ProjectPro

JULY 9, 2021

When firing Siri or Alexa with questions, people often wonder how machines achieve super-human accuracy. All thanks to deep learning - the incredibly intimidating area of data science. This new domain of deep learning methods is inspired by the functioning of neural networks in the human brain.

Deep Learning 40

Deep Learning Algorithm Machine Learning Datasets 40

U-Next

AUGUST 8, 2022

Before heading out for a Machine Learning interview, find time to go through this quick recap blog on the fundamentals of Machine Learning. Introduction to Machine Learning Interview Questions. Data Science and Machine Learning are two of the most widely used technologies around the globe nowadays.

Machine Learning 52

Machine Learning Deep Learning Algorithm Data Mining 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 Deep Learning Healthcare 122

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 Engineer Data Engineering Engineering 52

AltexSoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 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.

Machine Learning 59

Machine Learning Hospitality Algorithm Deep Learning 59

ProjectPro

DECEMBER 21, 2021

Did you know that the global machine learning market, according to Fortune Business Insights, is expected to reach a whopping $152.24 Machine learning, unlike other fields, has a global reach when it comes to job opportunities. This includes knowledge of data structures (such as stack, queue, tree, etc.),

Machine Learning 52

Machine Learning Engineering Algorithm Computer Science 52

AltexSoft

JULY 27, 2021

And what does machine learning have to do with it? In this article, we’re taking you down the road of machine learning-based personalization. You’ll learn about the types of recommender systems, their differences, strengths, weaknesses, and real-life examples. How recommender systems work: data processing phases.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

AltexSoft

OCTOBER 18, 2022

Everyday the global healthcare system generates tons of medical data that — at least, theoretically — could be used for machine learning purposes. Regardless of industry, data is considered a valuable resource that helps companies outperform their rivals, and healthcare is not an exception. Medical data labeling.

Medical 52

Medical Datasets Machine Learning Hospitality 52

ProjectPro

JANUARY 28, 2022

These data points being incorrect in real life can cause inaccurate results from the data model, inadvertently leading to faulty insight and analysis. Such anomalous events can be connected to some fault in the data source, such as financial fraud, equipment fault, or irregularities in time series analysis.

Machine Learning 52

Machine Learning Python Datasets Algorithm 52

ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. It is because these apps render machine learning models that try to understand the customer's taste. can help you model such machine learning projects.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

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

RandomTrees

JUNE 17, 2024

This article looks into AI’s different uses in financial fraud detection, with a focus on techniques involving anomaly detection, machine learning algorithms, and real-time data analysis that help safeguard the credibility of financial systems. It employs an AI-driven fraud detection system to secure its transactions.

Banking 52

Banking Deep Learning Finance Machine Learning 52

Edureka

JUNE 7, 2024

Industry Applications of Predictive AI While both involve machine learning and data analysis, they differ in their core objectives and approaches. paintings, songs, code) Historical data relevant to the prediction task (e.g., Real-world Applications of Generative AI The Power of Predictive AI How Does Predictive AI Work?

Deep Learning 114

Deep Learning Media Manufacturing Algorithm 114

Knowledge Hut

DECEMBER 22, 2023

Data analytics, data mining, artificial intelligence, machine learning, deep learning, and other related matters are all included under the collective term "data science" When it comes to data science, it is one of the industries with the fastest growth in terms of income potential and career opportunities.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

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. A Data Engineer's primary responsibility is the construction and upkeep of a data warehouse.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Snowflake

NOVEMBER 11, 2024

Snowflake will be introducing new multimodal SQL functions (private preview soon) that enable data teams to run analytical workflows on unstructured data, such as images. With these functions, teams can run tasks such as semantic filters and joins across unstructured data sets using familiar SQL syntax.

Unstructured Data 52

Unstructured Data SQL AWS Healthcare 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

Snowflake

SEPTEMBER 26, 2024

Most companies know they need better data to make that happen, but they struggle with making it available, trusted and accessible — not to mention handling complex data, like images, videos and unstructured data. Evolution, not revolution The good news? Now, generative AI is offering another step change.

Retail 79

Retail Cloud Unstructured Data Deep Learning 79

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. Mathematical concepts like Statistics and Probability, Calculus, and Linear Algebra are vital in pursuing a career in Data Science.

Data Science 97

Data Science BI Business Intelligence Machine Learning 97

Edureka

JANUARY 18, 2024

This guide provides a comprehensive understanding of the essential skills and knowledge required to become a successful data scientist, covering data manipulation, programming, mathematics, big data, deep learning, and machine learning technologies.

Data Science 40

Data Science Deep Learning Machine Learning NoSQL 40

Knowledge Hut

MAY 3, 2024

Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. Cluster Computing: Efficient processing of data on Set of computers (Refer commodity hardware here) or distributed systems. Do let us know how your learning experience was, through comments below.

