Data Science 101

FEBRUARY 15, 2020

Welcome to Cloud Data Science 7. Announcements around an exciting new open-source deep learning library, a new data challenge and more. Thanks for reading the weekly news, and you can find previous editions on the Cloud Data Science News page. The post Cloud Data Science 7 appeared first on Data Science 101.

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Pickl AI

NOVEMBER 4, 2024

Summary: Python for Data Science is crucial for efficiently analysing large datasets. Introduction Python for Data Science has emerged as a pivotal tool in the data-driven world. Key Takeaways Python’s simplicity makes it ideal for Data Analysis. in 2022, according to the PYPL Index.

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AWS Machine Learning Blog

OCTOBER 22, 2024

Amazon SageMaker is a cloud-based machine learning (ML) platform within the AWS ecosystem that offers developers a seamless and convenient way to build, train, and deploy ML models. Data backup is in near real time using Amazon EFS replication. Diagram 3: You can find the complete code sample in the GitHub repo.

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AWS Machine Learning Blog

JANUARY 5, 2024

This post was written in collaboration with Bhajandeep Singh and Ajay Vishwakarma from Wipro’s AWS AI/ML Practice. Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models.

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Data Science Dojo

SEPTEMBER 8, 2023

Descriptive analytics involves summarizing historical data to extract insights into past events. Diagnostic analytics goes further, aiming to uncover the root causes behind these events. Read more –> Data Science vs AI – What is 2023 demand for? Goals To predict future events and trends.

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AWS Machine Learning Blog

OCTOBER 20, 2023

Customers of every size and industry are innovating on AWS by infusing machine learning (ML) into their products and services. Recent developments in generative AI models have further sped up the need of ML adoption across industries.

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AWS Machine Learning Blog

JANUARY 22, 2025

On our SASE management console, the central events page provides a comprehensive view of the events occurring on a specific account. With potentially millions of events over a selected time range, the goal is to refine these events using various filters until a manageable number of relevant events are identified for analysis.

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Dataconomy

SEPTEMBER 20, 2023

From the democratisation of programming languages and analytics tools to the emergence of data scientists as the key decision influencer of the modern workforce, data science and its underlying methodologies are transforming the face of business. Where will the data take you next?

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Data Science Dojo

FEBRUARY 6, 2025

Here’s a complete guide to understanding all about LLMs What is Data Annotation? Data annotation is the process of labeling data to make it understandable and usable for machine learning (ML) models. Video Annotation It is similar to image annotation but is applied to video data.

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AWS Machine Learning Blog

APRIL 29, 2025

As AWS LLM League events began rolling out in North America, this initiative represented a strategic milestone in democratizing machine learning (ML) and enabling partners to build practical generative AI solutions for their customers. SageMaker JumpStart is an ML hub that can help you accelerate your ML journey.

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AWS Machine Learning Blog

AUGUST 28, 2023

As part of the 2023 Data Science Conference (DSCO 23), AWS partnered with the Data Institute at the University of San Francisco (USF) to conduct a datathon. Participants, both high school and undergraduate students, competed on a data science project that focused on air quality and sustainability.

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DataRobot Blog

MARCH 16, 2023

Traditionally, developing appropriate data science code and interpreting the results to solve a use-case is manually done by data scientists. The integration allows you to generate intelligent data science code that reflects your use case. Data scientists still need to review and evaluate these results.

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DataRobot Blog

JUNE 1, 2022

Join DataRobot and leading organizations June 7 and 8 at DataRobot AI Experience 2022 (AIX) , a unique virtual event that will help you rapidly unlock the power of AI for your most strategic business initiatives. Join the virtual event sessions in your local time across Asia-Pacific, EMEA, and the Americas. Join DataRobot AIX June 7–8.

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AWS Machine Learning Blog

DECEMBER 2, 2024

This new feature brings several key benefits for generative AI inference workloads: dramatically faster scaling to handle traffic spikes, improved resource utilization on GPU instances, and potential cost savings through more efficient scaling and reduced idle time during scale-up events.

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IBM Data Science in Practice

MARCH 8, 2023

The growth of the AI and Machine Learning (ML) industry has continued to grow at a rapid rate over recent years. Hidden Technical Debt in Machine Learning Systems More money, more problems — Rise of too many ML tools 2012 vs 2023 — Source: Matt Turck People often believe that money is the solution to a problem.

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ODSC - Open Data Science

APRIL 14, 2023

March has been a hotbed of news when it comes to AI and data science. Everything from the introduction of GPT-4 to Google’s Bard large language model, to the FTC warning AI labs to not expatriate their claims, March has been one eventful month. So let’s take a look at the top news stories related to data science and AI!

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Dataconomy

MAY 2, 2023

Machine learning engineers are professionals who possess a blend of skills in software engineering and data science. Their primary role is to leverage their programming and coding abilities to gather, process, and analyze large volumes of data. Is ML engineering a stressful job? Does a machine learning engineer do coding?

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Data Science Dojo

SEPTEMBER 25, 2024

Runway ML is another AI platform that offers a suite of AI-powered tools for video editing, including features like motion tracking and greenscreen, which make the post-production process more efficient and cost-effective. This analysis helps news organizations understand the public’s reaction to various events and topics.

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AWS Machine Learning Blog

NOVEMBER 26, 2024

Amazon SageMaker Studio is the first integrated development environment (IDE) purposefully designed to accelerate end-to-end machine learning (ML) development. You can create multiple Amazon SageMaker domains , which define environments with dedicated data storage, security policies, and networking configurations.

