Picnic Engineering

OCTOBER 14, 2024

This so-called Master Planning Process (MPP) represents the planning of the Picnic supply chain path for every ordered article from the Fulfilment Centre to the customer’s door. For example, when assigning articles to totes, the goal is to distribute the articles in a way that minimises the number of totes needed.

Algorithm 75

Algorithm Datasets Java Coding 75

The Pragmatic Engineer

OCTOBER 17, 2024

In this article, we cover one section from this week’s from last week’s The Pulse issue. In this article, we cover: Funding and team size. The historical dataset is over 20M records at the time of writing! Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. Tech stack.

Cloud 273

Cloud Metadata AWS Cloud Computing 273

AltexSoft

OCTOBER 18, 2022

In this post, we’ll briefly discuss challenges you face when working with medical data and make an overview of publucly available healthcare datasets, along with practical tasks they help solve. Read our article on HIPAA violations to avoid common mistakes and associated penalties. Medical datasets comparison chart .

Medical 52

Medical Datasets Machine Learning Hospitality 52

ProjectPro

NOVEMBER 25, 2021

You will discover different models and algorithms that are widely used for text classification and representation. Applications of Text Classification Text Classification Algorithms Text Classification Models Text Classification Machine Learning NLP Project Ideas What is Text Classification?

Machine Learning 52

Machine Learning Algorithm Datasets Google Cloud 52

ProjectPro

JANUARY 11, 2022

They are built using Machine Learning algorithms. These algorithms majorly fall into two categories - supervised algorithms and unsupervised algorithms. While supervised algorithms comprise data with labels, unsupervised algorithms have unlabelled data. Yes, you are right. Regression. What is Classification?

Machine Learning 52

Machine Learning Algorithm Datasets Food 52

Analytics Vidhya

JUNE 12, 2023

Tajinder’s passion for unraveling hidden patterns in complex datasets has driven impactful outcomes, transforming raw data into actionable intelligence. In this article, we explore Tajinder’s inspiring success story.

Machine Learning 228

Machine Learning Engineering Raw Data Data Science 228

Christophe Blefari

APRIL 19, 2024

It was trained on a large dataset containing 15T tokens (compared to 2T for Llama 2). Structured generative AI — Oren explains how you can constraint generative algorithms to produce structured outputs (like JSON or SQL—seen as an AST). This article covers the whole ladder and the mix of skills needed to reach the top.

MySQL 130

MySQL Data Datasets SQL 130

Christophe Blefari

MARCH 22, 2024

At first, I'm: oh s**t, here we go again and 10 minutes later I'm lost in reading the content and picking too many articles to fit into a thousand word edition. Then I use Feedly which is connected to ~500 websites, Reddit and Medium and opens interesting articles in tabs. go check what the algorithm prepared for you.

Electronics 130

Electronics Media Data Python 130

KDnuggets

APRIL 24, 2023

The article shows effective coding procedures for fixing noisy labels in text data that improve the performance of any NLP model. The impact is proved by the comparison of the ML algorithm on starting and cleaning the dataset.

Algorithm 118

Algorithm Datasets Data Coding 118

Analytics Vidhya

JUNE 12, 2023

Tajinder’s passion for unraveling hidden patterns in complex datasets has driven impactful outcomes, transforming raw data into actionable intelligence. In this article, we explore Tajinder’s inspiring success story.

Machine Learning 183

Machine Learning Engineering Raw Data Data Science 183

ProjectPro

JANUARY 15, 2021

And honestly, there are a lot of real-world machine learning datasets around you that you can opt to start practicing your fundamental data science and machine learning skills, even without having to complete a comprehensive data science or machine learning course. Table of Contents What is a dataset in machine learning?

Machine Learning 40

Machine Learning Datasets Retail Banking 40

Christophe Blefari

JUNE 9, 2023

I search and read articles first and then I write. This way, I'll dedicate my Fridays to write original articles, explore ideas and preparing articles stock for the summer holidays. So I need to schedule articles in advance. This week a natural cluster of articles have emerged.

Data 130

Data Government SQL Coding 130

ProjectPro

JULY 9, 2021

Suppose you’re among those fascinated by the endless possibilities of deep learning technology and curious about the popular deep learning algorithms behind the scenes of popular deep learning applications. In that case, this article is for you. Introduction to Deep Learning Algorithms How do Deep Learning Algorithms Work?

