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Applied AI Book @appliedAIbook

A handbook for business leaders applying machine intelligence to their organizations & communities. By @thinkmariya @adelynzhou @mjia #tech #AI #ML #bots

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Applied AI Book@appliedAIbook
15 Feb 2024
🚀 Thrilled to share that the 2nd edition of "Applied AI: A Handbook for Business Leaders" is out now! We've packed it with the latest on generative AI & large language models. 📚 #AppliedAI #GenerativeAI #LLMs 👉 amzn.to/42CQUyh
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🚀 Thrilled to share that the 2nd edition of "Applied AI: A Handbook for Business Leaders" is out now! We've packed it with the latest on generative AI & large language models. 📚 #AppliedAI #GenerativeAI #LLMs 👉 amzn.to/42CQUyh
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Grab a FREE Kindle copy in our limited-time promo! 👉 amzn.to/3I3bDSq

Applied Artificial Intelligence: A Handbook For Business Leaders

Applied Artificial Intelligence: A Handbook For Business Leaders

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Use this methodology (1) to find the best solution instead of executing the first idea that crosses your mind; (2) to minimize (and enable) the delivery time of complex research projects in data science. topbots.com/complex-research… #AI #MachineLearning #ML #Research

A Step-By-Step Guide To Approaching Complex Research Projects

Here's a step-by-step methodology to keep your research projects in data science focused. First, answer three main questions: Why, What, and How.

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We all love big language models, but there are some dark sides we should be aware of. Here's an overview showing that language models like BERT and GPT-2 can generate hurtful statements – not only in English but across different languages. topbots.com/can-too-much-ber… #AI #BERT #NLP

Can Too Much BERT Be Bad for You?

Here's a summary of the NAACL 2021 research paper "HONEST: Measuring hurtful sentence completion in language models."

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When we do online experiments or A/B testing, we need to ensure our test has high statistical power so that we can find the experimental effect if it does exist. In this article, will walk you through several popular variance reduction methods. topbots.com/online-experimen… #ML #AI

Online Experiments Tricks – Variance Reduction

In this article, I will walk through some of the popular variance reduction methods and demonstrate some simple examples in Python.

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Can we make GANs using Vision Transformers? In this article, Davide Coccomini investigates the creative side of Vision Transformers with two different model architectures: TransGAN and Paint Transformer. topbots.com/the-creative-sid… #AI #MachineLearning #ComputerVIsion #ML

The Creative Side Of Vision Transformers

Vision Transformers-based architectures are today one of the most promising approaches in computer vision. But if they are so great, wouldn’t it be worth using Vision Transformers to make GANs?

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What if you need to analyze an SQL database consisting of 500 tables? Check this article to see how to build a tool in which you can apply various filters and then view the filtered tables in an easy-to-grasp visual representation. topbots.com/visualize-databa… #AI #ML #Python

How To Visualize Databases As Network Graphs In Python

Here's how to build a Dash web application to visualize your database and explore its structure interactively.

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When combining multiple models into a group model, you get an ensemble model that usually performs better than each model alone. Check this article for Python implementations of such popular ensemble methods as voting, bagging, boosting, and stacking. topbots.com/practical-guide-… #AI

Practical Guide To Ensemble Learning

Ensemble learning is a technique used in machine learning to combine multiple models into a group model, in other words into an ensemble model.

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Survival analysis can be applied in medicine as patients’ survival time analysis, in engineering as reliability analysis or time-to-failure analysis, and in economics as duration analysis. Read this practical guide by Idil Izmiguzel. topbots.com/survival-analysi… #Python #DataScience

Hands-on Survival Analysis With Python

Survival analysis is a popular statistical method to investigate the expected duration of time until an event of interest occurs.

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The question we ask the A/B test is “which version is better?”. Except for the traditional Frequentist framework, Bayesian framework can also answer this question and is gaining more and more popularity in the online industries. topbots.com/switch-to-bayesi… #AI #Bayesian #ABtesting
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In this article, Itamar Faran gives a short overview of the statistical models behind Bayesian A/B tests, and presents the ways to implement them. topbots.com/bayesian-ab-test… #AI #ML #MachineLearning #ABtesting #Bayesian

How To Do Bayesian A/B Testing At Scale

In this post, I give a short overview over the statistical models behind Bayesian A/B tests, and present the ways to implement them.

