This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
In the rapidly evolving world of data science, where cutting-edge technology drives innovation, the traditional one-size-fits-all software solutions are increasingly being challenged. Micro-SaaS , short for Micro Software-as-a-Service, is gaining traction as an innovative approach to solving complex data science problems.
Amazon SageMaker Canvas now supports deploying machine learning (ML) models to real-time inferencing endpoints, allowing you take your ML models to production and drive action based on ML-powered insights. It also makes operationalizing ML models more accessible to individuals, without the need to write code.
Machine learning (ML) has become a critical component of many organizations’ digital transformation strategy. From predicting customer behavior to optimizing business processes, ML algorithms are increasingly being used to make decisions that impact business outcomes.
It 10x’s our world-class AI platform by dramatically increasing the flexibility of DataRobot for datascientists who love to code and share their expertise across teams of all skill levels. Data Exploration, Visualization, and First-Class Integration. Put simply, Zepl helps make DataRobot easily customizable. Stay tuned.
Launched in 2021, Amazon SageMaker Canvas is a visual point-and-click service that allows business analysts and citizendatascientists to use ready-to-use machine learning (ML) models and build custom ML models to generate accurate predictions without writing any code.
Video of the Week: Accelerate Your AI/ML Initiatives and Deliver Business Value Quickly In this enlightening video, join Mahesh Krishnan and Peter Kilroy as they delve into the world of enterprise-level AI adoption.
Adam Ross Nelson on Confident Data Science In this interview, we talk about what confident data science is, how datascientists can confidently and ethically use AI, and emerging fields like prompt engineering.
Real-Time ML with Spark and SBERT, AI Coding Assistants, Data Lake Vendors, and ODSC East Highlights Getting Up to Speed on Real-Time Machine Learning with Spark and SBERT Learn more about real-time machine learning by using this approach that uses Apache Spark and SBERT. Well, these libraries will give you a solid start.
Datascientists are playing a critical role, advising decision-makers as […]. The post Four Technology Trends That Will Shape Data Analytics in 2021 appeared first on DATAVERSITY.
SageMaker endpoints can be registered with Salesforce Data Cloud to activate predictions in Salesforce. He has over 10 years of experience in planning, building, launching, and managing world-class solutions for enterprise customers, including AI/ML and cloud solutions. Follow him on LinkedIn. You can connect with him on LinkedIn.
The Implications of Scaling Airflow Wondering why you’re spending days just deploying code and ML models? How DataScientists Can Benefit from Using LinkedIn More Let’s discuss how to use LinkedIn to your advantage as a datascientist to find a new job, highlight your expertise, and expand your network.
Data Communication in the Age of AI Alan Rutter, Founder, Fire Plus Algebra In this new era of AI, the emergence of generative AI and large language models has not only been a product of the work of datascientists but also promises to reshape the roles of all data professionals. Generative NLP models in customer service.
DataScientist Sharada Narayanan as she dives into the strengths, uses, and limitations of popular time-series forecasting techniques like ARIMA and Prophet. Upcoming Webinars: Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering Thu, Oct 5, 2023 12:00 PM — 1:00 PM EDT Join dotData Sr.
Today’s data management and analytics products have infused artificial intelligence (AI) and machine learning (ML) algorithms into their core capabilities. These modern tools will auto-profile the data, detect joins and overlaps, and offer recommendations. 2) Line of business is taking a more active role in data projects.
Jason Goldfarb, senior datascientist at State Farm , gave a presentation entitled “Reusable Data Cleaning Pipelines in Python” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. It has always amazed me how much time the data cleaning portion of my job takes to complete. Good question.
Jason Goldfarb, senior datascientist at State Farm , gave a presentation entitled “Reusable Data Cleaning Pipelines in Python” at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. It has always amazed me how much time the data cleaning portion of my job takes to complete. Good question.
Synthetic data generation is a solution that allows citizendatascientists and auto ML users to quickly and safely create and use business-critical data assets. Benefits go beyond democratizing data access, and even those with privileged data access build synthetic data generators into their workflows.
Launched in 2021, Amazon SageMaker Canvas is a visual, point-and-click service that allows business analysts and citizendatascientists to use ready-to-use machine learning (ML) models and build custom ML models to generate accurate predictions without the need to write any code.
The rise of advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML) , and Big Data analytics is reshaping industries and creating new opportunities for DataScientists. Automated Machine Learning (AutoML) will democratize access to Data Science tools and techniques.
The founding of the 10X Academy is part of DataRobot’s commitment to developing automation that improves the productivity of datascientists while democratizing access to AI for non-datascientists. In terms of data analysis, I scraped huge datasets and applied NLP, feature engineering, and ML algorithms using Python.”.
ML/AI Enthusiasts, and Learners CitizenDataScientists who prefer a low code solution for quick testing. Experienced DataScientists who want to try out different use-cases as per their business context for quick prototyping. Students and Teachers.
Related Sources for Workforce Augmentation: With Adecco Group, we helped deploy 60 AI/ML projects in just a few weeks. At American Fidelity, we helped train 200 DataScientists and deploy 30 models. DataRobot can help identify employees at risk of quitting, especially in a high-turnover, high-burnout job like a SOC analyst.
SageMaker endpoints can be registered to the Salesforce Data Cloud to activate predictions in Salesforce. SageMaker Canvas also enables you to understand your predictions using feature importance and SHAP values, making it straightforward for you to explain predictions made by ML models.
Amazon SageMaker Canvas is a no-code workspace that enables analysts and citizendatascientists to generate accurate machine learning (ML) predictions for their business needs. This flexibility can provide more robust and insightful model development. See Logging out of Amazon SageMaker Canvas for more details.
We organize all of the trending information in your field so you don't have to. Join 17,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content