Heartbeat

JULY 6, 2023

Photo by Tom Crew on Unsplash Introduction The impact of the digital world is vast and far-reaching, shaping various aspects of our daily lives, and as time passes, humans are getting surrounded by more digital stuff. In this article, you will learn about object detection through the SWIN Transformer. What is the Swin Transformer?

Deep Learning 59

Deep Learning Deep Learning Natural Language Processing Supervised Learning 59

Heartbeat

APRIL 10, 2023

The ability to provide a good starting point for the model and guide it to produce the right output plays a key role for applications that can be integrated into daily work and make life easier. years, Facebook ten months and Instagram two months. This language model was trained on a 300 billion word (~570 GB) dataset and fine-tuned on GPT-3.5

Artificial Intelligence 83

Artificial Intelligence Artificial Intelligence Deep Learning Deep Learning 83

AssemblyAI

MAY 2, 2023

Explanations will span all experience levels so that all readers can better understand how this technology works as it becomes more integrated into our daily lives. Generative AI can be used to automatically generate useful documents during or after a meeting Generative AI can be applied in other domains too.

AI 129

AI AI Support Vector Machines Artificial Intelligence 129

Heartbeat

OCTOBER 13, 2023

Here are some key concepts and components of Time Series Analysis: Temporal Data: Time series data consists of observations or measurements taken at specific time intervals, such as daily stock prices, hourly temperature readings, monthly sales figures, etc. What is Time Series Analysis?

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

Heartbeat

SEPTEMBER 28, 2023

Customer churn refers to the phenomenon where customers stop using your service or product. Project Objective The goal of our project is to predict customer churn for telecommunications companies using a model stacking approach. Dataset This project uses the “ Telco Customer Churn ” dataset available on Kaggle.

Support Vector Machines 52

Support Vector Machines Machine Learning Machine Learning ML 52

Heartbeat

DECEMBER 22, 2023

Both ways: off-the-shelf and using LCEL Photo by Etienne Boulanger on Unsplash Conversational Agents Conversational agents in LangChain facilitate interactive and dynamic conversations with users. 3) Dynamic Decision-making: Conversational agents can make dynamic decisions based on the current conversation context and available information.

Data Science 52

Data Science Data Scientist Deep Learning Deep Learning 52

Heartbeat

MARCH 28, 2023

A complete guide to building a deep learning project with PyTorch, tracking an Experiment with Comet ML, and deploying an app with Gradio on HuggingFace Image by Freepik AI tools such as ChatGPT, DALL-E, and Midjourney are increasingly becoming a part of our daily lives. We briefly talked about the libraries we’ll use.

Deep Learning 52

Deep Learning Deep Learning ML ML 52

Heartbeat

AUGUST 16, 2023

In this article, I’ll walk you through the practical implementation of the same from data collection to deployment, so be ready with your popcorn and let us start streaming. Most of the open data I found online were related to daily activities or sports. Most of the open data I found online were related to daily activities or sports.

Python 52

Python Deep Learning Deep Learning ML 52

ODSC - Open Data Science

APRIL 24, 2023

A common problem in the cybersecurity industry is how to detect and track botnets from billions of daily attacks and millions of daily attacking IPs. With millions of daily attacking IPs, botnet detection presents a scale problem, and therefore choosing the most relevant data is the most challenging task.

Clustering 52

Clustering SQL Algorithm ML 52

Heartbeat

FEBRUARY 14, 2024

In the dynamic landscape of social media, where vast amounts of user-generated content are shared daily, sentiment analysis becomes a crucial tool for deciphering the sentiments expressed in online conversations. Understanding sentiment holds substantial significance across various domains. Setting up the environment.

Python 52

Python Deep Learning Deep Learning Machine Learning 52

PyImageSearch

JUNE 19, 2023

With the rise of the internet and the increasing use of smart devices, it has become more important than ever to understand user preferences and provide personalized content and services. machine learning, statistics, probability, and algebra) are used to achieve this. It first analyzes the usefulness of each item in a given set (e.g.,

K-nearest Neighbors 56

K-nearest Neighbors Clustering Algorithm Deep Learning 56

PyImageSearch

JULY 3, 2023

This lesson is the 2nd in a 3-part series on Deep Dive into Popular Recommendation Engines 101 : Fundamentals of Recommendation Systems Netflix Movies and Series Recommendation Systems (this tutorial) LinkedIn Jobs Recommendation Systems To learn how Netflix recommendation systems work, just keep reading. Each item has rich metadata (e.g.,

Deep Learning 52

Deep Learning Deep Learning Algorithm Machine Learning 52

Heartbeat

DECEMBER 5, 2023

Up to 4X Higher AI Training on GPT-3 The H100 is equipped with 18,432 CUDA cores, 640 Tensor Cores, 128 RT Cores, and 80 Streaming Multiprocessors (SMs), representing a new level in optimizing AI tasks. Want to learn how to build modern software with LLMs using the newest tools and techniques in the field?

Natural Language Processing 52

Natural Language Processing Deep Learning Deep Learning AI 52

PyImageSearch

AUGUST 7, 2023

This lesson is the last in a 3-part series on Deep Dive into Popular Recommendation Engines 101 : Fundamentals of Recommendation Systems Netflix Movies and Series Recommendation Systems LinkedIn Jobs Recommendation Systems (this tutorial) To learn how LinkedIn recommendations work, just keep reading. LinkedIn Engineering ).

Deep Learning 98

Deep Learning Deep Learning Algorithm Artificial Intelligence 98

Flipboard

JULY 31, 2023

In this post, we’ll show you the datasets you can use to build your machine learning projects. Brief Background of Machine Learning Did you know that machine learning is a part of artificial intelligence that enables computers to learn from data without explicit programming using statistical techniques? Many call this software 2.0.

Machine Learning 104

Machine Learning Machine Learning Deep Learning Deep Learning 104

ODSC - Open Data Science

APRIL 10, 2023

The need for data science expertise to implement modeling strategies that produce useful results. Machine learning is starting to go mainstream, graduating out of the research lab and making its way into products. But “doing machine learning” is not your typical engineering task. Consider data engineering as an example.

ML 52

ML ML Machine Learning Machine Learning 52