Editor's Picks

• Why I teach my students about scientific failure
  With class about to start, I print 14 Western blot images for my students to discuss. The 3-hour lab is supposed to be the culmination of a weeks long research project in my undergraduate biology course, the day my students determine whether their experimental results support their carefully crafted hypotheses. But the images are all the same—and all full of nothing but background bands. My students are about to have a hard lesson in scientific failure and how to be resilient in the face of it...

• Uncertainty in Deep Learning — Brief Introduction
  In this post, I will try to give an intuition about uncertainty in Deep Learning models instead of explaining these uncertainties in depth. They will be explained in the next parts using TensorFlow Probability...

• NLP gigs [Twitter Thread]
  Reflecting on NLP gigs, thought I'd summarize a few things an NLP consultant can be expected to know about. 🧵...

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Data Science Articles & Videos

• Introducing Make-A-Video: An AI system that generates videos from text
  Today, we’re announcing "Make-A-Video", a new AI system that lets people turn text prompts into brief, high-quality video clips. Make-A-Video builds on Meta AI’s recent progress in generative technology research and has the potential to open new opportunities for creators and artists. The system learns what the world looks like from paired text-image data and how the world moves from video footage with no associated text. As part of our continued commitment to open science, we’re sharing details in a research paper and plan to release a demo experience...

• Writing Functions in R
  The beauty of R is its versatility and of course the community 💜 you can use R for literally anything (I use blogdown to set up and maintain my website, xaringan to create slide decks, Shiny to build web applications, ….). All these great tools build upon one “little” (or not so little) thing: functions!...

• DALL·E Now Available Without Waitlist
  New users can start creating straight away. Lessons learned from deployment and improvements to our safety systems make wider availability possible...

• embetter
  Embetter implements scikit-learn compatible embeddings for computer vision and text. It should make it very easy to quickly build proof of concepts using scikit-learn pipelines and, in particular, should help with bulk labelling. It's a also meant to play nice with bulk and scikit-partial...

• Machine Learning Integrity
  Yaron Singer on building tools to guard against and reduce model failures...Yaron Singer is the CEO of Robust Intelligence1, a company building tools to help manage and mitigate risks associated with machine learning models and applications. They are specifically creating solutions that integrate seamlessly into the ML lifecycle to guard against and reduce model failures...

• Supporting the next generation of AI leaders
  We’re partnering with six education charities and social enterprises in the United Kingdom (UK) to co-create a bespoke education programme to help tackle the gaps in STEM education and boost existing programmes through funding, volunteering, and the development of new AI resources...

• Ways to schedule Jupyter Notebook
  In this post, I will summarize five different approaches for Jupyter Notebook scheduling. I want to cover the following features for each method: 1) where the notebook is executed, locally or in the cloud, 2) is User Interface for schedule management available? 3) option to export notebook to HTML or PDF files, 4) automatically send notebook as an attachment by email, 5) share a link to the executed notebook, 6) restrict access to the notebook for selected (authenticated) users, 7) history of previous executions available in User Interface, 8) parametrized executions with an option to override, 9) hide code in the executed notebook, 10) possibility to execute the notebook as slides...

• Data Visualisation with Markdown, Flexdashboard and Shiny
  In most data projects it is useful and necessary to visualize your data and your results. Different tools exist for this in the R-universe and it depends on your purpose what is most suitable for you...In the following I will present some data visualization packages and tools that can help you to get the best visualization out of your data...

• Announcing the NeurIPS 2022 High School Outreach Program
  NeurIPS is creating a new high-school outreach day in New Orleans on Monday, Nov 28. Our vision is to empower students to engage with AI and how it impacts their lives. Get involved!...

• Lesser known SQL transforms and why they might be useful
  In prior posts, I analyzed data from the SQL Generator 5000 and outlined the 5 most popular SQL transforms. This time, I’m doing the opposite and looking at the 5 least popular...

• How to Run OpenAI’s Whisper Speech Recognition Model
  OpenAI's Whisper model can perform Speech Recognition on a wide selection of languages. We'll learn how to run Whisper before checking out a performance analysis in this simple guide...

• Building a Checkers Gaming Agent Using Deep Q-Learning
  In this article, we demonstrate how to implement a version of a reinforcement learning technique Deep Q-Learning to create an AI agent capable of playing Checkers at a decent level...

Tool*

Jobs

• Data Scientist - Success Academy Charter Schools, Inc - NYC
  
  This new Data Scientist role will be a key contributor to our mission of driving innovation across the organization. Reporting to the Leader of Enterprise Analytics, this role will be responsible for working with stakeholders in various functions to understand areas of opportunity, developing analytical solutions ranging from dashboards to sophisticated mathematical models, and helping functional teams adopt those solutions. This role will be part of a highly collaborative team of professionals with a wide range of skills including data science, data engineering, business analysis, and project management....
   

Training & Resources

• Decision Trees in Python: Predicting Diabetes
  In this post, we’ll be learning about decision trees, how they work and what the benefits are for using them. We’ll also use this algorithm in a real-world data to predict diabetes...

• Serverless Machine Learning
  This course is intended for new and seasoned practitioners of Machine Learning and Data Science with some level of experience programming in Python and working in notebooks environment...In this course, you will build a prediction service, not just train a model...

• Feature Store Summit 2022
  A Free Virtual Conference for Feature Engineering: Join us this year for more talks on latest technologies, best practices, and use cases for putting machine learning models into production environments....

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Last Week's Newsletter's 3 Most Clicked Links

• The Most Popular SQL Transforms

• Growing a Career in NLP with Primer’s Amy Heineike

• Productizing Large Language Models

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Cutting Room Floor

• All clear :)