Source The technology that was invented to power Bitcoin in 2008, is now being used for almost everything. Most likely you’ve already heard or read the term blockchain somewhere and know there is a huge buzz going around it in the technology domain. The technology that was invented to power Bitcoin in 2008, is nowContinue reading “What is Blockchain with 3 features?”
Author Archives: 365Data Science
What I learned from looking at 200 machine learning tools
While hundreds of machine learning tools are available today, the ML software landscape may still be underdeveloped with more room to mature. This review considers the state of ML tools, existing challenges, and which frameworks are addressing the future of machine learning software. Originally from KDnuggets https://ift.tt/30uZ6AQ source https://365datascience.weebly.com/the-best-data-science-blog-2020/what-i-learned-from-looking-at-200-machine-learning-tools
Data Mining and Machine Learning: Fundamental Concepts and Algorithms: The Free eBook
The second edition of Data Mining and Machine Learning: Fundamental Concepts and Algorithms is available to read freely online, and includes a new part on regression with chapters on linear regression, logistic regression, neural networks, deep learning and regression assessment. Originally from KDnuggets https://ift.tt/3hp0taW source https://365datascience.weebly.com/the-best-data-science-blog-2020/data-mining-and-machine-learning-fundamental-concepts-and-algorithms-the-free-ebook
Discover The Good The Bad And The Ugly Of Two-Dimensional Score Matrices
Two-dimensional score matrices are used in marketing, origination, or account management to make decisions, with other variables or policy rules. Let’s examine the pros and cons of this approach. Originally from KDnuggets https://ift.tt/2E2eEEK source https://365datascience.weebly.com/the-best-data-science-blog-2020/discover-the-good-the-bad-and-the-ugly-of-two-dimensional-score-matrices
Recurrent Neural Networks (RNN): Deep Learning for Sequential Data
Recurrent Neural Networks can be used for a number of ways such as detecting the next word/letter, forecasting financial asset prices in a temporal space, action modeling in sports, music composition, image generation, and more. Originally from KDnuggets https://ift.tt/2Cym5Dd source https://365datascience.weebly.com/the-best-data-science-blog-2020/recurrent-neural-networks-rnn-deep-learning-for-sequential-data
Reading: PANetPath Aggregation Network 1st Place in COCO 2017 Challenge (Instance Segmentation)
Source Reading: PANet — Path Aggregation Network, 1st Place in COCO 2017 Challenge (Instance Segmentation) 1st Place in COCO 2017 Instance Segmentation, 2nd Place in COCO 2017 Object Detection, Outperforms Mask R-CNN, FCIS, G-RMI, & RetinaNet In this story, Path Aggregation Network (PANet), by The Chinese University of Hong Kong, Peking University, SenseTime Research, and YouTu Lab,Continue reading “Reading: PANetPath Aggregation Network 1st Place in COCO 2017 Challenge (Instance Segmentation)”
How AI Is Going To Change The Future Of Web Development
Source In this advanced time, web application improvement is developing at an extraordinary rate. The top tech industry is utilizing AI innovation in different manners. Organizations like Amazon, Microsoft, Facebook, Google, and Apple have been forcefully gaining this innovation. We realize that nowadays many people utilize portable through access to the web. This shows thatContinue reading “How AI Is Going To Change The Future Of Web Development”
Using the latest NLP techniques for Fun!!!
Recent advancements in the field of Language Processing have taken the NLP community by storm. In this article, you will learn how to use… Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/using-the-latest-nlp-techniques-for-fun-98f31ce7b556?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/using-the-latest-nlp-techniques-for-fun
Data Science MOOCs are too Superficial
Most massive open online courses are too superficial because they offer introductory-level courses. For in-depth knowledge, more is needed to increase your knowledge and expertise after establishing a foundation. Originally from KDnuggets https://ift.tt/2WFLvp8 source https://365datascience.weebly.com/the-best-data-science-blog-2020/data-science-moocs-are-too-superficial
Top Stories Jul 13-19: The Bitter Lesson of Machine Learning
Also: 3 Advanced Python Features You Should Know; Understanding How Neural Networks Think; Free MIT Courses on Calculus: The Key to Understanding Deep Learning; How Much Math do you need in Data Science? Originally from KDnuggets https://ift.tt/32OwdCH source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-stories-jul-13-19-the-bitter-lesson-of-machine-learning
365 Data Science 