AltexSoft

MAY 12, 2022

Today, we have AI and machine learning to extract insights, inaudible to human beings, from speech, voices, snoring, music, industrial and traffic noise, and other types of acoustic signals. But first, let’s go over the basics: What is the audio analysis, and what makes audio data so challenging to deal with.

Machine Learning 122

Machine Learning Building Deep Learning Datasets 122

Edureka

JULY 5, 2024

Tableau Prep is a fast and efficient data preparation and integration solution (Extract, Transform, Load process) for preparing data for analysis in other Tableau applications, such as Tableau Desktop. simultaneously making raw data efficient to form insights.

Data Preparation 40

Data Preparation Process BI ETL Tools 40

KDnuggets

DECEMBER 24, 2021

Feature selection methodologies go beyond filter, wrapper and embedded methods. In this article, I describe 3 alternative algorithms to select predictive features based on a feature importance score.

Machine Learning 154

Machine Learning Algorithm Data Preparation Python 154

Knowledge Hut

JUNE 20, 2023

A novice data scientist prepared to start a rewarding journey may need clarification on the differences between a data scientist and a machine learning engineer. Many people are learning data science for the first time and need help comprehending the two job positions.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Towards Data Science

JULY 8, 2024

Leveraging TensorFlow Transform for scaling data pipelines for production environments Photo by Suzanne D. Williams on Unsplash Data pre-processing is one of the major steps in any Machine Learning pipeline. Tensorflow Transform helps us achieve it in a distributed environment over a huge dataset.

Data Preparation 46

Data Preparation Datasets Metadata Data Ingestion 46

Cloudera

APRIL 10, 2021

When working on complex, or rigorous enterprise machine learning projects, Data Scientists and Machine Learning Engineers experience various degrees of processing lag training models at scale. To overcome this, practitioners often turn to NVIDIA GPUs to accelerate machine learning and deep learning workloads. .

Machine Learning 64

Machine Learning Data Science Deep Learning Utilities 64

InData Labs

JANUARY 12, 2021

Fundamentally, big data is unlike oil. With the help of machine learning, It provides a lot more than just profit – it offers understanding and insight, with one exception. Запись Everything You Need to Know About Data Preparation впервые появилась InData Labs.

Data Preparation 52

Data Preparation Big Data Machine Learning Utilities 52

ProjectPro

DECEMBER 16, 2021

Are you a newbie in the data science domain ready to embark on a rewarding journey but are confused between the roles of a Machine Learning Engineer vs Data Scientist? Read this article to understand the significant differences and similarities between a machine learning engineer and a data scientist.

Machine Learning 52

Machine Learning Engineering Pipeline-centric Database-centric 52

ProjectPro

AUGUST 30, 2022

This article will walk you through how one can start by exploring a loan prediction system as a data science and machine learning problem and build a system/application for loan prediction using your own machine learning project. Table of Contents What is Loan Prediction using Machine Learning?

Machine Learning 52

Machine Learning Coding Project Datasets 52

AltexSoft

MAY 5, 2023

This includes learning, reasoning, problem-solving, perception, language understanding, and decision-making. The key terms that everyone should know within the spectrum of artificial intelligence are machine learning, deep learning, computer vision , and natural language processing. The early adopters, plain and simple.”

Machine Learning 59

Machine Learning Hospitality Algorithm Deep Learning 59

AltexSoft

NOVEMBER 17, 2021

So businesses employ machine learning (ML) and Artificial Intelligence (AI) technologies for classification tasks. Namely, we’ll look at how rule-based systems and machine learning models work in this context. Machine learning classification with natural language processing (NLP).

Machine Learning 75

Machine Learning Insurance Medical Healthcare 75

Christophe Blefari

NOVEMBER 8, 2024

Skrub: Less data wrangling, more machine learning — skrub is a preprocessing / feature engineering library for tabular machine learning. Loading data into Redshift with dbt — lmao it's been ages I did not heard about Redshift, so I wanted to do a shout out.