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Heartbeat

FEBRUARY 13, 2023

Before you go… If you liked this article and want to stay tuned with more exciting articles on Python & Data Science  — do consider becoming a medium member by clicking here [link]. In this way, the portion of the membership fee goes to me, which motivates me to write more exciting stuff on Python and Data Science.

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AWS Machine Learning Blog

FEBRUARY 27, 2024

In this post, we share how Axfood, a large Swedish food retailer, improved operations and scalability of their existing artificial intelligence (AI) and machine learning (ML) operations by prototyping in close collaboration with AWS experts and using Amazon SageMaker.

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Data Science Dojo

FEBRUARY 2, 2023

It is widely used in numerous fields, from data science and machine learning to web development and game development. It is a widely used programming language in computer science. Python project ideas – Data Science Dojo 1.

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AWS Machine Learning Blog

NOVEMBER 13, 2024

From gaming and entertainment to education and corporate events, live streams have become a powerful medium for real-time engagement and content consumption. After focusing on ML during her studies, Chiara supports customers in using generative AI and ML technologies effectively, helping them extract maximum value from these powerful tools.

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AWS Machine Learning Blog

JANUARY 10, 2024

Specialist Data Engineering at Merck, and Prabakaran Mathaiyan, Sr. ML Engineer at Tiger Analytics. The large machine learning (ML) model development lifecycle requires a scalable model release process similar to that of software development. At this point, the model status is PendingManualApproval.

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ODSC - Open Data Science

FEBRUARY 27, 2025

Heres a deeper dive into our topic tracks for our 10th-anniversary event! Industry, Opinion, CareerAdvice The Evolving Role of the Modern Data Practitioner In this discussion with Microsofts Marck Vaisman, we talk about the evolution of data science and what it means to be a data practitioner in 2025 andbeyond.

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AWS Machine Learning Blog

FEBRUARY 7, 2025

Data science teams often face challenges when transitioning models from the development environment to production. This post, part of the Governing the ML lifecycle at scale series ( Part 1 , Part 2 , Part 3 ), explains how to set up and govern a multi-account ML platform that addresses these challenges.

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NYU Center for Data Science

MARCH 15, 2023

The NYU AI School grew from a 3-day workshop that took place in October 2019, with the first week-long event launched in February 2021. The program is organized by students from NYU Data Science, Courant Institute, and other departments. Unlike many other events, no programming experience is required to attend.

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AWS Machine Learning Blog

JUNE 22, 2023

Over 500 machine events are monitored in near-real time to give a full picture of machine conditions and their operating environments. Utilizing data streamed through LnW Connect, L&W aims to create better gaming experience for their end-users as well as bring more value to their casino customers.

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DataRobot Blog

MARCH 8, 2023

Leveraging DataRobot’s JDBC connectors, enterprise teams can work together to train ML models on their data residing in SAP HANA Cloud and SAP Data Warehouse Cloud, as well as have an option to enrich it with data from external data sources. Registration is free for both events. Tune in to learn more.

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AWS Machine Learning Blog

JANUARY 13, 2023

Since then, TR has achieved many more milestones as its AI products and services are continuously growing in number and variety, supporting legal, tax, accounting, compliance, and news service professionals worldwide, with billions of machine learning (ML) insights generated every year. The challenges. Solution overview.

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AWS Machine Learning Blog

FEBRUARY 6, 2024

Pharmaceutical companies sell a variety of different, often novel, drugs on the market, where sometimes unintended but serious adverse events can occur. These events can be reported anywhere, from hospitals or at home, and must be responsibly and efficiently monitored.

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ODSC - Open Data Science

MAY 31, 2023

Be sure to check out his talk, “ Apache Kafka for Real-Time Machine Learning Without a Data Lake ,” there! The combination of data streaming and machine learning (ML) enables you to build one scalable, reliable, but also simple infrastructure for all machine learning tasks using the Apache Kafka ecosystem.

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DrivenData Labs

NOVEMBER 16, 2023

Better estimates of "snow water equivalent" (SWE) from real-time satellite, ground station, and meteorological data helps water managers plan resources and respond to extreme weather events like floods and droughts. Check out our competitions , and if you have a problem to solve or thoughts on this post we'd love to hear from you.

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ODSC - Open Data Science

APRIL 18, 2023

Mini-Bootcamp and VIP Pass holders will have access to four live virtual sessions on data science fundamentals. Confirmed sessions include: An Introduction to Data Wrangling with SQL with Sheamus McGovern, Software Architect, Data Engineer, and AI expert Programming with Data: Python and Pandas with Daniel Gerlanc, Sr.

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AWS Machine Learning Blog

NOVEMBER 27, 2023

SageMaker endpoints can be registered to the Salesforce Data Cloud to activate predictions in Salesforce. SageMaker Canvas provides a no-code experience to access data from Salesforce Data Cloud and build, test, and deploy models using just a few clicks. After your model begins building, you can leave the page.

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IBM Journey to AI blog

AUGUST 12, 2024

Instead, businesses tend to rely on advanced tools and strategies—namely artificial intelligence for IT operations (AIOps) and machine learning operations (MLOps)—to turn vast quantities of data into actionable insights that can improve IT decision-making and ultimately, the bottom line.

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ODSC - Open Data Science

SEPTEMBER 21, 2023

Secondly, to be a successful ML engineer in the real world, you cannot just understand the technology; you must understand the business. Some typical examples are given in the following table, along with some discussion as to whether or not ML would be an appropriate tool for solving the problem: Figure 1.1:

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