DrivenData Labs

JANUARY 22, 2024

from_pandas ( test ) test Out[12]: Dataset({ features: ['note_id', 'input_ids', 'attention_mask', 'labels', 'chunk_id', 'chunk_span', 'offset_mapping', 'text', 'concept_ids'], num_rows: 152 }) In [13]: # The data collator handles batching for us. history = dict () self.

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O'Reilly Media

APRIL 23, 2024

In the discussion following the talk, Simon noted that in the future, information would be so abundant that we would need machines to help us manage our attention. They used location data and past searches to make answers more relevant and personalized. And that has indeed been the secret to success in the information age.

Algorithm 107

Algorithm AI AI Cloud Computing 107

Heartbeat

FEBRUARY 15, 2023

It is a supervised learning methodology that predicts if a piece of text belongs to one category or the other. Also, make sure you add the model evaluation using the validation sets created above. plot(history) Make sure you log the training loss and accuracy metrics to Comet ML.

ML 52

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AWS Machine Learning Blog

OCTOBER 6, 2023

Features are the inputs used during training and inference of ML models. For instance, in an application that recommends movies, features could include previous ratings, preference categories, and demographics. Finally, please draft the email to reflect the tone of the user's preferred categories.

AI 106

AI AI Natural Language Processing ML 106

Pickl AI

MAY 29, 2024

It helps us identify patterns, trends, and outliers that might be missed in spreadsheets. By presenting information visually, data visualization allows us to communicate insights clearly and effectively to a wider audience. Bar charts compare categories, line graphs show trends, and pie charts reveal composition.

Data Visualization 52

Data Visualization Analytics Analytics Power BI 52

The MLOps Blog

JANUARY 18, 2023

I found that Corporación Favorita, a large Ecuadorian-based grocery retailer, has made their data available for us at Kaggle. Time Series forecasting using deep learning models can help retailers make more informed and strategic decisions about their operations and improve their competitiveness in the market.

Deep Learning 52

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PyImageSearch

FEBRUARY 6, 2023

The Vegetable Image Dataset comprises 15 vegetable images, with 224×224 color images of 21,000 different vegetables from 15 categories and 1400 images per category. Figure 2 shows 9 of the 15 vegetable image categories from the dataset. Figure 2: Analyzing a few categories from the vegetable image classification dataset.

Deep Learning 144

Deep Learning Deep Learning Python Data Analysis 144

Heartbeat

NOVEMBER 22, 2023

The traveler is interested in art, history, and local cuisine. Create an engaging and culturally rich itinerary that balances art, history, and local culinary experiences for the solo traveler. Want to learn how to build modern software with LLMs using the newest tools and techniques in the field?

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Dataconomy

SEPTEMBER 11, 2023

Telemetry data offers us a way to automatically collect and analyze data, providing insights into how we can improve our products and services. Let’s take a closer look at what telemetry data can offer us in this regard. Two types, one goal Telemetry data can be broadly classified into two categories: active and passive data.

Analytics 103

Analytics Analytics Algorithm ML 103

AWS Machine Learning Blog

OCTOBER 18, 2023

Purina US, a subsidiary of Nestle, has a long history of enabling people to more easily adopt pets through Petfinder , a digital marketplace of over 11,000 animal shelters and rescue groups across the US, Canada, and Mexico. It is already trained on tens of millions of images across many categories.

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Smart Data Collective

MAY 10, 2022

They consider numerous factors such as outstanding debt, payment history, credit history length, and credit card utilization. The human operator has to double-check only when the AI detects red flags in a borrower’s credit history. The US Federal Trade Commission said consumers lost $5.8 Fraud Detection.

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Dataconomy

APRIL 18, 2023

While we may use AI chatbots and other AI-powered tools every day, many of us may not be familiar with the underlying principles and techniques that make these technologies possible. Machine learning techniques can be broadly classified into three categories: supervised learning, unsupervised learning, and reinforcement learning.

