Sat.Feb 18, 2023 - Fri.Feb 24, 2023

article thumbnail

Essential A/B Testing Course for Data Science

KDnuggets

The course explains the core foundations and experiment design process for A/B testing, along with the case studies.

article thumbnail

Google Cloud Unveils Its 2023 Data and AI Trends Report

insideBIGDATA

Google Cloud worked with IDC on multiple studies involving global organizations across industries in order to explore how data leaders are successfully addressing key data and AI challenges. The company compiled the results in its 2023 Data and AI Trends report. In it, you'll find the metrics-rich research behind the top five data and AI trends, along with tips and customer examples for incorporating them into your plans.

AI 545
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Training a PyTorch Model with DataLoader and Dataset

Machine Learning Mastery

When you build and train a PyTorch deep learning model, you can provide the training data in several different ways. Ultimately, a PyTorch model works like a function that takes a PyTorch tensor and returns you another tensor. You have a lot of freedom in how to get the input tensors. Probably the easiest is […] The post Training a PyTorch Model with DataLoader and Dataset appeared first on MachineLearningMastery.com.

article thumbnail

A Deep Dive into Data Replication: Most Effective Way to Protect Your Data 

Analytics Vidhya

Introduction Data replication is also known as database replication, which is copying data to ensure that all information remains consistent across all data resources in real-time. data replication is like a safety net that keeps your information safe from disappearing or falling through the cracks. In most cases, data alters. It is constantly changing.

Database 321
article thumbnail

Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

article thumbnail

5 Statistical Paradoxes Data Scientists Should Know

KDnuggets

Knowing these 5 statistical paradoxes is essential for data scientists to improve their analyses and machine learning models.

article thumbnail

Book Review: Tree-based Methods for Statistical Learning in R

insideBIGDATA

Here’s a new title that is a “must have” for any data scientist who uses the R language. It’s a wonderful learning resource for tree-based techniques in statistical learning, one that’s become my go-to text when I find the need to do a deep dive into various ML topic areas for my work.

More Trending

article thumbnail

Deep Learning in Banking: Colombian Peso Banknote Detection

Analytics Vidhya

Introduction Fake banknotes can easily become a problem for both small and large business enterprises. Being able to identify these banknotes when they are not genuine is very vital. This process could be time-consuming for everyday business professionals and individuals dealing with cash. This calls for a need to achieve this goal via automation. Thanks […] The post Deep Learning in Banking: Colombian Peso Banknote Detection appeared first on Analytics Vidhya.

article thumbnail

Data Cleaning with Python Cheat Sheet

KDnuggets

An intuitive guide that will help you to prepare and preprocess your dataset before applying the machine learning model.

Python 400
article thumbnail

Heard on the Street – 2/21/2023

insideBIGDATA

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

Big Data 415
article thumbnail

Using Dropout Regularization in PyTorch Models

Machine Learning Mastery

Dropout is a simple and powerful regularization technique for neural networks and deep learning models. In this post, you will discover the Dropout regularization technique and how to apply it to your models in PyTorch models. After reading this post, you will know: How the Dropout regularization technique works How to use Dropout on your […] The post Using Dropout Regularization in PyTorch Models appeared first on MachineLearningMastery.com.

article thumbnail

From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

article thumbnail

Step-by-step Guide to Become a Data Scientist in Retail Industry

Analytics Vidhya

Introduction Data analysts with the technological know-how to tackle challenging problems are data scientists. They collect, analyze, interpret data, and handle statistics, mathematics, and computer science. They are accountable for providing insights that go beyond statistical analyses. A data scientist’s function is highly transferable, and data scientist employment is available in private and public sectors, […] The post Step-by-step Guide to Become a Data Scientist in Retail Indu

article thumbnail

RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning

ML @ CMU

Figure 1 : Overview of RL Prompt for discrete prompt optimization. All language models (LMs) are frozen. We build our policy network by training a task-specific multi-layer perceptron (MLP) network inserted into a frozen pre-trained LM. The figure above illustrates 1) generation of a prompt ( left ), 2) example usages in a masked LM for classification ( top right ) and a left-to-right LM for generation ( bottom right ), and 3) update of the MLP using RL reward signals ( red arrows ).

article thumbnail

Research Highlights: A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

insideBIGDATA

The Pretrained Foundation Models (PFMs) are regarded as the foundation for various downstream tasks with different data modalities. A pretrained foundation model, such as BERT, GPT-3, MAE, DALLE-E, and ChatGPT, is trained on large-scale data which provides a reasonable parameter initialization for a wide range of downstream applications.

article thumbnail

ChatGPT, GPT-4, and More Generative AI News

KDnuggets

A short review of developments in the AI world.

AI 392
article thumbnail

Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

article thumbnail

Mask R-CNN for Instance Segmentation Using Pytorch

Analytics Vidhya

Introduction From the 2000s onward, Many convolutional neural networks have been emerging, trying to push the limits of their antecedents by applying state-of-the-art techniques. The ultimate goal of these deep learning algorithms is to mimic the human eye’s capacity to perceive the surrounding environment. Image classification, object detection, optical character recognition, and image segmentation tasks […] The post Mask R-CNN for Instance Segmentation Using Pytorch appeared first

article thumbnail

Decisions made better: Comparing the role of AI and AU

Dataconomy

As the world becomes increasingly digital, businesses are turning to technology to stay ahead of the competition. Data-driven decision making is becoming more critical than ever before, and two technologies that have captured the imagination of businesses worldwide are artificial intelligence (AI) and augmented intelligence (AU).

article thumbnail

Who’s Behind the Botnet-Based Service BHProxies?

