’d appreciate User-generated Data Labeling. I’ve got 6 interesting examples to help you understand this, let’s dive right in!

https://www.kdnuggets.com/2019/12/rise-user-generated-data-labeling.html

KDnuggets Poll: How well do current AutoML solutions work?

Take part in our latest poll, asking readers their opinions on the effectiveness of current automated machine learning solutions.

https://www.kdnuggets.com/2019/12/poll-current-automl-solutions-opinion.html

Explainability: Cracking open the black box, Part 1

What is Explainability in AI and how can we leverage different techniques to open the black box of AI and peek inside? This practical guide offers a review and critique of the various techniques of interpretability.

https://www.kdnuggets.com/2019/12/explainability-black-box-part1.html