IBM Journey to AI blog

SEPTEMBER 19, 2023

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. Your skill set should include the ability to write in the programming languages Python, SAS, R and Scala. And you should have experience working with big data platforms such as Hadoop or Apache Spark.

Data Science 236

Data Science Data Scientist Machine Learning Data Mining 236

Towards AI

JANUARY 28, 2024

To start, get to know some key terms from the demo: Snowflake: The centralized source of truth for our initial data Magic ETL: Domo’s tool for combining and preparing data tables ERP: A supplemental data source from Salesforce Geographic: A supplemental data source (i.e., Instagram) used in the demo Why Snowflake?

ETL 111

ETL Python Data Platform Data Integration 111

IBM Journey to AI blog

OCTOBER 14, 2024

Data engineering teams have grown up around the rise of data warehousing and business intelligence applications over the last decade and historically have operated in the world of SQL, structured databases and business analytics processes designed for data analysts and C-suite consumers.

Business Intelligence 195

Business Intelligence AI AI Machine Learning 195

Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

ML 52

ML Python Machine Learning Data Scientist 52

Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

ML 52

ML Python Machine Learning Data Scientist 52

ODSC - Open Data Science

DECEMBER 7, 2023

We’ll also discuss some of the benefits of using set union(), and we’ll see why it’s a popular tool for Python developers. How to Build a 5-Layer Data Stack Spinning up a data platform doesn’t have to be complicated. Here are the 5 must-have layers to drive data product adoption at scale.

Data Scientist 98

Data Scientist Explainable AI Data Science Python 98

Marktechpost

MARCH 12, 2024

ML data has unique requirements, like combining and extracting data from structured and unstructured sources, having metadata allowing for responsible data use, or describing ML usage characteristics like training, test, and validation sets. Taken as a whole, these enhancements significantly lessen the load of data development.

Metadata 120

Metadata Machine Learning ML Data Discovery 120

John Snow Labs

FEBRUARY 12, 2025

It provides a suite of tools for data engineering, data science, business intelligence, and analytics. Once the libraries are installed, proceed by importing the essential Python and Spark libraries into your notebook. In this section, we cover how-to run successfully John Snow Labs LLMs on Azure Fabric.

Large Language Models 52

Large Language Models NLP Natural Language Processing LLM 52

The MLOps Blog

JANUARY 26, 2024

Keeping track of how exactly the incoming data (the feature pipeline’s input) has to be transformed and ensuring that each model receives the features precisely how it saw them during training is one of the hardest parts of architecting ML systems. All of them are written in Python. This is where feature stores come in.

Machine Learning 72

Machine Learning Metadata ML Python 72

IBM Journey to AI blog

JULY 17, 2023

Within watsonx.ai, users can take advantage of open-source frameworks like PyTorch, TensorFlow and scikit-learn alongside IBM’s entire machine learning and data science toolkit and its ecosystem tools for code-based and visual data science capabilities.

Machine Learning 186

Machine Learning Metadata Automation AI 186

Pickl AI

FEBRUARY 23, 2025

Key Features : Speed : Spark processes data in-memory, making it up to 100 times faster than Hadoop MapReduce in certain applications. Ease of Use : Supports multiple programming languages including Python, Java, and Scala. Key Features : Cost Efficiency : Pay only for the resources you use.

Big Data 52

Big Data Machine Learning Business Intelligence Algorithm 52

ODSC - Open Data Science

JUNE 1, 2023

Streaming platform — Acts as the source of truth for event data and must therefore handle high volume and concurrency of data being produced and consumed. Stream processor — Reads events from the streaming data platform and then takes some action on that event. Front end — The thing that end users interact with.

Data Science 98

Data Science Data Platform Machine Learning Python 98

Flipboard

NOVEMBER 24, 2023

JuMa is a service of BMW Group’s AI platform for its data analysts, ML engineers, and data scientists that provides a user-friendly workspace with an integrated development environment (IDE). It is powered by Amazon SageMaker Studio and provides JupyterLab for Python and Posit Workbench for R.

ML 153

ML DevOps Data Scientist ML Engineer 153

AWS Machine Learning Blog

SEPTEMBER 18, 2023

The results of SUEWS are then visualized, in this case with Arup’s existing geospatial data platform. The GPU-powered interactive visualizer and Python notebooks provide a seamless way to explore millions of data points in a single window as well as collaborate on the insights and results.

