At the ongoing AWS re:Invent 2021 event, Sivasubramanian presented some of the most intriguing launches from AWS on the machine learning front.
Julia 1.7 now uses a much smaller state of the Xoshiro256 family of RNGs to put a state in every task and fork it on each task creation.
The main advantage of DataSpell over Jupyter or JupyterLab is the availability of intelligent coding assistance and lots of other features offered by the full-fledged IDE.
In an exclusive interview with AIM, Mehreen Shamim, Intel’s AI Impact Shapers awardee, shared the importance of building an ecosystem of AI learning
The accuracy of the trained model depends on the accuracy of the ground truth, hence, spending the right amount of time and resources to ensure highly accurate data labelling is essential.
Introduced in 2017, Uber’s Michelangelo has been in the works for two years. The goal behind building a proprietary ML-as-a-service platform is to make AI scaling as easy as booking a ride.
Here is a curated list of top free AI and data science courses of 2021.
Nvidia doubles down on artificial intelligence language models and inference as a platform for the Metaverse, in data centres, the cloud, and at the edge.
What are the benefits of learning Python for data processing?
There is a misconception that the data science industry is just about knowing a few technologies, which can be easily acquired in reality.
As we go further down the AI maturity curve, tasks such as AI governance and managing AI products through their entire lifecycle become critical.
Over 25,000 data scientists and ML engineers have been surveyed to formulate this report.
What if you want to do machine learning with the data that is in motion? What if you wish to train machine learning models on real-time data? The answer is Online Machine Learning
Charlie Bell will be assuming his new role after a 23-year stint with Amazon AWS, where he oversaw engineering, operations, and product development.
In NLP data preprocessing tagging of data takes a very crucial part. here we is a type of tagging which we calls Named Entity Recognition helps in providing tag to Named entity.
The Association of Data Scientists has announced a hands-on workshop on mastering data engineering skills.
PyTorch lightning software and developer environment is available on NGC Catalog
Wiz was able to gain complete and unrestricted access to thousands of Azure customers, including many Fortune 500 companies via a Jupyter Notebook feature.
image transformation are some basic techniques to deal with images where we performs various procedure to make a image data to deal well with image modeling processes.
Creating representations of words is to capture their meaning, semantic relationship, and context of different words; here, different word embedding techniques play a role. A word embedding is an approach used to provide dense vector representation of words that capture some context words about their own.
Initially developed by Intel, OpenCV is an open-source computer vision cross-platform library for real-time image processing and which has become a standard tool for all things related to computer vision applications. In 2000, the first version of OpenCV was released; since then, its functionality has been very much enriched and simplified by the scientific community. Later in 2012, a nonprofit foundation OpenCV.org took the initiative for maintaining a support site for developers and users.
We touch upon popular hacks to win data science hackathons.
Exploratory data analysis allows manipulation of data sources to assist data scientists in checking hypotheses and discovering patterns.
Copilot works with various frameworks and languages like JavaScript, Python, TypeScript, Go, Ruby, etc.
Feature engineering simplifies data reading for machine learning models and improves the performance of algorithms.
Mito is an open-source python library. For creating interactive dashboards and graphs with the. Mito makes EDA faster.
The starter kit is part of the IBM Cloud-Native Toolkit
The Association of Data Scientists has announced a hands-on workshop on exploratory data analysis and visualisation techniques.
Web scraping, surveys, questionnaires, focus groups, etc., are some of the widely used mechanisms for gathering insightful data. However, web scraping is considered the most reliable and efficient data collection method out of all these methods. Web scraping, also termed as web data extraction, is an automatic method for scraping large data from websites. It processes the HTML of a web page to extract data for manipulation, such as collecting textual data and storing it into some data frames or in a database.
SQL can be used to store, access and extract massive amounts of data to carry out the whole Data Science process smoothly. The beginning process involved in Data Science is to perform a lot of querying operations, a lot of search operation, extraction operation, editing or modifying operation to do all that while having Big Data we need a huge management system along with that we need language to perform all the operation that we want to do with data that’s why SQL comes in picture.
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