Menu
Data scarcity is seen as a major bottleneck to AI progress, but MetaAI’s Yann LeCun thinks otherwise.
Yann LeCun said that though RL is inevitable in machine learning, the purpose behind incorporating it in algorithms should be to eventually minimise its use.
LeCun clearly is at odds with reinforcement learning and believes that for AI with common sense, it is not the way forward
From data visualisation to deep learning libraries, Python is the most valuable language for machine learning.
Just like humans, machines have started learning from nothingness to learn better.
Here is a list of YouTube channels to subscribe to learn about data science over the weekend
Not all machine learning innovations are successful.
Reducing the size of the model using these techniques can help reduce the inference time of the model
Check your machine learning models’ accuracy and performance based on these evaluation metrics.
Just like reinforcement learning, self-supervised or unsupervised learning also witnessed various new models in 2022. Here are a few of them
The primary idea of the algorithm is to leverage predictive information in order to obtain a representation of the high-dimensional environment dynamics
The best of everything and anything released in ML!
From robots playing football to learning how to walk on the moon!
Hey ML enthusiasts, check out this list of algorithms that you can explore.
While there are various practical applications of reinforcement learning, the concept as a whole poses some limitations when used in developing autonomous machine intelligence
“The model is only as good as the data it consumes, the recommendation is only as good as the delivery, and the process is only as good as the discipline we instill,” says ITC head of sales analytics.
Data science systems power ranking, recommendation, personalisation systems, pricing modules, image and NLU content systems, contextual recommendation systems, insurance, fraud and risk systems.
With over 20+ years of experience in the IT industry, Sripriya has worked for key Fortune 20 clients globally on both large bids/solutioning and delivery. She believes that as an architect, one must keep learning to stay updated with today’s fast-paced technology.
Uncertainty, probability, infinite-datasets, lack of causality are only few of the several challenges in machine learning.
The PaLI model, pre-trained on WebLI, is claimed to achieve state-of-the-art performance on challenging image and language benchmarks, such as COCO-Captions, CC3M, TextCaps, nocaps, VQAv2, and OK-VQA.
In India, the Government of Andhra Pradesh, in association with Microsoft, used Azure’s machine learning platform to address the issue of school dropouts.
Traditional machine learning models were capable of inferring and generating data but with the developing technology, were replaced by better alternatives.
BigML’s no/low-code approach to ML provides entry for a much larger audience than just PhDs and data scientists that most other tools target.
ZKPs employs privacy-preserving datasets inside transparent systems such as public blockchain networks like Ethereum
Data science and its applications are becoming more common in a rapidly digitising world. This report presents a comprehensive view to all the stakeholders — students, professionals, recruiters, and others — about the different key data science tools or skillsets required to start or advance a career in the data science industry.
The most important thing for aspirants is to get the fundamentals right before diving into data science and AI, feels Amit
Pytorch learning rate scheduler is used to find the optimal learning rate for various models by conisdering the model architecture and parameters.
The Cyclic Learning rate method finds the rate automatically.
Laptops with GPU provide an additional advantage to speed up the training process and help reduce time from model training
Learning rate controls the amount of information to be learned.
Join the forefront of data innovation at the Data Engineering Summit 2024, where industry leaders redefine technology’s future.
© Analytics India Magazine Pvt Ltd & AIM Media House LLC 2024
