ODSC - Open Data Science

FEBRUARY 13, 2023

Top 3 Free Training Sessions Microsoft Azure: Machine Learning Essentials This series of videos from Microsoft covers the entire stack of machine learning essentials with Microsoft Azure. A few standout topics include model deployment and inferencing, MLOps, and multi-cloud machine learning.

Machine Learning 98

Machine Learning Machine Learning Deep Learning Deep Learning 98

Pickl AI

JUNE 5, 2025

SQL remains crucial for database querying, especially given India’s large IT services ecosystem. Machine Learning & AI: Hands-on experience with supervised and unsupervised algorithms, deep learning frameworks (TensorFlow, PyTorch), and natural language processing (NLP) is highly valued.

Data Scientist 52

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Pickl AI

SEPTEMBER 5, 2024

Summary: This blog provides a comprehensive roadmap for aspiring Azure Data Scientists, outlining the essential skills, certifications, and steps to build a successful career in Data Science using Microsoft Azure. This roadmap aims to guide aspiring Azure Data Scientists through the essential steps to build a successful career.

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Data Science Blog

JUNE 30, 2023

DATANOMIQ Jobskills Webapp The whole web app is hosted and deployed on the Microsoft Azure Cloud via CI/CD and Infrastructure as Code (IaC). However, we collect these over time and will make trends secure, for example how the demand for Python, SQL or specific tools such as dbt or Power BI changes. Why we did it?

Data Engineering 130

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DataRobot Blog

MARCH 7, 2023

Organizations that want to prove the value of AI by developing, deploying, and managing machine learning models at scale can now do so quickly using the DataRobot AI Platform on Microsoft Azure. DataRobot is available on Azure as an AI Platform Single-Tenant SaaS, eliminating the time and cost of an on-premises implementation.

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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.

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Mlearning.ai

AUGUST 28, 2023

I recently took the Azure Data Scientist Associate certification exam DP-100, thankfully I passed after about 3–4 months for studying the Microsoft Data Science Learning Path and the Coursera Microsoft Azure Data Scientist Associate Specialization. Resources include the: Resource group, Azure ML studio, Azure Compute Cluster.

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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. Machine & Deep Learning Machine learning is the fundamental data science skillset, and deep learning is the foundation for NLP.

Data Science 111

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Smart Data Collective

JUNE 4, 2021

Deep Learning. Deep learning is a subset of machine learning that works similar to the biological brain. Use deep learning when the number of variables (columns) is high. Deep learning is used for speech recognition, board games AI, image recognition, and manipulation. Ensembling.

Data Science 133

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ODSC - Open Data Science

FEBRUARY 2, 2023

While knowing Python, R, and SQL are expected, you’ll need to go beyond that. 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.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

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 150

Data Science Machine Learning Machine Learning Data Visualization 150

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.

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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 […].

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Data Science Analytics Analytics Hadoop 328

Becoming Human

MAY 15, 2023

In programming, You need to learn two types of language. One is a scripting language such as Python, and the other is a Query language like SQL (Structured Query Language) for SQL Databases. There is one Query language known as SQL (Structured Query Language), which works for a type of database.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

ODSC - Open Data Science

APRIL 3, 2023

Data Science & Machine Learning There’s an increasing amount of overlap between data scientists and data analysts, as shown by the frameworks and tools noted in each chart. Cloud Services: Google Cloud Platform, AWS, Azure. SQL excels with big data and statistics, making it important in order to query databases.

Analytics 52

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ODSC - Open Data Science

JULY 22, 2023

We had bigger sessions on getting started with machine learning or SQL, up to advanced topics in NLP, and how to make deepfakes. On Wednesday, Henk Boelman, Senior Cloud Advocate at Microsoft, spoke about the current landscape of Microsoft Azure, as well as some interesting use cases and recent developments.

Apache Kafka 52

Apache Kafka Data Science Machine Learning Machine Learning 52

The MLOps Blog

JUNE 27, 2023

SageMaker Studio offers built-in algorithms, automated model tuning, and seamless integration with AWS services, making it a powerful platform for developing and deploying machine learning solutions at scale. Soda Core Soda Core is an open-source data quality management framework for SQL, Spark, and Pandas-accessible data.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

ODSC - Open Data Science

OCTOBER 26, 2023

ODSC West is less than a week away and we can’t wait to bring together some of the best and brightest minds in data science and AI to discuss generative AI, NLP, LLMs, machine learning, deep learning, responsible AI, and more. With a Virtual Open Pass , you can be part of where the future of AI gathers for free.