Deep Learning 40

Deep Learning Algorithm Machine Learning Datasets 40

Knowledge Hut

AUGUST 16, 2024

In this article, we will look at all the technical and non-technical prerequisites to kickstart a career in Data Science. Data Science is all about dealing with huge datasets, finding trends and patterns, analysis of data, number crunching, and these are derived from the field of Mathematics and Statistics.

Data Science 52

Data Science Hadoop Unstructured Data Programming Language 52

Edureka

JUNE 7, 2024

In this article, we will take a closer look at two of the most talked about and widely used AI technologies of 2024 – generative AI and predictive AI. These models are trained on vast datasets which allow them to identify intricate patterns and relationships that human eyes might overlook. Is AI taking over the world?

Deep Learning 114

Deep Learning Media Manufacturing Algorithm 114

Netflix Tech

NOVEMBER 13, 2023

In this blog post, we will introduce speech and music detection as an enabling technology for a variety of audio applications in Film & TV, as well as introduce our speech and music activity detection (SMAD) system which we recently published as a journal article in EURASIP Journal on Audio, Speech, and Music Processing.

Datasets 92

Datasets Metadata Algorithm Architecture 92

Towards Data Science

AUGUST 29, 2023

Today, we will delve into the intricacies the problem of missing data , discover the different types of missing data we may find in the wild, and explore how we can identify and mark missing values in real-world datasets. For that matter, we’ll take a look at the adolescent tobacco study example , used in the paper. Image by Author.

Datasets 102

Datasets Machine Learning Data Data Science 102

Knowledge Hut

FEBRUARY 29, 2024

Then, based on this information from the sample, defect or abnormality the rate for whole dataset is considered. Hypothesis testing is a part of inferential statistics which uses data from a sample to analyze results about whole dataset or population. While using Amazon SageMaker datasets are quick to access and load.

Data Science 98

Data Science Datasets Machine Learning Database Design 98

Knowledge Hut

MAY 3, 2024

There have been many articles written regarding overfitting and underfitting in machine learning, but virtually all of them are merely a list of tools. "Top In this article, I'd like to outline the fundamental principles for enhancing the quality of your model and, as a result, avoid underfitting and overfitting on a specific example.

Machine Learning 52

Machine Learning Datasets Algorithm Data Science 52

Towards Data Science

OCTOBER 29, 2024

Since most machine learning algorithms are optimized for numerical data, transforming categorical data into numerical form is essential. Consider a dataset with 2,000 unique IDs, each ID linked to one of only three countries. Indonesian Domestic Flights Dataset [1] Using an example from Fig 1.

Datasets 59

Datasets Machine Learning Data Science Media 59

Christophe Blefari

DECEMBER 31, 2023

However, some excellent articles have been written and I want to end 2023 with one last big wrap on these December articles. LLMs for builders: jargons, theory & history — Mehdi, compiled in a large article all the necessary vocab to understand the basic conversation when it comes to generative. Yeah, you know.

Data 100

Data Python Cloud Storage Datasets 100

Knowledge Hut

JANUARY 12, 2024

Here is an article on Measures of Dispersion. The main agenda is to remove the redundant and dependent features by changing the dataset onto a lower-dimensional space. The main agenda is to remove the redundant and dependent features by changing the dataset onto a lower-dimensional space. What is Dimensionality Reduction?

Machine Learning 97

Machine Learning Datasets Medical Algorithm 97

Knowledge Hut

JANUARY 18, 2024

To ensure that you can pick the right tool for your job, this article will look at some of the most popular data science programming languages scientists use today. Data science is the application of scientific methods, processes, algorithms, and systems to analyze and interpret data in various forms. What Is Data Science?

Programming Language 98

Programming Language Data Science Programming Java 98

Knowledge Hut

MARCH 27, 2024

In this article, I will explore the unique roles of database vs data structure, uncovering their differences and how they work together to handle information in the world of computers. Essential in programming for tasks like sorting, searching, and organizing data within algorithms. What is a Database?

Database 52

Database Relational Database Algorithm PostgreSQL 52

Databand.ai

JULY 6, 2023

A data anomaly, also known as an outlier, is an observation or data point that deviates significantly from the norm, making it inconsistent with the rest of the dataset. Unintentional anomalies can distort the dataset, making it challenging to derive accurate insights. This is part of a series of articles about data integrity.

