Azure, Deep Learning and Hadoop - Data Science Current

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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.

Data Science

Data Science Data Scientist Machine Learning Machine Learning

Data Science Blogathon 30th Edition- Women in Data Science

Analytics Vidhya

MARCH 8, 2023

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

Data Science

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Webinars

How to Achieve High-Accuracy Results When Using LLMs

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Trending Sources

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? If all of these describe you, then this Blogathon announcement is for you! Analytics Vidhya is back with its 28th Edition of blogathon, a place where you can share your knowledge about […].

Data Science

Data Science Analytics Analytics Hadoop

Webinars

How to Achieve High-Accuracy Results When Using LLMs

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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

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.

Data Science

Data Science Machine Learning Machine Learning Data Visualization

7 Powerful Python ML Libraries For Data Science And Machine Learning.

Mlearning.ai

JANUARY 28, 2023

Scikit-Learn: Scikit-Learn is a machine learning library that makes it easy to train and deploy machine learning models. It has a wide range of features, including data preprocessing, feature extraction, deep learning training, and model evaluation. How Do I Use These Libraries?

Machine Learning

Machine Learning Machine Learning Data Science ML

Must-Have Skills for a Machine Learning Engineer

Pickl AI

NOVEMBER 28, 2024

Without linear algebra, understanding the mechanics of Deep Learning and optimisation would be nearly impossible. Neural Networks These models simulate the structure of the human brain, allowing them to learn complex patterns in large datasets. Neural networks are the foundation of Deep Learning techniques.

Machine Learning

Machine Learning Machine Learning ML ML

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

Pickl AI

JULY 25, 2023

With expertise in programming languages like Python , Java , SQL, and knowledge of big data technologies like Hadoop and Spark, data engineers optimize pipelines for data scientists and analysts to access valuable insights efficiently. Machine Learning: Supervised and unsupervised learning techniques, deep learning, etc.

Data Engineer

Data Engineer Data Engineering Data Engineering Data Engineering

How Comet Can Serve Your LLM Project from Pre-Training to Post-Deployment

Heartbeat

JULY 31, 2023

It automates the process of hyperparameter tuning, making it easy to find the best hyperparameters for a given machine learning problem. This is especially useful for deep learning models, which can have many hyperparameters that need to be optimized. Using Comet saves time and reduces the risk of human error.

Machine Learning

Machine Learning Machine Learning Deep Learning Deep Learning

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

Popular data lake solutions include Amazon S3 , Azure Data Lake , and Hadoop. Apache Hadoop Apache Hadoop is an open-source framework that supports the distributed processing of large datasets across clusters of computers. Data Processing Tools These tools are essential for handling large volumes of unstructured data.

Machine Learning

Machine Learning Machine Learning Data Lakes AI

How to Effectively Handle Unstructured Data Using AI

DagsHub

NOVEMBER 11, 2024

These vector databases store complex data by transforming the original unstructured data into numerical embeddings; this is enabled through deep learning models. AI also plays an important role in this process because it uses deep learning methods to create embeddings that find all the key features of the original data.

AI AI Data Lakes Database

10 Must-Have AI Engineering Skills in 2024

Data Science Dojo

MAY 24, 2024

For example, predictive maintenance in manufacturing uses machine learning to anticipate equipment failures before they occur, reducing downtime and saving costs. Deep Learning Deep learning is a subset of machine learning based on artificial neural networks, where the model learns to perform tasks directly from text, images, or sounds.

Machine Learning

Machine Learning Deep Learning Deep Learning Machine Learning

Data Science Cheat Sheet for Business Leaders

Pickl AI

APRIL 2, 2024

Machine Learning: Subset of AI that enables systems to learn from data without being explicitly programmed. Supervised Learning: Learning from labeled data to make predictions or decisions. Unsupervised Learning: Finding patterns or insights from unlabeled data.

Data Science

Data Science Machine Learning Machine Learning Predictive Analytics

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

Data Science Blogathon 30th Edition- Women in Data Science

Webinars

Trending Sources

Data Science Blogathon 28th Edition

Webinars

Data Science Blogathon 26th Edition

A Guide to Choose the Best Data Science Bootcamp

7 Powerful Python ML Libraries For Data Science And Machine Learning.

Must-Have Skills for a Machine Learning Engineer

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

How Comet Can Serve Your LLM Project from Pre-Training to Post-Deployment

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

How to Effectively Handle Unstructured Data Using AI

10 Must-Have AI Engineering Skills in 2024

Data Science Cheat Sheet for Business Leaders

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