Data Scientist 120

Data Scientist ML Machine Learning ML Engineer 120

ODSC - Open Data Science

SEPTEMBER 17, 2024

Machine Learning AI Frameworks for Software Engineering Scikit-learn Scikit-learn is a popular open-source machine learning library in Python. It provides a range of supervised and unsupervised learning algorithms, along with tools for model fitting, data preprocessing, and evaluation.

Software Engineer 52

Software Engineer Neural Network Deep Learning Convolutional Neural Networks 52

DataRobot Blog

MARCH 16, 2023

Secure, Seamless, and Scalable ML Data Preparation and Experimentation Now DataRobot and Snowflake customers can maximize their return on investment in AI and their cloud data platform. You can seamlessly and securely connect to Snowflake with support for External OAuth authentication in addition to basic authentication.

Data Scientist 52

Data Scientist Machine Learning ML Python 52

Mlearning.ai

MARCH 15, 2023

Technical requirements for a Data Scientist High expertise in programming either in R or Python, or both. Familiarity with Databases; SQL for structured data, and NOSQL for unstructured data. Experience with cloud platforms like; AWS, AZURE, etc. Knowledge of big data platforms like; Hadoop and Apache Spark.

Data Science 52

Data Science Data Scientist Big Data Machine Learning 52

The MLOps Blog

MAY 31, 2023

You may also like Building a Machine Learning Platform [Definitive Guide] Consideration for data platform Setting up the Data Platform in the right way is key to the success of an ML Platform. In the following sections, we will discuss best practices while setting up a Data Platform for Retail.

ML 59

ML Algorithm Data Drift Machine Learning 59

ODSC - Open Data Science

FEBRUARY 22, 2024

Industry, Opinion, Career Advice What Dagster Believes About Data Platforms The beliefs that organizations adopt about the way their data platforms should function influence their outcomes. Enables Data Science Teams to Influence Mission-Critical Decisions Here, the author shares her thoughts on how Dash Enterprise 5.2

AI Researcher 52

AI Researcher AI Research Large Language Models Machine Learning 52

Pickl AI

APRIL 26, 2024

Describe a situation where you had to think creatively to solve a data-related challenge. I encountered a data quality issue where inconsistent data formats affected the analysis. Programming and Scripting Questions Which programming languages are you proficient in for data analysis? 10% group discount available.

Data Analysis 52

Data Analysis Machine Learning ETL Explainability 52

Pickl AI

JUNE 12, 2023

Professionals can connect to various data sources, including databases, spreadsheets, and big data platforms. This helps in understanding the underlying patterns, trends, and relationships within the data. Tableau also supports advanced statistical modeling through integration with statistical tools like R and Python.

Data Science 52

Data Science Data Scientist Data Analysis Machine Learning 52

AWS Machine Learning Blog

OCTOBER 3, 2024

Snowflake is the preferred data platform, and it receives data from Step Functions state machine runs through Amazon CloudWatch logs. A series of filters screen for data pertinent to the business. The processing code is primarily written in Python using libraries that are periodically updated.

DevOps 90

DevOps Data Science Data Scientist ML 90

The MLOps Blog

MARCH 15, 2023

Dagster Supports end-to-end data management lifecycle. Its software-defined assets (announced through Rebundling the Data Platform ) and built-in lineage make it an appealing tool for developers. Seamless integration with many data sources and destinations. Uses secure protocols for data security.

Categorization 59

Categorization ETL Data Integration Automation 59

ODSC - Open Data Science

JANUARY 9, 2025

Here we provide a Python function that performs a POST call to our bookingapp. About the Author/AI Builders Summit Speaker on AI Agent Implementation: Valentina is a Data Science MSc graduate and Cloud Specialist at Microsoft, focusing on Analytics and AI workloads within the manufacturing and pharmaceutical industry since 2022.

Large Language Models 45

Large Language Models LLM AI Machine Learning 45

AWS Machine Learning Blog

DECEMBER 20, 2023

For Runtime , choose Python 3.10. Over the years, he has helped multiple customers on data platform transformations across industry verticals. His core area of expertise include Technology Strategy, Data Analytics, and Data Science. The SAM template requires you provide the SQS ARN and the SageMaker endpoint name.