Data Science 52

Data Science Data Wrangling Machine Learning Machine Learning 52

The MLOps Blog

MAY 10, 2023

In this section, you will see different ways of saving machine learning (ML) as well as deep learning (DL) models. Saving deep learning model with TensorFlow Keras TensorFlow is a popular framework for training DL-based models, and Ker as is a wrapper for TensorFlow. Now let’s see how we can save our model.

Python 105

Python ML ML Database 105

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 Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

ODSC - Open Data Science

AUGUST 24, 2023

MIT Researchers Combine Deep Learning and Physics to Fix MRI Scans MIT researchers are now armed with a new deep learning model that is designed to rectify motion-related distortions in brain MRI. Register now for 50% off.

Data Lakes 52

Data Lakes Data Science Machine Learning Machine Learning 52

ODSC - Open Data Science

JANUARY 7, 2025

While knowing Python, R, and SQL is expected, youll need to go beyond that. 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.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

DagsHub

APRIL 21, 2024

Moving the machine learning models to production is tough, especially the larger deep learning models as it involves a lot of processes starting from data ingestion to deployment and monitoring. It provides different features for building as well as deploying various deep learning-based solutions. What is MLOps?

Machine Learning 59

Machine Learning Machine Learning ML ML 59

Pickl AI

APRIL 26, 2024

It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques. Key Takeaways SQL Mastery: Understand SQL’s importance, join tables, and distinguish between SELECT and SELECT DISTINCT. How do you join tables in SQL?

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 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

Pickl AI

APRIL 2, 2024

Unsupervised Learning: Finding patterns or insights from unlabeled data. Deep Learning: Neural networks with multiple layers used for complex pattern recognition tasks. Tools and Technologies Python/R: Popular programming languages for data analysis and machine learning.

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52

ODSC - Open Data Science

JANUARY 29, 2024

Open Source ML/DL Platforms: Pytorch, Tensorflow, and scikit-learn Hiring managers continue to favor the most popular open-source machine/deep learning platforms including Pytorch, Tensorflow, and scikit-learn. This versatility allows prompt engineers to adapt it to different projects and needs.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

Mlearning.ai

JUNE 23, 2023

Relational databases (like MySQL) or No-SQL databases (AWS DynamoDB) can store structured or even semi-structured data but there is one inherent problem. Developed through the fusion of deep learning techniques and vast amounts of training data, LLMs, such as OpenAI’s GPT-3.5,

Database 52

Database ML ML Natural Language Processing 52

Alation

APRIL 14, 2022

Cloud providers like Amazon Web Services, Microsoft Azure, Google, and Alibaba not only provide capacity beyond what the data center can provide, their current and emerging capabilities and services drive the execution of AI/ML away from the data center. Support for languages and SQL. The Cloud Data Migration Challenge.

Data Governance 59

Data Governance ML ML Cloud Data 59

DagsHub

OCTOBER 23, 2024

Here’s the structured equivalent of this same data in tabular form: With structured data, you can use query languages like SQL to extract and interpret information. Popular data lake solutions include Amazon S3 , Azure Data Lake , and Hadoop. This text has a lot of information, but it is not structured.

Machine Learning 52

Machine Learning Machine Learning Data Lakes AI 52

Pickl AI

SEPTEMBER 18, 2024

offer specialised Machine Learning and Artificial Intelligence courses covering Deep Learning , Natural Language Processing, and Reinforcement Learning. Data Manipulation and Analysis Handling data is a significant part of a Machine Learning Engineer’s job. Platforms like Pickl.AI

Machine Learning 52

Machine Learning Machine Learning Algorithm Natural Language Processing 52

The MLOps Blog

MARCH 21, 2023

I have worked with customers where R and SQL were the first-class languages of their data science community. Name Short Description Algorithmia Securely govern your machine learning operations with a healthy ML lifecycle. An end-to-end machine learning platform to build and deploy AI models at scale. 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

What helped me both in the transition to the data scientist role and then also to the MLOps engineer role was doing a combination of boot camps, and when I was going to the MLOps engineer role, I also took this one workshop that’s pretty well-known called Full Stack Deep Learning. I really enjoyed it. How was my code?”

ML 52

ML ML Data Scientist Machine Learning 52

How to Learn Machine Learning

MAY 3, 2025

All the clouds are different, and for us GCP offers some cool benefits that we will highlight in this article vs the AWS AI Services or Azure Machine Learning. GCP AI Platform (formerly known as Cloud Machine Learning Engine) is Google Cloud’s unified platform for building and running machine learning applications at scale.

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