Edureka

MARCH 26, 2025

The state-of-the-art neural networks that power generative AI are the subject of this blog, which delves into their effects on innovation and intelligent design’s potential. Neural networks are a type of machine-learning model inspired by the human brain. What are neural networks?

Raw Data 40

Raw Data Architecture Deep Learning Finance 40

ProjectPro

JANUARY 31, 2023

This is particularly true when working with complex deep-learning models that require large amounts of data to perform well. However, collecting and annotating large amounts of data might not always be possible, and it is also expensive and time-consuming. Why is Data Augmentation Important in Deep Learning?

Deep Learning 52

Deep Learning Datasets Machine Learning Data 52

Cloudera

OCTOBER 1, 2022

While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. . Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use.

Data Governance 75

Data Governance Government Machine Learning Data Science 75

Cloudera

FEBRUARY 16, 2022

We can think of model lineage as the specific combination of data and transformations on that data that create a model. This maps to the data collection, data engineering, model tuning and model training stages of the data science lifecycle. So, we have workspaces, projects and sessions in that order.

Machine Learning 85

Machine Learning Algorithm Government Metadata 85

RandomTrees

DECEMBER 12, 2023

It is necessary to tailor sensitive or regulated data to specific conditions to achieve the results that authentic data cannot deliver. Computer vision can generate synthetic data in two ways. A 3D renderer will automatically annotate synthetic data after getting rendered in 3D.

Deep Learning 52

Deep Learning Datasets Healthcare Algorithm 52

Data Engineering Weekly

NOVEMBER 13, 2022

link] Etsy: Deep Learning for Search Ranking at Etsy Etsy writes about its journey from gradient boost decision tree-based search ranking to a neural ranking model. This blog is an excellent overview of incorporating a data quality check with Airflow.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Knowledge Hut

DECEMBER 27, 2023

Software developers play an important role in data collection and analysis to ensure the company's security. Blogging As a software developer, you have more knowledge than an average blogger. You can also sell some websites developed and designed by you. Many organizations are looking for amazing and unique websites.

Medical 98

Medical Programming Language Amazon Web Services Entertainment 98

Edureka

SEPTEMBER 11, 2023

Generative AI’s magic comes from understanding the intricate structures and patterns in its training data. These algorithms frequently employ methods like Bayesian inference, Markov Chains, and maximum likelihood estimation to create new data. Check out this blog about generative AI to get some insights.

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Algorithm Deep Learning Entertainment Healthcare 52

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

NOVEMBER 18, 2023

Thus, organizations are actively implementing machine learning for IoT models in order to fulfill this need. So, if you are thinking of using these solutions in your business, keep reading this blog. After successful training, these ML models can automatically categorize data, identify patterns and provide useful insights.

Machine Learning 52

Machine Learning Transportation Healthcare Amazon Web Services 52

ProjectPro

JUNE 9, 2021

This blog on Data Science vs. Data Engineering presents a detailed comparison between the two domains. Difference between Data Science and Data Engineering Data Science Data Engineering Data Science involves extracting information from raw data to derive business insights and values using statistical methods.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Science 52

Knowledge Hut

MAY 9, 2024

From Silicon Valley to Wall Street, from healthcare to e-commerce, data scientists are highly valued and well-compensated in various industries and sectors. According to Glassdoor, the average annual pay of a data scientist is USD 126,683. What is Data Science? Additionally, they possess strong communication skills.

Data Science 52

Data Science Data Architect Data Mining Programming Language 52

ProjectPro

AUGUST 13, 2021

Predictive Analytics Predictive Analytics involves using data science methods to estimate the value of a quantity necessary for decision making. This application of machine learning algorithms has changed the game for many businesses. Keras was designed to help data scientists effortlessly implement deep learning algorithms.

Machine Learning 40

Machine Learning Project Deep Learning Algorithm 40

ProjectPro

JANUARY 31, 2023

Ever wondered how insurance companies successfully implement machine learning to expand their businesses? This explains why the insurance sector is acquiring an increasing amount of data. With the help of the data collected by IoT devices, insurers can more precisely analyze the profiles of their clients.

Insurance 75

Insurance Machine Learning Project Algorithm 75

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. Common processes are: Collect raw data and store it on a server. A Master's in Data Science or a Ph.D.

Data Science 52

Data Science Datasets Machine Learning Portfolio 52

AltexSoft

SEPTEMBER 19, 2023

Social media and travel blogs contain valuable information about travelers’ experiences, recommendations, preferences, and popular upcoming events. For instance, a notable expert in this domain, OAG , has a suite of air-related datasets, including historical flight data spanning 20 years. Choose analytical tools.

Hospitality 52

Hospitality Machine Learning Data Governance BI 52

ProjectPro

AUGUST 25, 2021

This blog introduces the critical differences that one encounters when anyone performs an analysis of logistic regression vs linear regression. 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.

