Knowledge Hut

NOVEMBER 28, 2023

Whether you are working on a personal project, learning the concepts, or working with datasets for your company, the primary focus is a data acquisition and data understanding. Your data should possess the maximum available information to perform meaningful analysis. What is a Data Science Dataset?

Datasets 96

Datasets Data Science Project Banking 96

Knowledge Hut

JULY 28, 2023

On that note, let's understand the difference between Machine Learning and Deep Learning. Below is a thorough article on Machine Learning vs Deep Learning. We will see how the two technologies differ or overlap and will answer the question - What is the difference between machine learning and deep learning?

Deep Learning 52

Deep Learning Machine Learning Unstructured Data Algorithm 52

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. Aiming at understanding sound data, it applies a range of technologies, including state-of-the-art deep learning algorithms.

Machine Learning 122

Machine Learning Building Datasets Healthcare 122

AltexSoft

JUNE 16, 2022

Choosing the machine learning path when developing your software is half the success. Yes, it brings automation, so widely discussed machine intelligence, and other awesome perks. So, how would you measure the success of a machine learning model? So, how would you measure the success of a machine learning model?

Machine Learning 91

Machine Learning Hospitality Retail Medical 91

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. They develop self-running software.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

ProjectPro

AUGUST 25, 2021

Firstly, we introduce the two machine learning algorithms in detail and then move on to their practical applications to answer questions like when to use linear regression vs logistic regression. We often come across datasets that do not have a target variable. where the prices take continuous values.

Machine Learning 52

Machine Learning Algorithm Datasets Data Science 52

Knowledge Hut

FEBRUARY 29, 2024

Then, based on this information from the sample, defect or abnormality the rate for whole dataset is considered. This process of inferring the information from sample data is known as ‘inferential statistics.’ A database is a structured data collection that is stored and accessed electronically.

Data Science 98

Data Science Datasets Database Design Machine Learning 98

U-Next

SEPTEMBER 13, 2022

Before we begin, rest assured that this compilation contains Data Science interview questions for freshers as well as early professionals. You will also learn top Machine Learning interview questions along the way! . According to the US Bureau of Labor Statistics, Data Science skills will see a 27.9%

Machine Learning 40

Machine Learning Data Science Deep Learning Algorithm 40

Netflix Tech

JULY 21, 2022

This is done by first elaborating on the dataset curation stage?—?specially Since memory management is not something one usually associates with classification problems, this blog focuses on formulating the problem as an ML problem and the data engineering that goes along with it. The dataset will thus be very biased/skewed.

Machine Learning 71

Machine Learning Datasets Big Data Data Pipeline 71

Towards Data Science

AUGUST 29, 2023

Earlier this year, I started a piece on several data quality issues (or characteristics) that heavily compromise our machine learning models. One of them was, unsurprisingly, Missing Data. Sometimes, even the smallest pieces of information can provide a completely unique view of the world. Image by Author.

Datasets 106

Datasets Machine Learning Data Data Science 106

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. So, what challenges does data labeling involve?

Machine Learning 52

Machine Learning Process Raw Data Datasets 52

Knowledge Hut

DECEMBER 26, 2023

Of course, handling such huge amounts of data and using them to extract data-driven insights for any business is not an easy task; and this is where Data Science comes into the picture. These skills are essential to collect, clean, analyze, process and manage large amounts of data to find trends and patterns in the dataset.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

ProjectPro

AUGUST 13, 2021

If you are a beginner searching for Machine Learning GitHub Projects, you are on the right page. Below you will find a list of Machine Learning projects on Github that are beginner-friendly and popular among Data Science enthusiasts. Face Detection Kaggle Machine Learning Projects on GitHub 1.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

RandomTrees

DECEMBER 12, 2023

Or maybe, how can we generate synthetic data to enhance computer vision? Synthetic data helps us better understand the object or scene getting observed. It’s also a prerequisite for building novel algorithms for computer vision systems, but this is just a general talk. Let’s find out more about synthetic data in detail.

Datasets 52

Datasets Deep Learning Healthcare Algorithm 52

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Impedance mismatch between data scientists, data engineers and production engineers.

Machine Learning 107

Machine Learning Python Kafka Java 107

ProjectPro

AUGUST 16, 2021

Sending out the exact old traditional style data science or machine learning resume might not be doing any favours in your machine learning job search. With cut-throat competition in the industry for high-paying machine learning jobs, a boring cookie-cutter resume might not just be enough.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

Databand.ai

JULY 6, 2023

Data Anomaly: Types, Causes, Detection, and Resolution Helen Soloveichik July 6, 2023 What Is Data Anomaly? 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.

Datasets 52

Datasets Algorithm Machine Learning Data Analysis 52

AltexSoft

MARCH 22, 2022

But collecting real data is not always an option due to the cost, sensitivity, and processing time. Meanwhile, synthetic data can be a good alternative to rely on when it comes to training machine learning models. What is synthetic data? Synthetic data is different from augmented and randomized data.

Machine Learning 52

Machine Learning IT Medical Insurance 52

AltexSoft

AUGUST 10, 2021

When combined with machine learning and data mining , it can make forecasts based on historical and existing data to identify the likelihood of conversion. So, the main difference from traditional lead scoring is the model’s ability to determine more reliable attributes based on expansive data. Demographic data.

Machine Learning 72

Machine Learning Data Mining Datasets Algorithm 72

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. to build a predictive model from a dataset.

