A visual introduction to probability and statistics: 1. Basic Probability, 2. Compound Probability, 3. Probability Distributions, 4. Frequentist Inference, 5. Bayesian Inference, 6. Regression Analysis.
Interested in Transformers, the deep learning model that has taken the world by storm? Want to have intimate discussions with researchers? If so, this course is for you! It's not every day that you get to personally hear from and chat with the authors of the papers you read!
Learning Data Science is an introductory textbook for data science published by O’Reilly Media in 2023. It covers foundational skills in programming and statistics that encompass the data science lifecycle.
Nvidia is working with Indosat to empower local telecom infrastructure with AI while boosting its AI presence in Southeast Asia. (Ben Wodecki - AI BUSINESS)
The General Language Understanding Evaluation (GLUE) benchmark is a collection of resources for training, evaluating, and analyzing natural language understanding systems.
Here are the comparison results between the latest fundamental models produced by the world's tech giants in different Scenarios, along with some relevant details.
ower BI amplifies your insights and the value of your data. With Power BI documentation, you get expert information and answers to address your needs, no matter how you use Power BI.
At AI-ARTS, our ultimate goal is to ignite a global artistic revolution by fostering and promoting the inspiring creations crafted through the fusion of art and artificial intelligence.
AIAI is an alliance of AI ecosystem innovators committed to creating the next generation of machine intelligence.Conversations and content about Artificial Intelligence, Generative AI, Deep Learning, Machine Learning, AI Accelerators, AI Hardware, AI chipsets, computer vision, embedded systems, ASIC, SoC, Tensorflow, Edge TPU, embedded systems, computer vision, RISC-V and more.
In a new survey released on Friday, Adecco Group, a leading staffing provider, has unveiled insights that predict a significant transformation in the global employment landscape over the next five years. And what’s driving this? (ODSC)
Nvidia is working with Indosat to empower local telecom infrastructure with AI while boosting its AI presence in Southeast Asia. (Ben Wodecki - AI BUSINESS)
To see what the future might look like, it is often helpful to study our history. This is what I will do in this article. I retrace the brief history of computers and artificial intelligence to see what we can expect for the future.
As a beginner in data science, it’s hard to understand all the concepts you learn without implementing them on a dataset. Working on data science projects and case studies will help you improve your data science skills.
A visual introduction to probability and statistics: 1. Basic Probability, 2. Compound Probability, 3. Probability Distributions, 4. Frequentist Inference, 5. Bayesian Inference, 6. Regression Analysis.
Given how AI and machine learning are being used in industries like medicine and space exploration, the potential of AI assisting humanity's evolution as a species isn't ruled out.
This video shows how to call Python® code from MATLAB® using a sentiment analysis example. This example consists of listening to audio through a microphone, detecting text from speech, and using a pretrained machine learning model to predict the sentiment (positive, negative, or neutral) of the detected text.
MATLAB provides flexible, two-way integration with many programming languages, including Python. This allows different teams to work together and use MATLAB algorithms within production software and IT systems. Here are several links to learn more about the topic.
The General Language Understanding Evaluation (GLUE) benchmark is a collection of resources for training, evaluating, and analyzing natural language understanding systems.
Here are the comparison results between the latest fundamental models produced by the world's tech giants in different Scenarios, along with some relevant details.
Discover the best ways to use pack offers with Experiences. Experiences are curated bundles of pack partner products, GitHub tools, and other resources that are designed for you learn new skills and make the most out of the Student Developer Pack and your journey in Global Campus.
A free course offering the core concept of Calculus, with a visuals-first approach aimed at making you feel like you could have discovered the subject yourself.
Interested in Transformers, the deep learning model that has taken the world by storm? Want to have intimate discussions with researchers? If so, this course is for you! It's not every day that you get to personally hear from and chat with the authors of the papers you read!
This course, diving deeply into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React, and Bootstrap.
Learn python and data science from a physics graduate. Tutorials and reviews on this channel will teach you how to analyze data effectively using python.
Learning Data Science is an introductory textbook for data science published by O’Reilly Media in 2023. It covers foundational skills in programming and statistics that encompass the data science lifecycle.
ower BI amplifies your insights and the value of your data. With Power BI documentation, you get expert information and answers to address your needs, no matter how you use Power BI.
An index of datasets, SDKs, APIs and other open source code created by Microsoft researchers and shared with the broader academic community. We also maintain a collection highlighting some of the tools.
An index of datasets, SDKs, APIs and other open source code created by Microsoft researchers and shared with the broader academic community. We also maintain a collection highlighting some of the tools.
All datasets on the Registry of Open Data are now discoverable on AWS Data Exchange alongside 3,000+ existing data products from category-leading data providers across industries. Explore the catalog to find open, free, and commercial data sets.
This is a list of topic-centric public data sources in high quality. They are collected and tidied from blogs, answers, and user responses. Most of the data sets listed are free, however, some are not.
Kaggle offers diverse datasets for exploring public code and techniques, discussing data, and creating projects in Notebooks. With minimum effort, you can explore exciting datasets!
The UCI Machine Learning Repository is a collection of databases, domain theories, and data generators that are used by the machine learning community for the empirical analysis of machine learning algorithms.
he Alexa Prize is a series of competitions for university students dedicated to accelerating the field of artificial intelligence. Participating teams will advance several areas of AI through generalizable methodologies such as continuous learning, teachable AI, multimodal understanding, and reasoning.
At AI-ARTS, our ultimate goal is to ignite a global artistic revolution by fostering and promoting the inspiring creations crafted through the fusion of art and artificial intelligence.
Data Science Central is the industry’s leading online resource for data practitioners. From Statistics and Analytics to Machine Learning and AI, Data Science Central provides a community experience that includes a rich editorial platform, social interaction, forum-based support, and the latest information on technology, tools, trends, and careers.
AIAI is an alliance of AI ecosystem innovators committed to creating the next generation of machine intelligence.Conversations and content about Artificial Intelligence, Generative AI, Deep Learning, Machine Learning, AI Accelerators, AI Hardware, AI chipsets, computer vision, embedded systems, ASIC, SoC, Tensorflow, Edge TPU, embedded systems, computer vision, RISC-V and more.
The Stanford Artificial Intelligence Laboratory (SAIL) has been a center of excellence for Artificial Intelligence research, teaching, theory, and practice since its founding in 1963.
CSAIL researchers imagine and build the future by developing fundamental new technologies and conducting basic research that furthers the field of computing and its applications.
Google's mission has always been to organize the world's information and make it universally accessible and useful. We're excited about the transformational power of AI and the helpful new ways it can be applied.
NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society.
Data governance refers to diverse arrangements, including technical, policy, regulatory or institutional provisions, that affect data and their cycle (creation, collection, storage, use, protection, access, sharing and deletion) across policy domains and organisational and national borders.
WWR says: "For over a decade WWR has been the number one destination to find and list incredible remote jobs. We're home to the largest remote work community in the world with 4.5M visitors."