Artificial Intelligence 113

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Chatbots Life

MAY 30, 2024

Bill Gates If Bill Gates is worried about customers leaving, then where does that leave the rest of us? Now that we have the definition, let us see how important in-app customer support is. Essential in-app support tools Here are some of the most essential tools that fall under the category of in-app support.

AI 69

AI AI Analytics Analytics 69

Towards AI

FEBRUARY 25, 2023

What were the “best” events in TED history to attend? We are using Pandas for data manipulation. Pandas have a lot of function that allows us to discover our data effectively and quickly. The Shape of the Data Use ‘.shape’ Table of Contents: Exploratory Data Analysis is all about answering a specific question.

Data Analysis 97

Data Analysis Data Analysis Exploratory Data Analysis Data Science 97

AWS Machine Learning Blog

MARCH 2, 2023

This can be useful for shared data repositories that contain content belonging to different categories, classification and file types. After completing all the steps in this section, you have a data source that Amazon Kendra can use. On the AWS Management Console , in the Region list, choose US East (N. Choose Services.

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AWS Database Machine Learning Machine Learning 85

phData

MARCH 18, 2024

Here is a sample data we will use to demonstrate the different SCD Types. product_id product_name category price update_date 1 MacBook Air (15-inch, M2, 2023) Computers & Accessories $999 June 13, 2023 In the product table, we have a product, MacBook Air (15-inch, M2, 2023), and the price is $999 as of June 13, 2023.

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Data Warehouse SQL Data Pipeline Analytics 52

Dataconomy

JULY 25, 2023

Fitness trackers, a popular category of wearable computers, were first introduced in the early 2000s, with the Fitbit being one of the pioneering brands ( Image Credit ) What is a wearable computer? Let’s take a brief trip through time to explore the key milestones in the history of wearable computers. Feels awesome, right?

Internet of Things 91

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Mlearning.ai

JUNE 18, 2023

We will use Python to help us do this. We will use Python to help us do this. obj.names # This file contains the categories of all the objects in the dataset. # The index of the category serves as its numerical category. The index of the category serves as its numerical category.

Deep Learning 52

Deep Learning Deep Learning Python ML 52

Explosion

NOVEMBER 28, 2023

we have also exposed the session factory component that allows you to fully customize the process of session initialization e.g. you could prepopulate each new session with a custom history. For token-level annotation we propose the pairwise F1 score, that also comes with a confusion matrix to help identify problematic pairs of categories.

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Hacker News

MARCH 15, 2023

And all I’ll be able to do here is give a snapshot of my current thinking—which will inevitably be incomplete—not least because, as I’ll discuss, trying to predict how history in an area like this will unfold is something that runs straight into an issue of basic science: the phenomenon of computational irreducibility.

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AI AI Artificial Intelligence Artificial Intelligence 177

Heartbeat

MAY 8, 2023

astype(int) plt.figure(figsize = (15,2)) plt.imshow(X[index]) plt.xlabel(classes[y[index]]) Fig 1 After viewing the various categories of leaves we then start building our ML model. The training process is saved to the ‘history’ variable. The training process is saved to the ‘history’ variable.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

IBM Journey to AI blog

OCTOBER 16, 2023

ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history. Some companies also set up chatbots on Slack, using ML to answer questions and requests.

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Machine Learning Machine Learning ML ML 49

Mlearning.ai

MARCH 24, 2023

Photo by Guillaume Périgois on Unsplash EU AI Act: History and Timeline 2018 : EU Commission starts pilot project on ‘Explainable AI’. Harnessing its power to improve our lives and solve our greatest challenges, requires us to understand how this technology works by improving our knowledge and skills.

Artificial Intelligence 52

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DataSeries

JANUARY 18, 2023

In some models, this can be a quantitative analysis of historical performance by an athlete or a team, such as average possession and pass rates in soccer or the history two players have in matchups in games like tennis. Such machine learning models are multivariate, meaning they factor in many variables when making predictions.

Machine Learning 52

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 52

Flipboard

NOVEMBER 9, 2023

This post is structured around 5 core use cases for ease of comprehension, but we’ve found another helpful way to categorize these products is by target audience — products built for everyday consumers vary greatly from prosumers/creators with commercial use cases. And we like the sound of that!