Data Analytics 52

Data Analytics Coding Project Medical 52

Knowledge Hut

MAY 31, 2023

Artificial intelligence (AI) projects are software-based initiatives that utilize machine learning, deep learning, natural language processing, computer vision, and other AI technologies to develop intelligent programs capable of performing various tasks with minimal human intervention.

Project 96

Project Healthcare Deep Learning Transportation 96

Knowledge Hut

JANUARY 18, 2024

This can sometimes cause confusion regarding their applications in real-world problems and for learning purposes. The key connection between Data Science and AI is data. Some may argue that AI and Machine Learning fall within the broader category of Data Science , but it's essential to recognize the subtle differences.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Knowledge Hut

MAY 9, 2024

In this blog post, we will look at some of the world's highest paying data science jobs, what they entail, and what skills and experience you need to land them. What is Data Science? Data science also blends expertise from various application domains, such as natural sciences, information technology, and medicine.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

Knowledge Hut

JANUARY 24, 2024

This blog offers an exclusive glimpse into the daily rituals, challenges, and moments of triumph that punctuate the professional journey of a data scientist. The primary objective of a data scientist is to analyze complex datasets to uncover patterns, trends, and valuable information that can aid in informed decision-making.

Database-centric 52

Database-centric Data Science Machine Learning Datasets 52

Knowledge Hut

JANUARY 19, 2024

Entering the world of data science is a strategic move in the 21st century, known for its lucrative opportunities. With businesses relying heavily on data, the demand for skilled data scientists has skyrocketed. Recognizing the growing need for data scientists, institutions worldwide are intensifying efforts to meet this demand.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

ProjectPro

MARCH 5, 2021

The invisible pieces of code that form the gears and cogs of the modern machine age, algorithms have given the world everything from social media feeds to search engines and satellite navigation to music recommendation systems. Recommender Systems – An Introduction Data collection is ubiquitous now.

Algorithm 40

Algorithm Systems Python Datasets 40

Pinterest Engineering

SEPTEMBER 20, 2023

Machine Learning Engineer; Rohan Mahadev | Machine Learning Engineer II; Sujay Khandagale | Machine Learning Engineer II; Abhay Varmaraja | Machine Learning Engineer II Pinterest’s mission as a company is to bring everyone the inspiration to create a life they love. Pedro Silva | Sr.

Building 85

Building Pipeline-centric Machine Learning Datasets 85

Knowledge Hut

DECEMBER 29, 2023

Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization. Engineering and problem-solving abilities based on Big Data solutions may also be taught.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

NOVEMBER 27, 2023

Developing technical skills is essential, starting with foundational knowledge in mathematics, including calculus and linear algebra, which underpin machine learning and deep learning concepts. Through the article, we will learn what data scientists do, and how to transits to a data science career path.

Data Science 52

Data Science Datasets Machine Learning Algorithm 52

Knowledge Hut

DECEMBER 26, 2023

A simple usage of Business Intelligence (BI) would be enough to analyze such datasets. However, as we progressed, data became complicated, more unstructured, or, in most cases, semi-structured. This is one of the major reasons behind the popularity of data science. An exploratory study of the given data set.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

DECEMBER 21, 2023

Neural network based multi-objective evolutionary algorithm for dynamic workflow scheduling in cloud computing Cloud computing research topics are getting wider traction in the Cloud Computing field. The NN-MOEA algorithm utilizes neural networks to optimize multiple objectives, such as planning, cost, and resource utilization.

Cloud Computing 52

Cloud Computing Cloud Algorithm Healthcare 52

Cloudera

SEPTEMBER 15, 2021

And that comes down to being able to act on data at the precise time it requires action. Deploying machine learning (ML) and analytics capabilities at the edge is what makes this possible. . In such a scenario, data latency is essentially unavoidable — and, when real-time action is required, inadmissible.

Medical 118

Medical Retail Datasets Algorithm 118

Monte Carlo

MARCH 18, 2024

Choose the Right Data to Audit Your organization may want to audit your entire arsenal of data, or you may select a few datasets to audit individually. Choose the right datasets and clearly communicate to the responsible parties why the audit is being performed. This is typically steaming or microbatched data.

Datasets 52

Datasets Data Pipeline BI Data 52

Knowledge Hut

FEBRUARY 29, 2024

Before going on to what Anaconda is, we need to understand what data science is and the major requirements in this field. Anaconda (or Anaconda Navigator) is an open-source platform that provides data science toolkits and inbuilt packages for performing various data science tasks. Dataset can be downloaded from here.

Data Science 52

Data Science Project Datasets Python 52

Knowledge Hut

JANUARY 23, 2024

It's like the hidden dance partner of algorithms and data, creating an awesome symphony known as "Math and Data Science." " So, get ready for a fun ride in this blog as we explore the fascinating world of math in data science. These concepts underpin many numerical algorithms used in data science.

Data Science 52

Data Science Algorithm Raw Data Data 52

Knowledge Hut

NOVEMBER 20, 2023

On the plus side, artificial intelligence (AI) and machine learning (ML) have emerged as effective methods for combating fraud. What Is Fraud Detection with Machine Learning? Before getting into the details, let's define what we mean by AI fraud detection with machine learning.

Insurance 52

Insurance Banking Machine Learning Algorithm 52

RandomTrees

JANUARY 29, 2024

In the rapidly evolving field of computer vision, data is the lifeblood that fuels innovation. Machine learning models rely heavily on large and diverse datasets to train and improve their ability to understand and interpret visual information. What Is Synthetic Data?

Medical 52

Medical Retail Entertainment Datasets 52