PyImageSearch

MAY 8, 2023

Summary References Citation Information Introduction to Causality in Machine Learning In this tutorial, you will learn about causality and how to correctly interpret and use it for your machine learning projects. But what if we reverse the relation? What is the reason for such injustice, and how can we exploit that in machine learning?

Machine Learning 111

Machine Learning Machine Learning Deep Learning Deep Learning 111

AWS Machine Learning Blog

MAY 15, 2024

At Amazon Ads, we believe that what makes advertising effective is delivering relevant ads in the right context and at the right moment within the consumer buying journey. Before diving deeper into the solution, we start by highlighting the creative experience of an advertiser enabled by generative AI. We end with lessons learned.

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phData

DECEMBER 4, 2023

We’ll explore the options available to you and how they impact: Operating costs and complexity Security Performance This will allow you to get the most out of the Snowflake Data Cloud and deliver results back to the business. For example: Will each project pay for its usage? How is that funded after the project releases?

Clustering 98

Clustering Database SQL Data Pipeline 98

Snorkel AI

SEPTEMBER 12, 2023

Chief Data Scientist DJ Patil recently sat down with Alex Ratner, Co-Founder and CEO of Snorkel AI. The two held a wide-ranging conversation covering topics including what it was like to be the first U.S. Chief Data Scientist, and where the title “data scientist” came from. Former U.S. That sounds awesome. “The U.S.

Data Scientist 59

Data Scientist Data Science AI AI 59

Snorkel AI

SEPTEMBER 12, 2023

Chief Data Scientist DJ Patil recently sat down with Alex Ratner, Co-Founder and CEO of Snorkel AI. The two held a wide-ranging conversation covering topics including what it was like to be the first U.S. Chief Data Scientist, and where the title “data scientist” came from. Former U.S. That sounds awesome. “The U.S.

Data Scientist 59

Data Scientist Data Science AI AI 59

Dataconomy

JULY 18, 2023

We aim to shed light on the ethical dilemmas that arise when the boundaries of AI are blurred and the responsibility that befalls the AI community to ensure that such technology is wielded responsibly for the betterment of humanity. WormGPT, an unhinged and dangerous ChatGPT alternative, is a double-edged sword with two distinct faces.

AI 171

AI AI Artificial Intelligence Artificial Intelligence 171

ODSC - Open Data Science

OCTOBER 6, 2023

I define prompt engineering as “the process for discovering prompts that reliably yield useful or desired results”, and it’s the reliability that’s the hard part. You might run the exact same prompt 100 times, and on the 101st try it gives you a racist response, make something up, or completely fail to do a task.

Python 52

Python Data Science AI AI 52

The MLOps Blog

AUGUST 3, 2023

Stefan is a software engineer, data scientist, and has been doing work as an ML engineer. He also ran the data platform in his previous company and is also co-creator of open-source framework, Hamilton. I also recently found out, you are the CEO of DAGWorks. I’m excited to talk with you, Piotr and Aurimas.

ML 52

ML ML Data Scientist Machine Learning 52

PyImageSearch

MARCH 4, 2024

Review: Million-Token AI Changes Everything What Is a Large Language Model (LLM)? What Is Google Gemini? Let’s explore what we know about Gemini 1.5 Let’s explore what we know about Gemini 1.5 What Is a Large Language Model (LLM)? What the Heck Is a Large Language Model (LLM)? What Does That Actually Mean?

AI 67

AI AI Deep Learning Deep Learning 67

Tableau

JANUARY 26, 2022

Editor's note: This article originally appeared in Forbes , by Sarah Nell-Rodriquez, Senior Manager of Customer Success, Tableau. For business leaders, this meant an organizational shift toward more data-driven jobs and a heightened focus on data skills—a transition that revealed the widespread lack of data skills and data literacy.

Analytics 98

Analytics Analytics Tableau Data Scientist 98

Tableau

JANUARY 26, 2022

Editor's note: This article originally appeared in Forbes , by Sarah Nell-Rodriquez, Senior Manager of Customer Success, Tableau. For business leaders, this meant an organizational shift toward more data-driven jobs and a heightened focus on data skills—a transition that revealed the widespread lack of data skills and data literacy.

Analytics 98

Analytics Analytics Tableau Data Scientist 98

Flipboard

SEPTEMBER 4, 2023

What Are Containers? How Do Containers Differ from Virtual Machines? You make a Machine Learning (ML) pipeline that does everything, from gathering and preparing data to making predictions. All the individual blocks are in the proper order, and you ensure everything works like a well-oiled machine. What Are Containers?

