Data Engineer, Deep Learning and Hadoop

Data Engineer

Deep Learning

Hadoop

Remote Data Science Jobs: 5 High-Demand Roles for Career Growth

Data Science Dojo

OCTOBER 31, 2024

Key Skills: Mastery in machine learning frameworks like PyTorch or TensorFlow is essential, along with a solid foundation in unsupervised learning methods. Stanford AI Lab recommends proficiency in deep learning, especially if working in experimental or cutting-edge areas. This role builds a foundation for specialization.

Data Science

Data Science Data Scientist Machine Learning Machine Learning

Emerging Data Science Trends in 2025 You Need to Know

Pickl AI

JUNE 8, 2025

This surge in connected devices is creating vast opportunities for data scientists to develop scalable models that process unstructured and streaming data efficiently. Advanced Machine Learning and AI Integration Machine learning remains the backbone of data science, but in 2025, its complexity and specialization are increasing.

Data Science

Data Science Augmented Analytics Machine Learning Machine Learning

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Trending Sources

The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

Pickl AI

JULY 25, 2023

Unfolding the difference between data engineer, data scientist, and data analyst. Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. Data Visualization: Matplotlib, Seaborn, Tableau, etc.

Data Engineering

Data Engineering Data Engineering Data Engineering Data Engineer

Data Scientist Job Description – What Companies Look For in 2025

Pickl AI

JUNE 5, 2025

In the Indian context, data scientists often work in dynamic environments such as IT services, fintech, e-commerce, healthcare, and telecom sectors. They are expected to be versatile, handling everything from data engineering and exploratory analysis to deploying machine learning models and communicating insights to business stakeholders.

Data Scientist

Data Scientist Data Science Power BI Machine Learning

Data Science Blogathon 30th Edition- Women in Data Science

Analytics Vidhya

MARCH 8, 2023

The Biggest Data Science Blogathon is now live! Martin Uzochukwu Ugwu Analytics Vidhya is back with the largest data-sharing knowledge competition- The Data Science Blogathon. Knowledge is power. Sharing knowledge is the key to unlocking that power.”―

Data Science

Data Science Analytics Analytics Apache Hadoop

Data Science Blogathon 28th Edition

Analytics Vidhya

JANUARY 8, 2023

Hey, are you the data science geek who spends hours coding, learning a new language, or just exploring new avenues of data science? The post Data Science Blogathon 28th Edition appeared first on Analytics Vidhya. If all of these describe you, then this Blogathon announcement is for you!

Data Science

Data Science Analytics Analytics Hadoop

A beginner tale of Data Science

Becoming Human

JANUARY 23, 2023

Just like this in Data Science we have Data Analysis , Business Intelligence , Databases , Machine Learning , Deep Learning , Computer Vision , NLP Models , Data Architecture , Cloud & many things, and the combination of these technologies is called Data Science. Data Science and AI are related?

Data Science

Data Science Big Data Big Data Deep Learning

Data Science Blogathon 26th Edition

Analytics Vidhya

NOVEMBER 7, 2022

Hello, fellow data science enthusiasts, did you miss imparting your knowledge in the previous blogathon due to a time crunch? Well, it’s okay because we are back with another blogathon where you can share your wisdom on numerous data science topics and connect with the community of fellow enthusiasts.

Data Science

Data Science Analytics Analytics Hadoop

How LotteON built a personalized recommendation system using Amazon SageMaker and MLOps

AWS Machine Learning Blog

MAY 16, 2024

Therefore, we decided to introduce a deep learning-based recommendation algorithm that can identify not only linear relationships in the data, but also more complex relationships. With Amazon EMR, which provides fully managed environments like Apache Hadoop and Spark, we were able to process data faster.

AWS

AWS ML ML Deep Learning

A Guide to Choose the Best Data Science Bootcamp

Data Science Dojo

JULY 3, 2024

Machine Learning : Supervised and unsupervised learning algorithms, including regression, classification, clustering, and deep learning. Tools and frameworks like Scikit-Learn, TensorFlow, and Keras are often covered. Ensure that the bootcamp of your choice covers these specific topics.

Data Science

Data Science Machine Learning Machine Learning Data Visualization

Accelerating time-to-insight with MongoDB time series collections and Amazon SageMaker Canvas

AWS Machine Learning Blog

DECEMBER 18, 2023

SageMaker Canvas supports a number of use cases, including time-series forecasting , which empowers businesses to forecast future demand, sales, resource requirements, and other time-series data accurately. As a Data Engineer he was involved in applying AI/ML to fraud detection and office automation.