Data 130

Data Kafka Food Data Preparation 130

Data Engineering Podcast

APRIL 28, 2024

Your host is Tobias Macey and today I'm interviewing Tsavo Knott about Pieces, a personal AI toolkit to improve the efficiency of developers Interview Introduction How did you get involved in machine learning? The Machine Learning Podcast helps you go from idea to production with machine learning.

Building 147

Building Data Lake High Quality Data Machine Learning 147

AltexSoft

DECEMBER 21, 2021

When people hear about artificial intelligence, deep learning, and machine learning , many think of movie-like robots that resemble or even outperform human intelligence. Others believe that such machines simply consume information and learn from it by themselves. What is data labeling? Source: GitHub.

Machine Learning 52

Machine Learning Process Raw Data Datasets 52

ProjectPro

JANUARY 15, 2021

Undoubtedly, everyone knows that the only best way to learn data science and machine learning is to learn them by doing diverse projects. But yes, there is definitely no other alternative to data science and machine learning projects. Table of Contents What is a dataset in machine learning?

Machine Learning 40

Machine Learning Datasets Retail Banking 40

KDnuggets

SEPTEMBER 27, 2019

Data mapping is a way to organize various bits of data into a manageable and easy-to-understand system.

Machine Learning 89

Machine Learning Data Systems Management 89

KDnuggets

JULY 20, 2022

14 Essential Git Commands for Data Scientists • Statistics and Probability for Data Science • 20 Basic Linux Commands for Data Science Beginners • 3 Ways Understanding Bayes Theorem Will Improve Your Data Science • Learn MLOps with This Free Course • Primary Supervised Learning Algorithms Used in Machine Learning • Data Preparation with SQL Cheatsheet. (..)

Data Science 154

Data Science Data Preparation Algorithm Machine Learning 154

KDnuggets

MARCH 9, 2020

Also: Linear to Logistic Regression, Explained Step by Step; Trends in Machine Learning in 2020; Tokenization and Text Data Preparation with TensorFlow & Keras; The Death of Data Scientists — will AutoML replace them?

Machine Learning 53

Machine Learning Data Science Data Preparation Data 53

Analytics Vidhya

FEBRUARY 28, 2023

Introduction Data science has taken over all economic sectors in recent times. To achieve maximum efficiency, every company strives to use various data at every stage of its operations.

Data Science 285

Data Science Data Preparation Big Data Data 285

Edureka

JULY 16, 2024

Artificial intelligence or machine learning (ML) can now be classified as a fundamental innovation in today’s growing technological world. It helps organizations gain valuable data insights in decision-making, explicitly improving customer experience. Machine Learning in AWS SageMaker How Does Amazon SageMaker Work?

AWS 52

AWS Algorithm Machine Learning Amazon Web Services 52

KDnuggets

DECEMBER 16, 2019

The new technique allows the deployment of machine learning models that operate with minimum training data.

Machine Learning 55

Machine Learning Data Preparation Data 55

ArcGIS

DECEMBER 13, 2023

This is the second in a series of blogs that showcase an end-to-end spatial data science workflow for clustering US precipitation regions.

Data Science 52

Data Science Data Preparation Data Engineering Data Engineer 52

ArcGIS

DECEMBER 13, 2023

This is the third in a series of blogs that showcase an end-to-end spatial data science workflow for clustering US precipitation regions.

Data Science 52

Data Science Data Preparation Data Engineering Data Engineer 52

Knowledge Hut

FEBRUARY 29, 2024

Database design basics with example: blog.devart.com SQL learning: w3schools.com Start Machine Learning Machine learning is a part of artificial intelligence that concentrate on the utilization of data knowledge and algorithms to follow methods that human learns and moderately improves its accuracy.

Data Science 98

Data Science Datasets Machine Learning Database Design 98

RandomTrees

AUGUST 21, 2024

Advanced Predictive Modeling : With libraries like scikit-learn and TensorFlow, Python can be used to build and deploy machine learning models directly within Power BI, providing predictive insights and trends. Solution : Use Python’s scikit-learn library to build a machine learning model.

BI 52

BI Python Datasets Machine Learning 52

ArcGIS

DECEMBER 13, 2023

This is the fourth in a series of blogs that showcase an end-to-end spatial data science workflow for clustering US precipitation regions.

