- High-Fidelity Synthetic Data for Data Engineers and Data Scientists Alike - Jul 7, 2022.
Take advantage of your existing data whether it be for testing, training ML models, or unlocking data analysis. Answer nuanced scientific questions, enable better testing, and support business decisions with the synthetic data that looks, feels, and behaves like your production data - because it’s made from your production data.
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- The Resilient ML Stack is Modular - Jun 29, 2022.
So how can an organization stay agile within an ever-shifting ML landscape? Part of the answer lies with establishing a modular ML architecture. Comet will be joined on July 6th in a live webinar by the AI Infrastructure Alliance and Superb AI to discuss how to accelerate AI value with modular MLOps. Register now.
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- Step up your Python game with Fast Python for Data Science! - Jun 28, 2022.
Fast Python for Data Science by Tiago Antao is a hands-on guide to writing Python code that can process more data, faster, and with less resources.
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- Speed up Machine Learning with Fast Kriging (FKR) - Jun 22, 2022.
Machine Learning has revolutionized the world, yet expensive computation costs on model trainings are often a large limitation, especially for large data sets or elevated precisions. VMC Consulting offers a new algorithm called Fast Kriging (FKR), which allows to train models with the high precision of Kriging at a speed 100+ times faster, without compromising precision, for any data set size.
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- Introducing Objectiv: Open-source product analytics infrastructure - Jun 21, 2022.
Collect validated user behavior data that’s ready to model on without prepwork. Take models built on one dataset and deploy & run them on another.
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- Scrape Images Easily from Websites in A No-Coding Way - Jun 9, 2022.
In the upcoming 8.5.4 version of Octoparse, image download during the data scraping process will be supported. You won’t miss it!
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- Every Engineer Should and Can Learn Machine Learning - Jun 8, 2022.
Read this interview with Sourabh Bajaj of co:rise, discussing the evolution of the ML role, how he designed the course to connect with today’s business needs, and how he thinks students can apply the covered topics at the end of each course!
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- Python: The programming language of machine learning - Jun 6, 2022.
You can't avoid learning Python if you work on machine learning problems. You need to know what other people's code means and you need to convey your ideas to them too.
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- Metadata Store for Production ML! - May 31, 2022.
Add Layer to your existing ML code and quickly get a rich model and data registry with experiment tracking!
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- Free Workshop on AI Quality, Back By Popular Demand - May 26, 2022.
AI Quality: Driving ML Performance and Trustworthiness is a free course taught live by five experts from leading universities, including a professor from Carnegie Mellon University and Stanford University. Register today as space is limited!
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- The Curse of Delayed Performance - May 13, 2022.
Predict the performance of your model -Â before the ground truth is available.
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- Top 4 tricks for competing on Kaggle and why you should start - May 11, 2022.
If you aren't familiar with Kaggle, you should be. Hear why from two expert Kagglers in this article.
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- Quick Data Science Tips and Tricks to Learn SAS - May 10, 2022.
How To Tutorials with SAS data scientists and analytics instructors.
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- Getting Deep Learning working in the wild: A Data-Centric Course - Apr 27, 2022.
Data-centric learning resources are somewhat scattered today, and that’s why we developed a new Data Centric Deep Learning course on the co:rise education platform. It is an introduction to a set of approaches and best practices, for people who are trying to do deep learning in the wild.
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- Want to Use Your Data Skills to Solve Global Problems? Here’s What You Need to Know - Apr 26, 2022.
Global risk management is an arena where data brings order to an unpredictable world. Johns Hopkins University’s part-time Master of Arts in Global Risk (online) takes just 18 to 21 months to complete. This multidisciplinary program helps professionals develop the skills to make forward-looking decisions that contribute to risk management.
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- Nota AI releases beta version of NetPresso Model Search, their hardware-aware autoML tool - Apr 21, 2022.
Nota AI has launched the beta testing for NetsPresso Model Search, a hardware-aware autoML tool which searches and finds optimized models for a target device.
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- Winning The Room: Creating and Delivering an Effective Data-Driven Presentation - Apr 20, 2022.
Don’t miss this practical and eye-opening guide on how to present technical data and analytical results to non-technical audiences in a live setting.
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- Guide to Iteratively Tuning GNNs - Apr 18, 2022.
This blog walks through a process for experimenting with hyperparameters, training algorithms and other parameters of Graph Neural Networks.
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- With Data Privacy learn to implement technical privacy solutions and tools at scale - Apr 14, 2022.
Data Privacy: A runbook for engineers, teaches you to implement technical privacy solutions and tools at scale. Master methods that can be instantly applied to almost any system, and rapidly improve your user privacy saving time and resource costs!
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- Launch your career with a Northwestern data science degree - Apr 13, 2022.