Hacker News

A security firm has discovered that a six-year-old crafty botnet known as Mylobot appears to be powering a residential proxy service called BHProxies , which offers paying customers the ability to route their web traffic anonymously through compromised computers. Here’s a closer look at Mylobot, and a deep dive into who may be responsible for operating the BHProxies service.

Database 181
article thumbnail

Importance of Pre-Processing in Machine Learning

KDnuggets

Learn how pre-processing improves the performance of machine learning models.

article thumbnail

Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

article thumbnail

Top 20 Big Data Tools Used By Professionals in 2023

Analytics Vidhya

Introduction Big Data is a large and complex dataset generated by various sources and grows exponentially. It is so extensive and diverse that traditional data processing methods cannot handle it. The volume, velocity, and variety of Big Data can make it difficult to process and analyze. Still, it provides valuable insights and information that can […] The post Top 20 Big Data Tools Used By Professionals in 2023 appeared first on Analytics Vidhya.

Big Data 302
article thumbnail

You.com’s AI-powered features are already in use, unlike Bing and Google

Dataconomy

You.com’s AI-powered features have started to attract attention. You.com is a search engine driven by artificial intelligence that offers a chatbot, an image generator, and more. Have you had enough of the Bing AI waitlist, the ChatGPT issues, the instabilities of Google’s Bard AI, and the fact that any AI tool you enjoy costs money?

article thumbnail

AI-Created Images Aren’t Protected By Copyright Law According To U.S. Copyright Office

Flipboard

The U.S. Copyright Office has ruled that illustrations in a new comic book that were created with the AI program Midjourney are not protected by copyright law, according to a letter issued by the Copyright Office.

AI 181
article thumbnail

The Ultimate Guide to Java Virtual Threads

Hacker News

Another tour de force by Riccardo Cardin. Riccardo is a proud alumnus of Rock the JVM, now a senior engineer working on critical systems written in Java, Scala and Kotlin. Version 19 of Java came at the end of 2022, bringing us a lot of exciting stuff. One of the coolest is the preview of some hot topics concerning Project Loom: virtual threads ( JEP 425 ) and structured concurrency ( JEP 428 ).

181
181
article thumbnail

How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

article thumbnail

10 Interview Questions on GCP for the Senior/Manager Role

Analytics Vidhya

Introduction Suppose you are appearing in an interview for the manager or senior role. In that case, it’s important to have a deep understanding of the Google Cloud Platform and also must have the quality to lead the team in deployment and have the quality for cost optimization and security, and be able to communicate […] The post 10 Interview Questions on GCP for the Senior/Manager Role appeared first on Analytics Vidhya.

Analytics 297
article thumbnail

Wealthy Percentiles Rising

FlowingData

The rich continue to get richer, and everyone else either only kind of earns more or stays where they’re at. This chart shows how Americans in the 99th percentile, or the top 1%, separated from the bottom more over the years.

143
143
article thumbnail

2023 data, ML and AI landscape: ChatGPT, generative AI and more

Flipboard

It’s been less than 18 months since we published our last MAD (Machine Learning, Artificial Intelligence and Data) landscape, and there have been dramatic developments in that time.

ML 180
article thumbnail

Professor says he was barred from campus after Monsanto info request

Hacker News

Image: A professor who frequently testifies against Monsanto Co. in lawsuits alleging harm from toxic environmental pollutants called PCBs says that after a Monsanto lawyer filed a records request with his university, the university barred him from campus and offered him a resignation deal. “That was the very first thing that they gave me,” said the professor, David Carpenter of the University at Albany, part of the State University of New York, regarding the resignation offer.

148
148
article thumbnail

The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

article thumbnail

Imputing Missing Dates(not Data) in Python

Analytics Vidhya

Introduction Imputing missing values is a crucial step when dealing with data. It is one of the steps performed in the Data Analysis. And coming to time-series data, the missing dates play a major role in the overall analysis or when we are trying to visualize the time-series data. If the missing dates are untouched, the […] The post Imputing Missing Dates(not Data) in Python appeared first on Analytics Vidhya.

Python 289
article thumbnail

Planning for AGI and beyond

OpenAI

Our mission is to ensure that artificial general intelligence—AI systems that are generally smarter than humans—benefits all of humanity.

AI 145
article thumbnail

ChatGPT, Bing Chat and the AI ghost in the machine

Flipboard

New York Times reporter Kevin Roose recently had a close encounter of the robotic kind with a shadow-self that seemingly emerged from Bing’s new chatbot — Bing Chat — also known as “Sydney.” News of this interaction quickly went viral and now serves as a cautionary tale about AI.

AI 177
article thumbnail

AMD CEO: The Next Challenge is Energy Efficiency

Hacker News

“Over the next decade, we must think of energy efficiency as the most important challenge,” Lisa Su , CEO of AMD told engineers at the 2023 IEEE International Solid State Circuits Conference (ISSCC) in San Francisco. Despite a slow-down of Moore’s Law, other factors have pushed mainstream computing capabilities to double about every two-and-a-half years.

Algorithm 139
article thumbnail

Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.