ML 130

ML Algorithm Machine Learning Automation 130

ODSC - Open Data Science

OCTOBER 20, 2023

You’ll use MLRun, Langchain, and Milvus for this exercise and cover topics like the integration of AI/ML applications, leveraging Python SDKs, as well as building, testing, and tuning your work. In this session, we’ll demonstrate how you can fine-tune a Gen AI model, build a Gen AI application, and deploy it in 20 minutes.

Data Science 52

Data Science NLP Machine Learning Data Analysis 52

The MLOps Blog

AUGUST 3, 2023

Stefan is a software engineer, data scientist, and has been doing work as an ML engineer. He also ran the data platform in his previous company and is also co-creator of open-source framework, Hamilton. You could almost think of Hamilton as DBT for Python functions. It gives a very opinionary way of writing Python.

ML 52

ML Data Scientist Software Engineer Machine Learning 52

Pickl AI

DECEMBER 4, 2023

Implementing robust data validation processes. Clinical Research Acceleration Speeds up research processes and drug development Integrating diverse data sources. Implementing interoperable data platforms. 6,20000 Analytical skills, proficiency in Data Analysis tools (e.g., 12,00000 Programming (e.g.,

Data Analysis 52

Data Analysis Data Quality Artificial Intelligence Artificial Intelligence 52

ODSC - Open Data Science

SEPTEMBER 29, 2023

Arjuna Chala, associate vice president, HPCC Systems For those not familiar with the HPCC Systems data lake platform, can you describe your organization and the development history behind HPCC Systems? They were interested in creating a data platform capable of managing a sizable number of datasets.

Big Data 52

Big Data ETL Data Science Data Ingestion 52

ODSC - Open Data Science

JULY 19, 2023

Data Estate: This element represents the organizational data estate, potential data sources, and targets for a data science project. Data Engineers would be the primary owners of this element of the MLOps v2 lifecycle. The Azure data platforms in this diagram are neither exhaustive nor prescriptive.

Machine Learning 52

Machine Learning Data Drift Data Science Data Scientist 52

AWS Machine Learning Blog

AUGUST 3, 2023

She is passionate about helping customers innovate with Big Data and Artificial Intelligence technologies to tap business value and insights from data. She has experience in working on data platform and AI/ML projects in the healthcare and life sciences vertical.

Computer Vision 77

Computer Vision Data Scientist ML Deep Learning 77

Pickl AI

JUNE 18, 2023

Job Submission and Cluster Management: To take advantage of Hadoop, you generally use the Hadoop API to generate code in Java, Python, or other compatible languages. Aside from cluster management, responsibilities like data integration and data quality control can be difficult for organisations that use Hadoop systems.

Big Data 52

Big Data Machine Learning Data Quality Data Analysis 52

ODSC - Open Data Science

MARCH 8, 2024

If you are interested in learning more about MM-RAG and how to build multimodal applications with Python and AI orchestrators, join our upcoming talk at ODSC East 2024 ! In other words, it will enable more effective communication between AI systems and humans.

Convolutional Neural Networks 52

Convolutional Neural Networks Large Language Models Neural Network LLM 52

The MLOps Blog

OCTOBER 3, 2023

I actually did not pick up Python until about a year before I made the transition to a data scientist role. You see them all the time with a headline like: “data science, machine learning, Java, Python, SQL, or blockchain, computer vision.” The only decorator that comes to my mind is a Python decorator.

ML 52

ML Data Scientist Machine Learning Data Science 52

ODSC - Open Data Science

MARCH 18, 2025

Allen Downey, PhD, Principal Data Scientist at PyMCLabs Allen is the author of several booksincluding Think Python, Think Bayes, and Probably Overthinking Itand a blog about data science and Bayesian statistics. in Ecology, he brings a unique perspective to statistics, spatial analysis, and real-world data applications.

Data Science 64

Data Science Machine Learning Software Engineer Data Scientist 64

Unite.AI

JUNE 28, 2023

FeatureByte empowers data science professionals by simplifying the whole process in feature engineering. With an intuitive Python SDK, it enables quick feature creation and extraction from XLarge Event and Item Tables. Notebooks facilitate experimentation, while feature sharing and reuse save time.

Data Scientist 264

Data Scientist Machine Learning Data Science ML Engineer 264

AWS Machine Learning Blog

AUGUST 6, 2024

The model package contains a requirements.txt file that lists the necessary Python packages to be installed to serve the MusicGen model. He specializes in building data platforms and architecting seamless data ecosystems. The model package also contains an inference.py

Auto-complete 97

Auto-complete Metadata Generative AI Deep Learning 97