Machine Learning 52

Machine Learning Algorithm Datasets Data Science 52

Knowledge Hut

JANUARY 22, 2024

Some common specializations include: Machine Learning and AI These courses provide in-depth knowledge of machine learning algorithms like regression, classification, clustering, deep learning and natural language processing. Students work with SQL, NoSQL databases, Hadoop ecosystem, Spark, Kafka etc.

Data Science 52

Data Science Certification Education Programming 52

ProjectPro

AUGUST 16, 2021

Machine Learning Projects on Classification 2. Machine Learning Projects on Prediction 3. Machine Learning Projects on Computer Vision 4. Machine Learning Projects on Natural Language Processing (NLP) 5. Deep Learning and Neural Network Projects 6.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

Rockset

DECEMBER 19, 2023

From his early days at Quora to leading projects at Facebook and his current venture at Fennel (a real-time feature store for ML), Nikhil has traversed the evolving landscape of machine learning engineering and machine learning infrastructure specifically in the context of recommendation systems.

Systems 52

Systems Machine Learning Deep Learning Media 52

U-Next

AUGUST 18, 2022

Additionally, if you’re getting ready for an interview session as a Data Scientist, you must know all Data Scientists’ traits. We’ll cover all you need to understand, like what does a Data Scientist do ? Can a Data Scientist work from home ? What Is Data Science Course?

Unstructured Data 40

Unstructured Data Data Science Medical Business Intelligence 40

phData: Data Engineering

AUGUST 11, 2023

Data engineering in healthcare is taking a giant leap forward with rapid industrial development. Artificial Intelligence (AI) and Machine Learning (ML) are buzzwords these days with developments of Chat-GPT, Bard, and Bing AI, among others. However, data collection and analysis have been commonplace in the healthcare sector for ages.

Healthcare 52

Healthcare Data Engineering Data Engineer Hospitality 52

ProjectPro

NOVEMBER 18, 2021

Spotify also uses NLP ( Natural language processing) to scan articles and blogs to analyze the words used to describe songs and artists. Deep learning models have been used recently for bioactivity and synthesis prediction for drugs and vaccines in addition to molecular design.

Data Science 52

Data Science Project Food Pharmaceutical 52

Sync Computing

NOVEMBER 7, 2024

Depending on what sort of leaky analogy you prefer, data can be the new oil , gold , or even electricity. Of course, even the biggest data sets are worthless, and might even be a liability, if they arent organized properly. Data collected from every corner of modern society has transformed the way people live and do business.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Unstructured Data 52

U-Next

JULY 4, 2022

The chances are tremendously more that you will land a successful career in the data science field after reading this blog than without reading it. Introduction To Data Science Career. Data science career has been evolving, and it is in high demand. Data science is involved in the process of collecting and analysing data.

Data Science 40

Data Science Data Architect Data Mining Recruitment 40

AltexSoft

FEBRUARY 21, 2023

Hotel price prediction is a critical aspect of the travel industry, and with the rise of machine learning , it has become more precise and accurate. This blog post will delve into the challenges, approaches, and algorithms involved in hotel price prediction. So how exactly are hotel price prediction tools built?

Hospitality 52

Hospitality Algorithm Datasets Machine Learning 52

ProjectPro

JUNE 13, 2018

So, for those looking for a career in Amazon Web Services, this blog lists the best AWS certifications available today, including the cost, duration, and topics covered in each certification exam. With these Data Science Projects in Python , your career is bound to reach new heights. Start working on them today!

AWS 52

AWS Certification Amazon Web Services Cloud Computing 52

ProjectPro

JANUARY 25, 2022

Features of PySpark The PySpark Architecture Popular PySpark Libraries PySpark Projects to Practice in 2022 Wrapping Up FAQs Is PySpark easy to learn? How long does it take to learn PySpark? Finally, you'll find a list of PySpark projects to help you gain hands-on experience and land an ideal job in Data Science or Big Data.

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

OCTOBER 20, 2021

Data Science has taken off in the technology space, the job title data scientist even being crowned as the Sexiest Job of the 21 st Century. Let's understand where Data Science belongs in the space of Artificial Intelligence. Auto-Weka : Weka is a top-rated java-based machine learning software for data exploration.

Machine Learning 52

Machine Learning Algorithm Data Science Government 52

ProjectPro

AUGUST 24, 2021

Data professionals who work with raw data like data engineers, data analysts, machine learning scientists , and machine learning engineers also play a crucial role in any data science project. And, out of these professions, this blog will discuss the data engineering job role.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

U-Next

AUGUST 3, 2022

The people who have inquiries about data are known as Data Scientists. Additionally, they must be able to formulate those questions utilising a variety of tools, including analytic, economic, deep learning, and scientific techniques. What are Data Scientist roles? What is the work of a Data Scientist?

Data Science 52

Data Science Retail Computer Science Data Mining 52

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. Python can be used as the Big Data source code.

Big Data 52

Big Data Coding Project Hadoop 52