Build the essential technical, analytical, and leadership skills needed for careers in today's data-driven world in Northwestern’s Master of Science in Data Science program.
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- Driving Better Business Decisions - Apr 12, 2022.
Analytics-magazine.org and the monthly Analytics eNewsletter deliver the latest information on the impact and role analytics plays in business decision-making. Get in-depth knowledge on the trends that are shaping the future of advanced analytics, data science, AI, machine learning, operation research, and more.
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- Summarization with GPT-3 - Apr 11, 2022.
GPT-3 models are quite convincing and represent the rising power of Cloud AI. Read this excerpt from the book Transformers for Natural Language Processing, Second Edition to see how easy getting started with summarization with GPT-3 can be.
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- 15 Trending MLOps Talks You can Access for Free at ODSC East 2022 - Apr 7, 2022.
Covering topics like workflows and full-stack machine learning, these are 15 free MLOps talks coming to #ODSCEast 2022 that you can see with a free Bronze Pass.
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- Neural Network Optimization with AIMET - Apr 6, 2022.
Using AIMET, developers can incorporate advanced model compression and quantization algorithms into their PyTorch and TensorFlow model-building pipelines for automated post-training optimization, as well as for model fine-tuning.
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- Connect With the Data Science Community at Rev 3 in NYC, the #1 MLOps Conference - Mar 31, 2022.
The most ambitious Enterprise MLOps conference is coming to New York City on May 5-6, bringing the data science community together in-person for a one-of-a-kind event. This year, you’ll hear from 30+ speakers across dozens of industries. Save 50% with the promo code KDN. Register now!
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- Machine Learning Textbook: Stochastic Processes and Simulations - Mar 29, 2022.
The 100 page book on stochastic processes. Published in 2022. This off-the-beaten-path machine learning tutorial is designed for busy professionals, researchers and students eager to learn and apply methods ranging from simple to advanced, in a minimum amount of time. Offered with data sets, source code, videos, spreadsheets and solved exercises.
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- Top AI and Data Science Tools and Techniques for 2022 and Beyond - Mar 17, 2022.
How will AI and data science impact the world of business in the next decade? Find out what trends to look out for in 2022 and beyond at NVIDIA GTC.
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- On-device AI with Developer-Ready Software Stacks - Mar 17, 2022.
Still running your artificial intelligence workloads in the cloud? If your applications depend on techniques like person detection and pose estimation to name a few, then it’s time you looked into on-device AI.
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- Kubernetes In Action: Second Edition - Mar 16, 2022.
Deep dive into Kubernetes, the essential tool for anyone deploying and managing cloud-native applications!
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- Cloud-Native Super Computing - Mar 11, 2022.
NVIDIA BlueField DPUs provide on-demand, simple and secure high-performance computing and AI services.
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- Adding an attention mechanism to RNNs - Mar 10, 2022.
This article is an excerpt from the book Machine Learning with PyTorch and Scikit-learn is the new book from the widely acclaimed and bestselling Python Machine Learning series, fully updated and expanded to cover PyTorch, transformers, graph neural networks, and best practices.
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- Boost Your AI and ML Skills for Free at NVIDIA Conference - Mar 9, 2022.
Four-day conference offers hundreds of learning and development opportunities in AI, ML, DL, robotics, data science and high performance computing for developers at all levels.
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- What certification are you adding to your toolkit in 2022? - Mar 8, 2022.
Learn more about the popular certifications that will validate your data and analytics skills.
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- Calculus: The hidden building block of machine learning - Feb 28, 2022.
Unless you have a basic knowledge of calculus, you cannot understand how machine learning algorithms are developed. Calculus for Machine Learning is designed for developers to get you up to speed on the calculus that you need for applied machine learning. The book has more math than our other books and over 85 code examples to help you understand the concepts.
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- PyTorch or TensorFlow? Comparing popular Machine Learning frameworks - Feb 24, 2022.
Machine Learning with PyTorch and Scikit-learn is the PyTorch book from the widely acclaimed and bestselling Python Machine Learning series, fully updated and expanded to cover PyTorch, transformers, graph neural networks, and best practices.
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- Octoparse 8.5: Empowering Local Scraping and More - Feb 18, 2022.
Octoparse 8.5 is now released with game-changing new features and major improvements.
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- A new book that will revolutionize the way your organization approaches data! - Feb 17, 2022.
Data Mesh in Action by Jacek Majchrzak, Sven Balnojan, and Marian Siwiak reveals how this new groundbreaking decentralized architecture looks for both small startups and large enterprises.
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- Deep Learning with Python: Second Edition by François Chollet - Jan 25, 2022.
Now in print! New edition of the bestselling original by François Chollet.
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