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Varshita Sher shares a few tips for writing cleaner code in Python. Including these tips as part of your everyday coding routine will help you generate supreme quality Python scripts, that are easily maintainable and scalable over time. topbots.com/data-scientists-… #AI #ML #Python

Data Scientist’s Guide To Efficient Coding In Python

Here are a few tips and tricks I use for writing clean Python code as a data scientist. Read on to generate supreme quality Python scripts, that are easily maintainable and scalable over time.

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Follow this tutorial by Varshita Sher to build a facial identification system that will verify if an image, generally known as a probe image, exists within a pre-existing database of faces, generally known as the evaluation set. topbots.com/building-face-re… #ML #ComputerVIsion #AI

Building A Face Recognition System Using Scikit Learn In Python

In this tutorial, we are building a face recognition system that will verify if an image, generally known as probe image, exists within a pre-existing database of faces, generally known as the...

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Over the centuries, we have seen how the universe was discovered by scientists and imagined by artists, but what would an artificial intelligence think? How would it imagine the universe? We are now able to answer these questions, thanks to GANs. topbots.com/how-does-an-ai-i… #AI #GAN

How Does An AI Imagine The Universe?

Over the centuries, we have seen how the universe was discovered by scientists and imagined by artists, but what would an artificial intelligence think? How would it imagine the universe? We are now...

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Vision Transformers can achieve better results than other methods. Davide Coccomini shows that realising self-supervised approaches for Vision Transformers may be a possible way to making these models not only powerful but also easier to apply. topbots.com/self-supervised-… #ML #AI

Self-Supervised Learning In Vision Transformers

Self-Supervised Learning is an innovative unsupervised approach that is enjoying great success and is now considered by many to be the future of Machine Learning.

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Are you interested to know how AI is applied to count penguins from space? Or prevent substance abuse, predict pandemics, analyze people's mental health? Matthew Stewart introduces the reader to the nascent research field of AI for Social Good. topbots.com/introduction-to-… #AI #AI4SG

Introduction To AI For Social Good

The article introduced the “AI for Social Good” research field along with some of the novel applications that aim to tackle important social, environmental, and public health challenges.

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In this tutorial, Florent Poux features some of the most robust approaches to 3D point cloud segmentation: ✅ RANSAC or RANdom SAmple Consensus ✅ Euclidean Clustering through DBSCAN or Density-Based Spatial Clustering of Applications w/ Noise topbots.com/automate-3d-poin… #ML #AI

How To Automate 3D Point Cloud Segmentation And Clustering With Python

A complete python tutorial to automate point cloud segmentation and 3D shape detection using multi-order RANSAC and unsupervised clustering (DBSCAN).

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Here Ane Berasategi shares her tips on following the latest advances in deep learning by reading research papers. It is not so easy to shortlist the top papers. Read the article for some good resources. topbots.com/learn-deep-learn… #ML #AI #MachineLearning #DeepLearning

How To Learn Deep Learning By Reading Papers

Deep learning is moving so fast, that the only way to keep up is by reading directly from the people who publish these new findings. If you want to learn about deep learning in 2021, you need to read...

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Isn’t there a way to get the best out of both Convolutional Neural Networks and Vision Transformers? Davide Coccomini shows how these two architectures can be combined to obtain something capable of exploiting the positive sides of both! topbots.com/vision-transform… #ML #AI

Vision Transformers or Convolutional Neural Networks? Both!

Lucky for us, CNNs and VIsion Transformers can be combined in many different ways to exploit the positive sides of both!

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Transformer-based language models demonstrate impressive performance in text generation but controlling their output remains challenging. Rohola Zandie addresses the problem of controlled text generation without the massive infrastructure to train it! topbots.com/topical-language… #ML

Topical Language Generation With Transformers

We introduce Topical Language Generation (TLG) by combining a pre-trained LM with topic modeling information. We cast the problem using Bayesian probability formulation.

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