AWS offers different certification programs to recognize talents in different fields. In the field of Data Science and Machine Learning, it offers two popular certifications
Scaling the target value is a good idea in regression modelling; scaling of the data makes it easy for a model to learn and understand the problem.
I have never restricted myself to a specific domain or kind of modelling technique. I have always liked to explore new domains and learn new algorithms.
Zomato saw 3x improvement in its ‘feature store’ service compared to last year
A Linux Distro is an open-source Linux operating system packaged with components like installation programmes, management tools and additional softwares.
According to Kaggle, the most commonly used algorithms were linear and logistic regression, followed closely by decision trees and random forests.
MachineHack MOCKS — A Skill Assessment Module On Machine Learning — is for students & working professionals, looking to practice & sharpen their skills in different aspects of the data science domain.
Data leakages can increase risks of leaking any type of personal sensitive data that can be traced back to a real individual’s identity.
We will explain how machine learning technology empowers predictive maintenance and the key ML techniques used by predictive maintenance.
In recent times, distributed and federated ML are being favoured approaches as they allow for larger data analysis.
In 2019, the Ministry of Earth Sciences announced initiatives for improving weather forecasting using AI.
Likelihood-based ranking diagnostics have a standard deviation of over 2.5 percentage points in many categories.
Pyspark is a data analysis tool created by the Apache Spark community for using Python and Spark. It allows you to work with Resilient Distributed Dataset(RDD) and DataFrames in python.
“I worked on a hackathon problem for 48 hours straight. I didn’t win it. But I learned about something extraordinary – machine learning.” Abhishek Choudhary
Microsoft has launched a free MIT-approved learning course titled “Machine Learning For Beginners” to teach students the basics of machine learning. The course duration is
The ride-hailing giant Uber is currently present in 10K cities across 71 countries, and its platform is used by 93 million customers and 3.5 million
Advancements in quantum computing have increased the expectation for its future influence in real-world applications. However, how will quantum computers impact machine learning? Significant efforts
In 2021, the average annual salary for a ‘machine learning engineer’ in India is INR 8 lakh ($10,757), as per Glassdoor. But according to PayScale,
The University of Liverpool researchers have conducted a study to predict over 20,000 unknown associations between known viruses and susceptible mammalian species. The research, published
The iHub-Data at the Indian Institute of Information Technology, Hyderabad (IIITH) has launched a 50-week foundational course (online) in machine learning for engineering students. Third
Analytics India Magazine got in touch with Abhishek Bhandwaldar, Research Engineer at IBM to understand his machine learning journey. Abhishek has a Master’s in Computer
Amazon India has announced the launch of its Machine Learning Summer School, an integrated learning programme to make students industry ready. The programme is open
There is no dearth of sources when it comes to mastering machine learning. Now this is a problem too. Be it a book or a
“While we can predict house prices with accuracy, we cannot use such ML models to answer questions like whether one needs more dining rooms.” Artificial
The Indian Space Research Organisation has announced a five-day free course on machine learning, between July 5 -9. The course is being offered as part
As a machine learning (ML) engineer, you will have to build scalable software systems for data science and machine learning applications, to create programs and
In Quantum computing, users can physically control parameters like Electromagnetic field’s strength, frequency of a laser pulse, or others to solve problems. Thus, Quantum computers
Machine learning in embedded systems allows the use of that data in automated business processes to make more educated predictions. Running machine learning models on
The scale and complexity of machine learning make it hard to provide and manage data and resources efficiently. This hinders and decreases productivity. The easiest
“Ever since the beginning of the pandemic, the complexity of frauds has gone up many folds,” said Parikshit Chitalkar, co-founder of digital lending platform StashFin.
Join the forefront of data innovation at the Data Engineering Summit 2024 where industry leaders redefine technology 8217 s future
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