Machine Learning 109

Machine Learning Machine Learning Deep Learning Deep Learning 109

ODSC - Open Data Science

FEBRUARY 14, 2023

Trained with 570 GB of data from books and all the written text on the internet, ChatGPT is an impressive example of the training that goes into the creation of conversational AI. It’s a preview of progress; we have lots of work to do on robustness and truthfulness.” The feel is groundbreaking, but it’s not that simple.

Database 124

Database AI AI Natural Language Processing 124

Kaggle

JULY 29, 2020

With sports (and everything else) cancelled, this data scientist decided to take on COVID-19 | A Winner’s Interview with David Mezzetti When his hobbies went on hiatus, Kaggler David Mezzetti made fighting COVID-19 his mission. He previously co-founded and built Data Works into a 50+ person well-respected software services company.

ETL 71

ETL Data Scientist Machine Learning Machine Learning 71

The MLOps Blog

JULY 18, 2023

I’m Sabine, your host, and I’m joined, as always, by my co-host Stephen. You have a bit of education in music composition, math, and science before you get more into the software engineering side of things. Hi, Jason, and welcome. Jason: Hi Sabine, how’s it going? Sabine: Awesome.

AI 52

AI AI Natural Language Processing Machine Learning 52

PyImageSearch

DECEMBER 25, 2023

Google and Generative AI What’s the Buzz? What Is Generative AI? Just look at the number of times Sundar Pichai used the terms “AI” and “Generative AI” in the Google IO 2023 keynote: Google I/O 2023 keynote in 14 seconds What’s the Buzz? What Is Generative AI? T’is the Time … for GenAI!

Deep Learning 116

Deep Learning Deep Learning AI AI 116

The MLOps Blog

OCTOBER 20, 2023

Jupyter notebooks have been one of the most controversial tools in the data science community. Nevertheless, many data scientists will agree that they can be really valuable – if used well. I’ll show you best practices for using Jupyter Notebooks for exploratory data analysis. How has this AB test performed?

SQL 52

SQL Database Data Scientist Python 52

Flipboard

DECEMBER 6, 2023

These datasets are often a mix of numerical and text data, at times structured, unstructured, or semi-structured. In today’s fast-paced and data-driven financial landscape, Investor Relations Officers (IROs) play a critical role in fostering communication between a company and its shareholders, analysts, and investors.

SQL 130

SQL Database AWS Machine Learning 130

AWS Machine Learning Blog

SEPTEMBER 6, 2023

Despite the great generalization capabilities of these models, there are often use cases that have very specific domain data (such as healthcare or financial services), because of which these models may not be able to provide good results for these use cases. Fine-tuned LLMs, called Llama-2-chat, are optimized for dialogue use cases.

ML 94

ML ML Machine Learning Machine Learning 94

Flipboard

MARCH 27, 2023

Table of Contents What’s New in PyTorch 2.0? What’s New in PyTorch 2.0? The success of PyTorch is attributed to its simplicity, first-class Python integration, and imperative style of programming. It has provided some of the best abstractions for distributed training, data loading, and automatic differentiation.

Deep Learning 117

Deep Learning Deep Learning Python Natural Language Processing 117

Mlearning.ai

MAY 23, 2023

Hey guys, in this blog we will see some of the most asked Data Science Interview Questions by interviewers in [year]. Data science has become an integral part of many industries, and as a result, the demand for skilled data scientists is soaring. What is Data Science?

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52

ODSC - Open Data Science

JULY 20, 2023

The data center investment use case is of particular interest because data centers have been growing in size and complexity and will continue to do so. Many workers need to leverage the power of data center technology to get their work done and meet their missions responsibly and profitably.

AI 52

AI AI Cloud Computing Data Scientist 52

Hacker News

NOVEMBER 10, 2021

I call it the ruliad. It’s yet another surprising construct that’s arisen from our Physics Project. And it’s one that I think has extremely deep implications—both in science and beyond. But to ground things here, let’s start with a slightly technical discussion of what the ruliad is. &#10005.

Computer Science 174

Computer Science Computer Science Algorithm 174

The MLOps Blog

MARCH 21, 2023

From gathering and processing data to building models through experiments, deploying the best ones, and managing them at scale for continuous value in production—it’s a lot. As the number of ML-powered apps and services grows, it gets overwhelming for data scientists and ML engineers to build and deploy models at scale.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69

PyImageSearch

DECEMBER 29, 2022

Grooming is taking your product’s to-do list of work and transforming it into a product backlog. Then, it’s back to work for the developers except now they have a clear idea of what work is coming next. If you’d like to learn how to groom or refine your backlog so you’re ready for your Sprint, just keep reading.

