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2,019+ research articles, technical guides, and in-depth analyses authored by council members and industry experts.
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2,019 articles
Google and Amazon interview questions for ML researcher
Google and Amazon- Landing an excellent job here isn’t just the luck of the draw. For every budding AI engineer, these tech titans are a dream come true. Any fresh engineering graduate who has left college dreams of working at Google or Amazon in the perfect working environment. But…
Leading ML stack for getting hired at google
Data Science is driving recent advances in Machine Learning and Artificial Intelligence. Due to this, there is a significant growth of ML libraries and the Python programming language. Data Science is about producing insights, whereas AI produces actions, and ML makes predictions. All the three…
Databricks acquires Redash, a visualizations service for data scientists
Databricks, the data, and AI company announced that Delta Engine is available and that Redash will be acquired. These new capabilities make the use of its Unified Data Analytics platform for data science, machine learning, and a wide range of data analytics use cases faster and more comfortable for…
Data science, meet evidence-based medicine
Do you know how data is used in the medical industry? Probably you have some insight, but the actual picture leaves a lot to be desired. In the first half of the 90s, evidence-based medicine or the EBM movement tried to make medicine more data-driven. We have much data today as a result of…
Using Artificial Intelligence/ Machine Learning to Detect Domain Generation Algorithms
Malicious actors are continually finding new ways to avoid detection in today’s world of ever-evolving cyber-threats. The more dynamic they are in their strategy, the more successful they are in getting past defenses that use static methods, like rarely updated blacklists. In this…
Photon-based processing units enable more complex machine learning
The goal of artificial intelligence is to duplicate the capabilities of the human brain. Deep learning is the branch of AI that gives the machine the power to think like humans. A machine learning expert works with neural networks for a range of applications. Recently, Applied Physics Reviews, a…
Big Data and Collaboration Seek to Fight Covid-19
Covid-19’s rapid global spread has brought forward advanced Big Data Analytics tools at the front and center, with entities from all healthcare industry sectors seeking to monitor and reduce the impact of this virus. Researchers and developers increasingly use artificial intelligence, machine…
How Do Data Science Machine Learning And Artificial Intelligence Overlap
In conjunction with data science and digital transformation, you have probably heard the terms of artificial intelligence, machine learning, and deep learning is used. You might wonder what the relationship between those topics is. How do companies in industries range from biopharma to chemicals to…
Cybersecurity in the Age of the Internet of Things
OT and IT teams are collaborating at a never seen before rate to strengthen organizational network security. This is because of the rise of remote access, automation, and the Internet of Things(IoT). In the IoT landscape, there are specific entry points that can be exploited by attackers. The term…
Future of Data Analytics
According to a McKinsey report, data analytics has the fastest growth rate of 16-18% over the next five years. This means data analytics will gain momentum in the foreseeable future and be the core of new technical solutions. Data analytics has evolved from descriptive analytics to predictive…
AI changing the video game industry: augmentation and synthetic media
Google announced the Cloud AI Platform, which provides users with a way to deploy robust, repeatable machine learning pipelines and monitoring, auditing, version tracking, and reproducibility. With Cloud AI Platform, Google can help organizations adopt the Machine Learning Operations practice, also…
Google’s Cloud AI Platform to simplify machine learning development
Google announced the Cloud AI Platform, which provides users with a way to deploy robust, repeatable machine learning pipelines and monitoring, auditing, version tracking, and reproducibility. With Cloud AI Platform, Google can help organizations adopt the Machine Learning Operations practice, also…