Author Archives: 365Data Science

Theoretical relevance of features must not be ignored. Originally from KDnuggets https://ift.tt/3g48jtd source https://365datascience.weebly.com/the-best-data-science-blog-2020/why-automated-feature-selection-has-its-risks

In this article, we’ll look at some of the real-world applications of reinforcement learning. Originally from KDnuggets https://ift.tt/2Rv27QX source https://365datascience.weebly.com/the-best-data-science-blog-2020/10-real-life-applications-of-reinforcement-learning

Women in A.I. Artificial Intelligence, machine learning and data science are transforming technology rapidly . It is revolutionizing every single bit and place- from education to healthcare, from government to automation, agriculture to security and surveillance, none of sectors remained untouched. The global pandemic has had a varying impact on different tech sectors, but for Artificial Intelligence,Continue reading “WOMEN IN A.I. Future is Female”

My Artificial Intelligence Journey Through YouTube Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/learning-not-to-fear-machine-learning-8d8239b0a423?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/learning-not-to-fear-machine-learning

BERT Transformers — How Do They Work? BERT Transformers Are Revolutionary But How Do They Work? BERT, introduced by Google in 2018, was one of the most influential papers for NLP. But it is still hard to understand. BERT stands for Bidirectional Encoder Representations from Transformers. In this article, we will go a step further and try to explainContinue reading “BERT TransformersHow Do They Work?”

Developing machine learning models that can perform predictive functions on data it has never seen before has become an important research area called zero-shot learning. We tend to be pretty great at recognizing things in the world we never saw before, and zero-shot learning offers a possible path toward mimicking this powerful human capability. OriginallyContinue reading “Zero-Shot Learning: Can you classify an object without seeing it before?”

Also: Shapash: Making Machine Learning Models Understandable; A/B Testing: 7 Common Questions and Answers in Data Science Interviews, Part 2; How to deploy Machine Learning/Deep Learning models to the web; Working With Time Series Using SQL Originally from KDnuggets https://ift.tt/3sbDzsH source https://365datascience.weebly.com/the-best-data-science-blog-2020/top-stories-apr-5-11-awesome-tricks-and-best-practices-from-kaggle-how-to-deploy-machine-learningdeep-learning-models-to-the-web

Read on to find how to restore the power of NLP for long sequences. Originally from KDnuggets https://ift.tt/325znjw source https://365datascience.weebly.com/the-best-data-science-blog-2020/how-to-apply-transformers-to-any-length-of-text

Interested in learning more about interpretability in machine learning? Check out this free eBook to learn about the basics, simple interpretable models, and strategies for interpreting more complex black box models. Originally from KDnuggets https://ift.tt/3d2CrTP source https://365datascience.weebly.com/the-best-data-science-blog-2020/interpretable-machine-learning-the-free-ebook

Understanding the Evolution of AI, Machine Learning, and Deep Learning First, a little context… Deep learning is a subset of machine learning, which in turn is a subset of artificial intelligence, but the origins of these names arose from an interesting history. In addition, there are fascinating technical characteristics that can differentiate deep learning from other typesContinue reading “Disentangling AI Machine Learning and Deep Learning”