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

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

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

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

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.

Datasets 110

Datasets Algorithm Data Coding 110

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

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 Database Design Machine Learning 98

Christophe Blefari

FEBRUARY 16, 2024

Because I did not send the news last week you will get articles from the 2 last weeks. ByteDance boximator, create motion on images — Boximator is a friendly method to instruct generative algorithms with boxes. I really like this article. This article discuss it. Disclaimer, the 2 events below will be in French.

Food 130

Food Data SQL Government 130

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 Algorithm Relational Database PostgreSQL 52

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 89

Datasets Metadata Algorithm Architecture 89

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 106

Datasets Machine Learning Data Data Science 106

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 Scala 98

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 Cloud Storage Datasets Python 100

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

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

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 92

Building Engineering Datasets Algorithm 92

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 91

Engineering Building Datasets Algorithm 91

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

DECEMBER 21, 2023

In this article, we will investigate some of the top cloud computing research topics for 2024 and explore what we get most out of it for researchers or cloud practitioners. These topics in the paper suggest a multi-objective evolutionary algorithm (NN-MOEA) based on neural networks for dynamic workflow scheduling in cloud computing.

Cloud Computing 52

Cloud Computing Cloud Algorithm Healthcare 52

Monte Carlo

APRIL 1, 2024

And if you happen to be reading this article in a season other than spring, don’t worry: spring cleaning is acceptable (and encouraged, in fact) year-round. In this article, we’ll outline seven data cleaning best practices so your pipelines will be spick and span and ready for any season (or stakeholder). Spring cleaning is upon us.

High Quality Data 52

High Quality Data Datasets Data Data Pipeline 52

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

Knowledge Hut

DECEMBER 26, 2023

These skills are essential to collect, clean, analyze, process and manage large amounts of data to find trends and patterns in the dataset. The dataset can be either structured or unstructured or both. In this article, we will look at some of the top Data Science job roles that are in demand in 2024.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Edureka

APRIL 24, 2024

Getting Trained on Data: To perform any task, first, the generative AI models need to be trained on massive datasets of existing content. Recognising Patterns: The algorithm then recognises patterns and relationships between various data sets based on all the retrieved training data.

Pharmaceutical 52

Pharmaceutical Manufacturing Datasets Algorithm 52

Knowledge Hut

MARCH 26, 2024

On the other hand, AI, compared to human intelligence, is a product of human-designed algorithms, computational power, and data processing capabilities. AI systems are designed to analyze large amounts of data, identify patterns, and make predictions or decisions based on algorithms and computational models.

Algorithm 52

Algorithm Deep Learning Education Datasets 52

Knowledge Hut

JANUARY 18, 2024

To make sure that you can pick the right tool for your job, this article will look at some of the most popular data science programming languages used by scientists 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 75

Programming Language Data Science Programming Scala 75

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

APRIL 25, 2024

This article will discuss big data analytics technologies, technologies used in big data, and new big data technologies. Spark also supports SQL queries and machine learning algorithms. This is where algorithms are used to analyze the data and extract insights. In this blog post, we will discuss such technologies.

Big Data 98

Big Data Technology NoSQL Hadoop 98

Edureka

SEPTEMBER 11, 2023

By employing algorithms that pick up on the subtleties of the input or training data they are given, generative AI certainly provides a multifaceted approach to data generation. It accomplishes this through complex algorithms and neural network architectures, and it has vast potential across many fields.

Algorithm 52

Algorithm Entertainment Healthcare Deep Learning 52

ProjectPro

JANUARY 24, 2023

If you’re interested in how you can decode such patterns using machine learning algorithms , read this article to unleash the magic of pattern recognition in real-world. In this project, you should first download the famous Iris Dataset and implement Exploratory Data Analysis techniques over it. Can computers do that too?

Project 52

Project Datasets Algorithm Data Science 52

Knowledge Hut

JANUARY 18, 2024

In this article, I'll walk you through the fundamentals of Naive Bayes, a robust machine learning algorithm. Understanding conditional probability is crucial in various fields, aiding in decision-making, statistical analysis, and machine learning, where it plays a pivotal role in algorithms like Naive Bayes.

Machine Learning 52

Machine Learning Algorithm Datasets Python 52

Knowledge Hut

JULY 28, 2023

Below is a thorough article on Machine Learning vs Deep Learning. Parameters Machine Learning (ML) Deep Learning (DL) Feature Engineering ML algorithms rely on explicit feature extraction and engineering, where human experts define relevant features for the model. What is Machine Learning?

Deep Learning 52

Deep Learning Machine Learning Unstructured Data Algorithm 52

Knowledge Hut

DECEMBER 22, 2023

Keep reading through this article, and you will understand how do you become a data scientist and how long does it take to become a data scientist. Machine Learning: Understand and implement various machine learning algorithms, including supervised and unsupervised learning techniques. How to Become a Data Scientist? (A

Portfolio 98

Portfolio Data Science Programming Language Scala 98

Knowledge Hut

NOVEMBER 27, 2023

Additionally, proficiency in probability, statistics, programming languages such as Python and SQL, and machine learning algorithms are crucial for data science success. Through the article, we will learn what data scientists do, and how to transits to a data science career path. What Do Data Scientists Do?

Data Science 52

Data Science Datasets Machine Learning Algorithm 52

Edureka

APRIL 19, 2024

They use complex algorithms to analyze patterns in language, allowing them to generate coherent and contextually relevant text. Large Language Models (LLMs) are machine learning models that use deep learning algorithms to understand natural language. It excels in text generation tasks, such as generating articles, stories, and poetry.

Datasets 40

Datasets Utilities Algorithm Architecture 40

Knowledge Hut

DECEMBER 21, 2023

In this article, we will discuss the 10 most popular Hadoop tools which can ease the process of performing complex data transformations. With the help of Hadoop big data tools, organizations can make decisions that will be based on the analysis of multiple datasets and variables, and not just small samples or anecdotal incidents.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

AltexSoft

MAY 12, 2022

In this article, we’ll share what we’ve learnt when creating an AI-based sound recognition solutions for healthcare projects. Aiming at understanding sound data, it applies a range of technologies, including state-of-the-art deep learning algorithms. The Fast Fourer Transform (FFT) is the algorithm computing the Fourier transform.

Machine Learning 122

Machine Learning Building Datasets Healthcare 122