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AWS Machine Learning Blog

FEBRUARY 13, 2024

For example, the analytics team may curate features like customer profile, transaction history, and product catalogs in a central management account. There are two distinct categories of permissions associated with sharing resources: Discoverability permissions – Discoverability means being able to see feature group names and metadata.

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Mlearning.ai

JUNE 27, 2023

If you’re interested in collaborating with such a team, or just want to consult on the need for incorporating machine learning into your marketing processes, please, contact us. Let’s start our list of machine learning marketing use cases with Netflix. Each of us is probably familiar with this streaming platform.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Hacker News

NOVEMBER 10, 2021

But here we can use the Principle of Computational Equivalence to tell us that whatever “basis” we use, what comes out will eventually be effectively equivalent. Above we used string substitution systems. But an observer like us doesn’t trace this whole pattern. But equivalence entangles them.

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Computer Science Computer Science Algorithm 182

Dataconomy

MARCH 14, 2023

In comparison to the current internal state-of-the-art model, the USM has a 6% relatively lower WER for en-US. For the comparison, only the 18 languages that Whisper can decode with lower than 40% WER were used. The USM achieves a lower WER with and without in-domain data training.

Natural Language Processing 70

Natural Language Processing Machine Learning Machine Learning Supervised Learning 70

Heartbeat

JANUARY 5, 2024

Secondly, you can pass the data to a prompt through Prompt Stuffing , the more straightforward way provided by LangChain’s indexing category. Additionally, message history tools ensure conversation consistency by providing the chatbot with adequate memory. LangChain prompt templates can give you control over a chatbot’s responses.

AI 52

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Data Science 101

OCTOBER 31, 2019

Another unsupervised learning method, clustering is the practice of assigning labels to unlabeled data using the patterns that exist in it. For example, clustering is used to group a large set of documents into categories based on the content. He possesses great interest in machine learning, astronomy and history.

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Data Mining Data Mining Data Mining Data Science 77

phData

JULY 11, 2023

component_message Text An error message returned by a component can be used in job error handling. These can also be viewed via Task History. Behavior can be broken down into two different sets of categories. Contact us today for help, advice, and actionable strategies. The first is shared and copied.

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ETL Data Pipeline Database Python 52

AWS Machine Learning Blog

JUNE 7, 2023

In this post, we show how to retrain ML models and automate batch predictions using updated datasets in Canvas. Overview of solution For our use case, we play the part of a business analyst for an ecommerce company. Our product team wants us to determine the most critical metrics that influence a shopper’s purchase decision.

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ML ML Machine Learning Machine Learning 67

Towards AI

JULY 21, 2023

His company is recruiting for select positions, apply if interested: About Us The internet is broken. FYI, for a more in-depth discussion/history on sparsity, you can check out HF’s new blog here. While little is known about this startup, it seems he’s looking to make the internet a safer place by fixing misinformation.

Natural Language Processing 91

Natural Language Processing Machine Learning Machine Learning AI 91

AWS Machine Learning Blog

FEBRUARY 8, 2024

The user input (or task) is interpreted by the agent using chat history and the instructions and underlying FM that were specified during agent creation. Your agent will sort user input into one of the following categories: Category A – Malicious or harmful inputs, even if they are fictional scenarios.

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AWS AI AI Python 115

Dataconomy

DECEMBER 6, 2023

Comprising three variants—Gemini Ultra, Pro, and Nano—this innovative AI model caters to a diverse range of tasks and applications ( Image credit ) Gemini Ultra Positioned as the largest and most capable category, Gemini Ultra is designed to excel in Massive Multitask Language Understanding (MMLU).

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Heartbeat

JANUARY 25, 2023

EDA and Data Cleaning First, you will check the frequency of the target variable: Category. check the distribution of values reddit['category'].value_counts() After removing stopwords, we are using textblob library to lemmatize the text which would finally give us the required cleaned text.

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