Remove category
article thumbnail

Data Science Tools: Understanding the Multiverse

Domino Data Lab

In the multiverse of data science, the tool options continue to expand and evolve. While there are certainly engineers and scientists who may be entrenched in one camp or another (the R camp vs. Python, for example, or SAS vs. MATLAB), there has been a growing trend towards dispersion of data science tools.

article thumbnail

Music Genre Classification Project Using Machine Learning Techniques

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Audio classification is an Application of machine learning where different sound is categorized in certain categories. In our previous blog, we have studied Audio classification using ANN and build a model from scratch.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Cloud Data Science News – Beta 8

Data Science 101

An intro to Azure FarmBeats An innovative idea to bring data science to farmers. It is called data-driven agriculture. This blog post acts more like a step-by-step tutorial. It walks through classifying Yahoo Answers into different categories. AWS Deep Learning Containers now support Tensorflow 2.0

article thumbnail

Top BOB Blog Posts of 2018: Data Science, Machine Learning and the Net Promoter Score

Business Over Broadway

The importance of data science and machine learning continues to grow in business and beyond. I did my part this year to spread interest in data science to more people. Below are my top 10 blog posts of 2018: Favorite Data Science Blogs, Podcasts and Newsletters. Click image to enlarge.

article thumbnail

Adopting the 4 Step Data Science Lifecycle for Data Science Projects

Domino Data Lab

Data science is an incredibly complex field. Framing data science projects within the four steps of the data science lifecycle (DSLC) makes it much easier to manage limited resources and control timelines, while ensuring projects meet or exceed the business requirements they were designed for.

article thumbnail

Data Science, Past & Future

Domino Data Lab

Paco Nathan presented, “Data Science, Past & Future” , at Rev. This blog post provides a concise session summary, a video, and a written transcript. data science’s emergence as an interdisciplinary field – from industry, not academia. Session Summary. Key highlights from the session include.

article thumbnail

Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

A business-disruptive ChatGPT implementation definitely fits into this category: focus first on the MVP or MLP. These rules are not necessarily “Rocket Science” (despite the name of this blog site), but they are common business sense for most business-disruptive technology implementations in enterprises.

Strategy 289