Scala 98

Scala Hadoop Healthcare Big Data 98

AltexSoft

NOVEMBER 1, 2023

Word embeddings translate words or phrases into numerical vectors of fixed size, making it easier for machine learning models to process. NER for structuring unstructured data NER plays a pivotal role in converting unstructured text into structured data. Why use it?

Deep Learning 52

Deep Learning Machine Learning Datasets Algorithm 52

Knowledge Hut

MAY 9, 2024

Responsibilities Big data engineers build data pipelines, design and manage data infrastructures such as big data frameworks and databases, handle data storage, and work on the ETL process. Average Annual Salary of Big Data Engineer A big data engineer makes around $120,269 per year.

Data Science 52

Data Science Data Architect Data Mining Programming Language 52

Knowledge Hut

MAY 23, 2024

BigML: BigML is an online, cloud-based, event-driven tool that helps in data science and machine learning operations. For professionals and companies, BigML is a tool that can help blend data science and machine learning projects for various business operations and processes.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

U-Next

AUGUST 11, 2022

Artificial Intelligence is achieved through the techniques of Machine Learning and Deep Learning. Machine Learning (ML) is a part of Artificial Intelligence. It builds a model based on Sample data and is designed to make predictions and decisions without being programmed for it. is highly beneficial.

Medical 52

Medical Computer Science Scala Machine Learning 52

DareData

JANUARY 30, 2023

As the field of data science and machine learning continues to evolve, it is increasingly evident that data engineering cannot be separated from it. This can include tasks such as extracting data from various sources, transforming it into a desired format, and loading it into a target system or data store.

Data Engineer 52

Data Engineer Data Engineering NoSQL Engineering 52

AltexSoft

OCTOBER 25, 2021

Its deep learning natural language processing algorithm is best in class for alleviating clinical documentation burnout, which is one of the main problems of healthcare technology. This allows machines to extract value even from unstructured data. Healthcare organizations generate a lot of text data.

Medical 52

Medical Healthcare Process Hospitality 52

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. Length of stay calculation for hospitals: how machine learning can enhance results. Today, we can employ AI technologies to predict the date of discharge. Here is a ?ouple

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

Knowledge Hut

JANUARY 19, 2024

With businesses relying heavily on data, the demand for skilled data scientists has skyrocketed. In data science, we use various tools, processes, and algorithms to extract insights from structured and unstructured data. Recent reports highlight a significant increase in demand for data scientists, rising by 27.9%

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

ProjectPro

FEBRUARY 16, 2023

Predictive and prescriptive analytics, machine learning, and deep learning. Input Data Structured data from various sources, such as databases, spreadsheets, and ERP systems. Structured, semi-structured, and unstructured data from multiple sources, such as social media, IoT devices, and sensors.

Business Intelligence 52

Business Intelligence BI Data Mining Algorithm 52

Knowledge Hut

JUNE 23, 2023

Data engineers make a tangible difference with their presence in top-notch industries, especially in assisting data scientists in machine learning and deep learning. Steps to Become a Data Engineer One excellent point is that you don’t need to enter the industry as a data engineer.

Data Engineer 52

Data Engineer Data Engineering Engineering Non-relational Database 52

Knowledge Hut

JUNE 27, 2023

Cybersecurity, Data Analytics & Machine Learning are gaining more prominence. It offers job opportunities in emerging areas like artificial intelligence, machine learning, & data science. It helps to exchange data and interact with each other without human intervention.

Computer Science 52

Computer Science Entertainment Healthcare Finance 52

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Dagster / ElementL — A data orchestrator for machine learning, analytics, and ETL. .

Consulting 121

Consulting Machine Learning Data Science Data Pipeline 121

U-Next

SEPTEMBER 23, 2022

This sort of Business Analytics, which is the most sophisticated, combines several technologies, including Artificial Intelligence, semantics, Machine Learning, and deep learning algorithms, to apply human intelligence to specific tasks. However, it also uses statistical modeling and Machine Learning techniques.

Data Mining 40

Data Mining Business Analyst Deep Learning Algorithm 40

U-Next

AUGUST 18, 2022

Data Scientist is a highly dynamic job and requires a person to be well-versed in AI, business intelligence, Machine Learning earning, etc. Learn more about it here. What Does a Data Scientist Do? You could receive ten different responses if you consult ten distinct Data Scientists with the same question.

Unstructured Data 40

Unstructured Data Data Science Medical Business Intelligence 40

DoorDash Engineering

APRIL 26, 2023

Some background into Generative AI Generative AI, as its name suggests, generates new content based on existing data. One of the most popular examples of Generative AI is the GPT series, a family of deep learning models developed by OpenAI. ChatGPT, the version of GPT-3.5

Food 98

Food Unstructured Data Deep Learning SQL 98