Author Archives: 365Data Science

Transformers Are for Natural Language Processing (NLP), Right? There has been no shortage of developments vying for a share of your attention over the last year or so. However, if you regularly follow the state of machine learning research you may recall a loud contender for a share of your mind in OpenAI’s GPT-3 and accompanyingContinue reading “Vision Transformers: Natural Language Processing (NLP) Increases Efficiency and Model Generality”

This article provides an overview of LPR systems. The description starts ‘technical’ then proceeds to the ‘market’ view. Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/license-plate-recognition-all-you-need-to-know-303c85059e15?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/license-plate-recognition-all-you-need-to-know

A Data Scientist must be a jack of many, many trades. Especially when working in broader teams, understanding the roles of others, such as data engineering, can help you validate progress and be aware of potential pitfalls. So, how can you convince your analysts to realize the importance of expanding their toolkit? Examples from realContinue reading “Data Engineering the Cousin of Data Science is Troublesome”

Kaggle’s survey of ‘State of Data Science and Machine Learning 2020’ covers a lot of diverse topics. In this post, we are going to look at the popularity of cloud computing platforms and products among the data science and ML professionals participated in the survey. Originally from KDnuggets https://ift.tt/3iCUUrs source https://365datascience.weebly.com/the-best-data-science-blog-2020/cloud-computing-data-science-and-ml-trends-in-20202022-the-battle-of-giants

The need to deal with the challenges and other smaller nuances of deploying machine learning models has given rise to the relatively new concept of MLOps. – a set of best practices aimed at automating the ML lifecycle, bringing together the ML system development and ML system operations. Originally from KDnuggets https://ift.tt/3qJpjaa source https://365datascience.weebly.com/the-best-data-science-blog-2020/how-to-use-mlops-for-an-effective-ai-strategy

What is Artificial Intelligence (AI)? There are many sources which give similar answers to the question, “What is AI?”. By the 1950’s, there were many scientists, mathematicians and philosophers that were looking into the concept of Artificial Intelligence. One such person was Alan Turing, who to this day is considered by many to be theContinue reading “Top 5 Artificial Intelligence (AI) Trends for 2021”

Many online tools and platforms exist to help you establish a clear and persuasive online profile for potential employers to review. Have you considered how your go-to online code repository could also help you land your next job? Originally from KDnuggets https://ift.tt/3iz1Kht source https://365datascience.weebly.com/the-best-data-science-blog-2020/going-beyond-the-repo-github-for-career-growth-in-ai-machine-learning

From voice and language driven AI to healthcare, cybersecurity and beyond, these are some of the key AI trends for 2021. Originally from KDnuggets https://ift.tt/3obbpMI source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-5-artificial-intelligence-ai-trends-for-2021

Join technology experts, partners and analysts in the industry to see what is taking off in AI, cloud computing and putting models into production for better outcomes and trusted results. Register today! Originally from KDnuggets https://ift.tt/39S3hLB source https://365datascience.weebly.com/the-best-data-science-blog-2020/travel-to-faster-trusted-decisions-in-the-cloud

Learn how to use TensorFlow Variables, their differences from plain Tensor objects, and when they are preferred over these Tensor objects | Deep Learning with TensorFlow 2.x. Originally from KDnuggets https://ift.tt/3itMRgq source https://365datascience.weebly.com/the-best-data-science-blog-2020/mastering-tensorflow-variables-in-5-easy-steps