Category Archives: Data Science News

Data Annotation — Outsourcing v/s In-house — ROI and Benefits | Analytics Insight Data Annotation — Outsourcing v/s In-house — ROI and Benefits A 2018 report revealed that we generated close to 2.5 quintillion bytes of data every single day. Contrary to popular belief, not all the data we generate can be processed for insights. For data that can be used for training machineContinue reading “Data AnnotationOutsourcing v/s In-houseROI and Benefits | Analytics Insight”

With so many organizations now taking the leap into building production-level machine learning models, many lessons learned are coming to light about the supporting infrastructure. For a variety of important types of use cases, maintaining a centralized feature store is essential for higher ROI and faster delivery to market. In this review, the current featureContinue reading “Feature Store as a Foundation for Machine Learning”

This blog post provides an overview of the package “msda” useful for time-series sensor data analysis. A quick introduction about time-series data is also provided. Originally from KDnuggets https://ift.tt/3azKAhn source https://365datascience.weebly.com/the-best-data-science-blog-2020/multidimensional-multi-sensor-time-series-data-analysis-framework

This freely-available book is a fantastic walkthrough of practical approaches to machine learning problems. Originally from KDnuggets https://ift.tt/3axZ2Xg source https://365datascience.weebly.com/the-best-data-science-blog-2020/approaching-almost-any-machine-learning-problem

The Keys to Unlocking Healthcare AI’s Vast Potential in 2021 — Healthcare Business Today Healthcare is often thought of as an industry on the cutting edge of technological innovation. That’s true in many ways, but the healthcare space is also highly regulated by sweeping legislation such as GDPR and HIPAA, along with many more local guidelines and restrictions.Continue reading “The Keys to Unlocking Healthcare AIs Vast Potential in 2021Healthcare Business Today”

Which Transformer Should I Go With: GTP-2 or GPT-3? The Generative Pre-Trained Transformer (GPT) is an innovation in the Natural Language Processing (NLP) space developed by OpenAI. These models are known to be the most advanced of its kind and can even be dangerous in the wrong hands. It is an unsupervised generative model which meansContinue reading “GPT-2 (GPT2) vs GPT-3 (GPT3): The OpenAI Showdown”

1. What is sigmoid function sigmoid function If you have worked on Logistic regression or Neural network problem you must have heard about Sigmoid function. It takes the input values between -∞ to ∞ and map them to values between 0 to 1. It is very handy when we are predicting the probability. For example, whereContinue reading “What is Derivative of Sigmoid Function”

Anyone looking to obtain a data science certificate to prove their ability in the field will find a range of options exist. We review several valuable certificates to consider that will definitely pump up your resume and portfolio to get you closer to your dream job. Originally from KDnuggets https://ift.tt/3puDYVJ source https://365datascience.weebly.com/the-best-data-science-blog-2020/6-data-science-certificates-to-level-up-your-career

New products forecasting can be very difficult – there is no history to start with, and hence no base line. The number of assumptions can be huge. The best way to forecast then, is to try parallel approaches, build different views and triangulate on a common range. Originally from KDnuggets https://ift.tt/3avC6b0 source https://365datascience.weebly.com/the-best-data-science-blog-2020/forecasting-stories-5-the-story-of-the-launch

Mike McCarty and Gil Forsyth work at the Capital One Center for Machine Learning, where they are building internal PyData libraries that scale with Dask and RAPIDS. For this webinar, Feb 23 @ 2 pm PST, 5pm EST, they’ll join Hugo Bowne-Anderson and Matthew Rocklin to discuss their journey to scale data science and machineContinue reading “Distributed and Scalable Machine Learning [Webinar]”