Datasets 52

Datasets Algorithm Machine Learning Data Analysis 52

Picnic Engineering

JANUARY 9, 2024

However, recommendations aren’t just about algorithms; it’s about helping our customers save time, find the right things, and curate the shopping experience they deserve. One example is a model focussed on customers’ repeat purchases, called Customer Article Rebuy Prediction (or CARP in short ?). What do we have, what do we want?

Machine Learning 91

Machine Learning Datasets Algorithm Systems 91

ProjectPro

JUNE 19, 2021

In this article, we will go methodically over what gradient descent is, its types and even demonstrate its working with a simple follow-along implementation of the method in Python. Gradient descent is an efficient first-order optimization algorithm for finding a differentiable function's global or local minimum.

Algorithm 52

Algorithm IT Machine Learning Deep Learning 52

KDnuggets

FEBRUARY 9, 2022

The algorithms for generating text based 10 blue-links are very different from finding visually similar or related images. In this article, we will explain one such method to build a visual search engine. We will use the Caltech 101 dataset which contains images of common objects used in daily life.

Building 89

Building Engineering Algorithm Datasets 89

KDnuggets

FEBRUARY 17, 2022

The algorithms for generating text based 10 blue-links are very different from finding visually similar or related images. In this article, we will explain one such method to build a visual search engine. We will use the Caltech 101 dataset which contains images of common objects used in daily life.

Engineering 88

Engineering Building Algorithm Datasets 88

RandomTrees

AUGUST 9, 2024

The article looks at how Gen AI transforms the drug discovery process as well as its applications, benefits, challenges, and what future it hopes to see in pharmaceutical innovation. Through algorithms, it can be possible to design drugs that have ADME profiles that are well-optimized. efficacy against a target and low side effects).

Pharmaceutical 52

Pharmaceutical Healthcare Algorithm Machine Learning 52

Knowledge Hut

JUNE 10, 2024

In this article, I delve into the most anticipated Python framework for data science, outlining their features and benefits. It also supports both vectorized and parallel computing, which is essential for working with large datasets. It provides a range of algorithms for tasks such as classification, regression, and clustering.

Data Science 52

Data Science Python Deep Learning Machine Learning 52

Knowledge Hut

MAY 31, 2023

This article will assist you to discover plenty of fascinating ideas and insights to inspire you, whether you are a tech fanatic or want to know about the future of AI. In this article, we will talk about artificial intelligence topics for the project. Let us get started! What are Artificial Intelligence Projects?

Project 96

Project Healthcare Deep Learning Transportation 96

Knowledge Hut

OCTOBER 27, 2023

This would help you lead teams, build predictive models, identify trends, and provide recommendations to management based on findings from the data analysed using advanced statistics, machine learning algorithms, mathematical models, and techniques. Code example and the link to the dataset for this project can be found in this source code.

Data Analytics 52

Data Analytics Coding Project Medical 52

Cloudera

NOVEMBER 17, 2021

TPOT is a library for performing sophisticated search over whole ML pipelines, selecting preprocessing steps and algorithm hyperparameters to optimize for your use case. In the hands of an experienced practitioner, AutoML holds much promise for automating away some of the tedious parts of building machine learning systems.

Machine Learning 124

Machine Learning Algorithm Data Science Retail 124

Knowledge Hut

FEBRUARY 1, 2024

Machine learning algorithms produce these suggestions. In this article, we'll talk about the top 9 applications of data science in e-commerce, How can company may use them to improve the consumer experience and revenue. This procedure is tricky and requires extensive data reading and filtering through a machine learning algorithm.

Data Science 96

Data Science Retail Algorithm Manufacturing 96

AltexSoft

MAY 27, 2022

This article describes how data and machine learning help control the length of stay — for the benefit of patients and medical organizations. In collaboration, they trained random forests — ensemble algorithms consisting of many decision trees — to generate individual forecasts. Medical datasets with inpatient details.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

Knowledge Hut

OCTOBER 27, 2023

In this article, we will be discussing 4 types of d ata Science Projects for resume that can strengthen your skills and enhance your resume: Data Cleaning Exploratory Data Analysis Data Visualization Machine Learning Data Cleaning A   data scientist,   most likely spend nearly 80% of their time cleaning data. Reddit datasets.

Data Science 96

Data Science Coding Project Datasets 96