ODSC - Open Data Science

FEBRUARY 17, 2023

Developing NLP tools isn’t so straightforward, and requires a lot of background knowledge in machine & deep learning, among others. In a change from last year, there’s also a higher demand for those with data analysis skills as well. Having mastery of these two will prove that you know data science and in turn, NLP.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

ODSC - Open Data Science

JULY 19, 2023

This resulted in a wide number of accelerators, code repositories, or even full-fledged products that were built using or on top of Azure Machine Learning (Azure ML). Data Estate: This element represents the organizational data estate, potential data sources, and targets for a data science project.

Machine Learning 52

Machine Learning Machine Learning Azure Data Science 52

ODSC - Open Data Science

MARCH 30, 2023

Using Azure ML to Train a Serengeti Data Model, Fast Option Pricing with DL, and How To Connect a GPU to a Container Using Azure ML to Train a Serengeti Data Model for Animal Identification In this article, we will cover how you can train a model using Notebooks in Azure Machine Learning Studio.

Azure 52

Azure ML ML Data Modeling 52

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 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

ODSC - Open Data Science

FEBRUARY 2, 2023

As you’ll see in the next section, data scientists will be expected to know at least one programming language, with Python, R, and SQL being the leaders. This will lead to algorithm development for any machine or deep learning processes. Java’s still being used frequently as many frameworks run on JVM (Java Virtual Machine).

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

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 345

Data Science Analytics Analytics Apache Hadoop 345

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 328

Data Science Analytics Analytics Hadoop 328

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 306

Data Science Analytics Analytics Hadoop 306

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 150

Data Science Machine Learning Machine Learning Data Visualization 150

ODSC - Open Data Science

JANUARY 3, 2025

ODSC West 2024All Recordings A treasure trove of insights, this collection of recordings from ODSC West 2024 captures sessions delivered by leading experts across AI and data science domains, subfields, and even a few niche topics. These topics range from generative AI and machine learning to data engineering and ethical AI.

AI 40

AI AI Deep Learning Deep Learning 40

ODSC - Open Data Science

MAY 4, 2023

Meet StableVicuna, The First Large-Scale Open-Source RLHF Chatbot by Stability AI In a blog post, Stability AI introduced StableVicuna, the first large-scale open-source chatbot trained via reinforcement learning through human feedback or RLHF. There’s less than a week to go until ODSC East 2023. Register by Friday to save 20%.

Deep Learning 52

Deep Learning Deep Learning Azure Artificial Intelligence 52

The MLOps Blog

JUNE 27, 2023

Alignment to other tools in the organization’s tech stack Consider how well the MLOps tool integrates with your existing tools and workflows, such as data sources, data engineering platforms, code repositories, CI/CD pipelines, monitoring systems, etc. This provides end-to-end support for data engineering and MLOps workflows.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

ODSC - Open Data Science

APRIL 3, 2023

While a data analyst isn’t expected to know more nuanced skills like deep learning or NLP, a data analyst should know basic data science, machine learning algorithms, automation, and data mining as additional techniques to help further analytics. Cloud Services: Google Cloud Platform, AWS, Azure.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

ODSC - Open Data Science

MARCH 10, 2023

Learn More About a Few ODSC East 2023 Instructors and Why They’re the Best Learn more about a few of our ODSC East 2023 instructors, their backgrounds in education, and why they’re fit for imparting their knowledge. Don’t let old market data point you in the wrong direction. Check out a few of them below.

Machine Learning 52

Machine Learning Machine Learning Data Science AI 52

ODSC - Open Data Science

OCTOBER 7, 2024

Meet a few of our top-tier AI partners and learn about the tools and insights to drive your AI initiatives forward. Booths and Partners NVIDIA : Essential for AI professionals, NVIDIA’s GPUs power deep learning and data-intensive AI applications This year, NVIDIA is hosting an in-person and virtual Hackathon at ODSC West 2024.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

Mlearning.ai

JULY 11, 2023

Before diving into the world of data science, it is essential to familiarize yourself with certain key aspects. The process or lifecycle of machine learning and deep learning tends to follow a similar pattern in most companies. Another crucial aspect to consider is MLOps (Machine Learning Operations) activities.

Data Science 40

Data Science Exploratory Data Analysis Azure Power BI 40

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 40

Data Scientist Data Science Machine Learning Machine Learning 40

IBM Journey to AI blog

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

AI 90

AI AI Machine Learning Machine Learning 90

Data Science Blog

FEBRUARY 4, 2023

In the era of Industry 4.0 , linking data from MES (Manufacturing Execution System) with that from ERP, CRM and PLM systems plays an important role in creating integrated monitoring and control of business processes.

Cloud Data 147

Cloud Data Data Science Business Intelligence Business Intelligence 147

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 52

Machine Learning Machine Learning Data Lakes AI 52

ODSC - Open Data Science

JANUARY 29, 2024

Knowledge in these areas enables prompt engineers to understand the mechanics of language models and how to apply them effectively. Data Engineering A job role in its own right, this involves managing the modern data stack and structuring data and workflow pipelines — crucial for preparing data for use in training and running AI models.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

Mlearning.ai

JUNE 16, 2023

It also can minimize the risks of miscommunication in the process since the analyst and customer can align on the prototype before proceeding to the build phase Design: DALL-E, another deep learning model developed by OpenAI to generate digital images from natural language descriptions, can contribute to the design of applications.

AI 52

AI AI Data Analysis Data Analysis 52

The MLOps Blog

MARCH 21, 2023

Other users Some other users you may encounter include: Data engineers , if the data platform is not particularly separate from the ML platform. Analytics engineers and data analysts , if you need to integrate third-party business intelligence tools and the data platform, is not separate. Allegro.io

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69

Data Science Blog

MARCH 19, 2024

Es unterstützt jede beliebige Data-Science-Sprache und bietet eine umfangreiche Liste von Technologie-Integrationen, darunter PyTorch, Hugging Face, scikit-learn, TensorFlow, Ibis, Amazon Sagemaker, Azure ML oder Jupyter. Weitere Integrationen sind ein wichtiger Teil unserer Roadmap.

Data Science 130

Data Science AI AI Business Intelligence 130

The MLOps Blog

OCTOBER 3, 2023

I switched from analytics to data science, then to machine learning, then to data engineering, then to MLOps. For me, it was a little bit of a longer journey because I kind of had data engineering and cloud engineering and DevOps engineering in between. Quite fun, quite chaotic at times.

ML 52

ML ML Data Scientist Machine Learning 52

O'Reilly Media

NOVEMBER 26, 2024

Entirely new paradigms rise quickly: cloud computing, data engineering, machine learning engineering, mobile development, and large language models. Staying current in the tech industry is a bit like being a professional athlete: You have to train daily to maintain your physical conditioning.

Cloud Computing 110

Cloud Computing AWS Azure Machine Learning 110