Clustering

Clustering AWS Database ML

How BigBasket improved AI-enabled checkout at their physical stores using Amazon SageMaker

AWS Machine Learning Blog

FEBRUARY 13, 2024

About the Authors Santosh Waddi is a Principal Engineer at BigBasket, brings over a decade of expertise in solving AI challenges. With a strong background in computer vision, data science, and deep learning, he holds a postgraduate degree from IIT Bombay.

AWS

AWS AI AI ML

Data science vs. machine learning: What’s the difference?

IBM Journey to AI blog

JULY 6, 2023

Other challenges include communicating results to non-technical stakeholders, ensuring data security, enabling efficient collaboration between data scientists and data engineers, and determining appropriate key performance indicator (KPI) metrics. Python is the most common programming language used in machine learning.

Machine Learning

Machine Learning Machine Learning Data Science Big Data

What Does the Modern Data Scientist Look Like? Insights from 30,000 Job Descriptions

ODSC - Open Data Science

JANUARY 7, 2025

Machine Learning As machine learning is one of the most notable disciplines under data science, most employers are looking to build a team to work on ML fundamentals like algorithms, automation, and so on. Deep Learning Deep learning is a cornerstone of modern AI, and its applications are expanding rapidly.

Data Scientist

Data Scientist Data Science Machine Learning Machine Learning

How to Manage Unstructured Data in AI and Machine Learning Projects

DagsHub

OCTOBER 23, 2024

General Purpose Tools These tools help manage the unstructured data pipeline to varying degrees, with some encompassing data collection, storage, processing, analysis, and visualization. DagsHub's Data Engine DagsHub's Data Engine is a centralized platform for teams to manage and use their datasets effectively.

Machine Learning

Machine Learning Machine Learning Data Lakes AI

Data Science Course Eligibility: Your Gateway to a Lucrative Career

Pickl AI

JUNE 19, 2024

Computer Science A computer science background equips you with programming expertise, knowledge of algorithms and data structures, and the ability to design and implement software solutions – all valuable assets for manipulating and analyzing data. Strong written and verbal communication skills are essential.

Data Science

Data Science Data Scientist Hypothesis Testing Natural Language Processing

Data Quality Framework: What It Is, Components, and Implementation

DagsHub

AUGUST 23, 2024

It offers advanced features for data profiling, rule-based data cleaning, and governance across various data sources. Datafold is a tool focused on data observability and quality. It is particularly popular among data engineers as it integrates well with modern data pipelines (e.g.,

Data Quality

Data Quality Data Governance Machine Learning Machine Learning

Big Data – Das Versprechen wurde eingelöst

Data Science Blog

MARCH 14, 2023

Big Data tauchte als Buzzword meiner Recherche nach erstmals um das Jahr 2011 relevant in den Medien auf. Big Data wurde zum Business-Sprech der darauffolgenden Jahre. In der Parallelwelt der ITler wurde das Tool und Ökosystem Apache Hadoop quasi mit Big Data beinahe synonym gesetzt.

Big Data

Big Data Big Data Apache Hadoop Data Science

Data Science Current

Remote Data Science Jobs: 5 High-Demand Roles for Career Growth

Emerging Data Science Trends in 2025 You Need to Know

Trending Sources

The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

Data Scientist Job Description – What Companies Look For in 2025

Data Science Blogathon 30th Edition- Women in Data Science

Data Science Blogathon 28th Edition

A beginner tale of Data Science

Data Science Blogathon 26th Edition

How LotteON built a personalized recommendation system using Amazon SageMaker and MLOps

A Guide to Choose the Best Data Science Bootcamp

Accelerating time-to-insight with MongoDB time series collections and Amazon SageMaker Canvas

How BigBasket improved AI-enabled checkout at their physical stores using Amazon SageMaker

Data science vs. machine learning: What’s the difference?

What Does the Modern Data Scientist Look Like? Insights from 30,000 Job Descriptions

How to Manage Unstructured Data in AI and Machine Learning Projects

Data Science Course Eligibility: Your Gateway to a Lucrative Career

Data Quality Framework: What It Is, Components, and Implementation

Big Data – Das Versprechen wurde eingelöst

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