Data Science 52

Data Science Data Preparation Data Machine Learning 52

Knowledge Hut

MAY 1, 2024

It is important to make use of this big data by processing it into something useful so that the organizations can use advanced analytics and insights to their advant age (generating better profits, more customer-reach, and so on). These steps will help understand the data, extract hidden patterns and put forward insights about the data.

Algorithm 98

Algorithm Raw Data Data Science Computer Science 98

Cloudera

NOVEMBER 13, 2024

Users can immediately export a fine-tuned model as a Cloudera Machine Learning Model endpoint , which can then be used in production-ready workflows. Data Preparation. Fine Tuning Studio ships natively with deep integrations with Cloudera’s AI suite of tools to deploy, host, and monitor LLMs. Monitor the Training Job.

Datasets 61

Datasets Machine Learning Coding Data Preparation 61

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps is a term that refers to the set of practices and tools that organizations use to improve the quality and speed of data analytics and machine learning. It involves bringing together people, processes, and technology to enable data-driven decision making and improve the efficiency of data-related workflows.

Machine Learning 52

Machine Learning Data Preparation Government Data Analytics 52

Snowflake

DECEMBER 5, 2023

Accelerate machine learning and AI workflows with Snowflake, Amazon SageMaker and Amazon Bedrock Amazon SageMaker is a popular machine learning (ML) platform used by developers to create, train and deploy models for a wide variety of use cases such as sales forecasting and fraud detection.

AWS 104

AWS Amazon Web Services Government Cloud Computing 104

Knowledge Hut

DECEMBER 22, 2023

Dynamic technologies like data science and AI have some intriguing data science trends to watch out for, in 2024. Check out the top 6 data science trends in 2024 any data science enthusiast should know: 1. Ever since, deep learning models have proven their efficacy by exceeding human limitations and performance.

Data Science 98

Data Science Deep Learning Machine Learning Business Intelligence 98

DataKitchen

SEPTEMBER 18, 2024

According to DataKitchen’s 2024 market research, conducted with over three dozen data quality leaders, the complexity of data quality problems stems from the diverse nature of data sources, the increasing scale of data, and the fragmented nature of data systems.

Data 72

Data Data Lake Manufacturing Machine Learning 72

Christophe Blefari

APRIL 8, 2023

At the same time Maxime Beauchemin wrote a post about Entity-Centric data modeling. Which is easier to conceptually understand but also to use in machine learning. In the recent years dbt simplified and revolutionised the tooling to create data models. The machine learning is mainly in Python and uses PyTorch.

Pipeline-centric 130

Pipeline-centric Database-centric Algorithm Data 130

Christophe Blefari

APRIL 8, 2023

At the same time Maxime Beauchemin wrote a post about Entity-Centric data modeling. Which is easier to conceptually understand but also to use in machine learning. In the recent years dbt simplified and revolutionised the tooling to create data models. The machine learning is mainly in Python and uses PyTorch.

Pipeline-centric 130

Pipeline-centric Database-centric Algorithm Data 130

DataKitchen

JULY 27, 2023

You can use it for big data analytics and machine learning workloads. Azure Databricks Delta Live Table s: These provide a more straightforward way to build and manage Data Pipelines for the latest, high-quality data in Delta Lake. It provides data prep, management, and enterprise data warehousing tools.

Data Pipeline 52

Data Pipeline BI Machine Learning Data Preparation 52

Cloudera

DECEMBER 17, 2020

When it comes to machine learning (ML) in the enterprise, there are many misconceptions about what it actually takes to effectively employ machine learning models and scale AI use cases. Accelerating the Full Machine Learning Lifecycle With Cloudera Data Platform.

Machine Learning 82

Machine Learning Data Science Data Pipeline Raw Data 82

Knowledge Hut

JANUARY 25, 2024

Data cleaning is like ensuring that the ingredients in a recipe are fresh and accurate; otherwise, the final dish won't turn out as expected. It's a foundational step in data preparation, setting the stage for meaningful and reliable insights and decision-making. Here's why cleaning data is super important: 1.

Data Cleanse 52

Data Cleanse Datasets Data Preparation Data Science 52