How to Choose your First Machine Learning Project A certification inMachine Learning(ML) is a breakthrough that can help professionals transform every industry, just like telecommunications was launched to witness a transformation of the world. Experts predict that machine learning is all set to creat...
MACHINE learningGRADUATION (Education)ALGORITHMSPROBLEM solvingSUPPORT vector machinesPDF (Computer file format)The graduation projects (GP) are important because it reflects the academic profile and achievement of the students. For many years' graduation projects are done by the inform...
Deepy is an extensible deep learning framework based on Theano. It provides a clean, high-level interface for components such as LSTMs, Batch Normalization, and Auto Encoders. Deepy clearly aims for simplicity, and itsdocumentationand examples aim for the same. It also has a sister project,...
Project Gungnir, the world 1st LLM for time-series multitask modeling, will meet you soon. 🚀 Missing values and variable lengths in your datasets? Hard to perform multitask learning with your time series? Not problems no longer. We'll open application for public beta test recently ;-) Fo...
ExplainaBoard "a tool that inspects your system outputs, identifies what is working and what is not working, and helps inspire you with ideas of where to go next.” explainerdashboard "Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learn...
Four types of small project ideasthat may inspire you, include: Investigate a property of a machine learning tool or library. Investigate the behavior of a machine learning algorithm. Investigate and characterize a data set or machine learning problem. ...
Machine learning phases- Data preparation - Deployment (Models as a service (MaaS)) Key benefits- Facilitates collaboration and project management across various AI services - Provides comprehensive tools for building, training, and deploying AI models ...
Machine learning is a research area of artificial intelligence that enables computers to learn and improve from large datasets without being explicitly programmed. It involves creating algorithms that can analyze patterns in data and generate models for specific tasks, allowing for accurate predictions and...
Awesome Machine Learning A curated list of awesome machine learning frameworks, libraries and software (by language). Inspired by awesome-php.If you want to contribute to this list (please do), send me a pull request or contact me @josephmisiti. Also, a listed repository should be deprecated...
the computationally intensive process of initially training a machine learning model, requiring high processing power and memory bandwidth, often at the cost of power efficiency;essentially, inference chips are for “applying” the learned model, while training chips are for “learning” the model ...