Clustering 52

Clustering 52

PyImageSearch

JULY 24, 2023

Home Table of Contents What Is Keras Core? What Is Keras Core? Source: François Chollet First, let’s clarify what Keras is. Configuring Your Development Environment Let’s Talk about Keras! This lesson introduces Keras Core and its multi-backend functionalities.

Deep Learning 98

Deep Learning Deep Learning Machine Learning Machine Learning 98

Explosion

JUNE 18, 2021

We’ve been running Explosion for about five years now, which has given us a lot of insights into what Natural Language Processing looks like in industry contexts. This blog post is based on talks I gave at the “Teaching NLP” workshop at NAACL 2021 and the L3-AI online conference. I call this “Applied NLP Thinking”.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Clustering 52

PyImageSearch

FEBRUARY 20, 2023

What Is JAX? What Is JAX (revisited)? We’ll keep the language simple and avoid using jargon, but if you need help understanding anything, please let us know , and we’ll do our best to help. Introduction Configuring Your Development Environment Having Problems Configuring Your Development Environment? ? autograd XLA

Machine Learning 114

Machine Learning Machine Learning Deep Learning Deep Learning 114

Flipboard

FEBRUARY 13, 2023

Project Structure Creating Our Configuration File Creating Our Data Pipeline Preprocessing Faces: Detection and Cropping Summary Citation Information Building a Dataset for Triplet Loss with Keras and TensorFlow In today’s tutorial, we will take the first step toward building our real-time face recognition application.

Data Pipeline 106

Data Pipeline Deep Learning Deep Learning Python 106

Mlearning.ai

OCTOBER 7, 2023

Source: Image by the Author (generated using MidJourney) “I am Groot… which in tree language means, ‘Unraveling the Speed Disparity: Why Python Lags Behind Java and C++ is a tale as old as the forest. However, one common criticism lodged against Python is its execution speed, which often lags behind compiled languages like Java and C++.

Python 52

Python Data Science ML ML 52

PyImageSearch

JULY 17, 2023

visualizing the latent space, uniform sampling of data points from this latent space, and recreating images using these sampled points). visualizing the latent space, uniform sampling of data points from this latent space, and recreating images using these sampled points). We will then explore different testing situations (e.g.,

Deep Learning 98

Deep Learning Deep Learning Python Machine Learning 98

PyImageSearch

MARCH 13, 2023

Transformers Project Structure Requirements Bonus An Introduction to Image Segmentation What Is MaskFormer? ?Transformers You will learn how to: Load and preprocess the dataset Use the transformers Trainer class to train models Evaluate your trained segmentation model Project Structure For this tutorial, we will use a Colab Notebook.

Deep Learning 117

Deep Learning Deep Learning Python Computer Science 117

Heartbeat

AUGUST 9, 2023

Step 1: Getting Dataset and Heading to Notebook To download the dataset used in this project, visit this link to Kaggle, register (if you are not a member), and download: NB: The dataset is originally found in the Tensorflow Utils datasets. However, to make this more practical, we downloaded the file from Kaggle.com, a subsidiary of Google.

Python 52

Python Machine Learning Machine Learning Deep Learning 52

PyImageSearch

MAY 1, 2023

Home Table of Contents Training the YOLOv8 Object Detector for OAK-D Introduction A Primer on YOLOv8 Configuring Your Development Environment Need Help Configuring Your Development Environment? The goal would be to train a YOLOv8 variant that can learn to recognize 1 of 5 hand gestures (e.g., Looking for the source code to this post?

Deep Learning 107

Deep Learning Deep Learning Python Algorithm 107

Snorkel AI

MARCH 1, 2023

What are they and how will they impact your business? Table of contents What are foundation models? Foundation models are large AI models trained on enormous quantities of unlabeled data—usually through self-supervised learning. How do foundation models generate responses? Find out in the guide below.

Natural Language Processing 83

Natural Language Processing Supervised Learning Machine Learning Machine Learning 83

Flipboard

AUGUST 21, 2023

Project Structure What Is a Script Node in DepthAI? Home Table of Contents People Counter on OAK Introduction Configuring Your Development Environment Need Help Configuring Your Development Environment? This people-counting application aims to tally the number of individuals moving “up” or “down” within a video sequence.

Python 88

Python Deep Learning Deep Learning Algorithm 88

Flipboard

MARCH 6, 2023

Project Structure Implementing Siamese Model and Triplet Loss Summary Credits Citation Information Triplet Loss with Keras and TensorFlow In today’s tutorial, we will try to understand the formulation of the triplet loss and build our Siamese Network Model in Keras and TensorFlow, which will be used to develop our Face Recognition application.

Deep Learning 97

Deep Learning Deep Learning Data Pipeline Computer Science 97