Category: Deep Learning

The Evergreen Database: 5 Reasons SQL Server is the Ultimate Powerhouse for Business Intelligence and Data Science

Unveiling the untapped potential of SQL Server: Explore how it revolutionizes business intelligence and fuels data science success. In the fast-paced world of technology, tools, and technologies tend to evolve rapidly. What’s hot today may become outdated tomorrow. However, amidst this whirlwind of change, one tool has withstood the test of time and continues to …

 

Unlocking the Power of Data: Understanding ETL and its Importance to Modern Businesses

Discover the secret behind modern business success: unraveling the hidden potential of ETL and its data-driven transformations. In today’s digital age, data is the asset that can make or break a business. With advancements in technology, companies have access to immense amounts of data from various sources such as customer interactions, social media, sales records, …

 

The Irresistible Allure of Data Science: 5 Reasons Its Still the Sexiest Job of the 21st Century

In today’s digital age, data science has emerged as one of the most captivating and sought-after professions. With businesses and organizations relying heavily on data-driven decision-making, the demand for skilled data scientists continues to soar. In this curated blog post, we will explore five undeniably compelling reasons why data science remains the sexiest job of …

 

Toy Neural Network Classifies Orientation of Line

Visit Refactored to play with the interactive network. Artificial neural networks are abstractly inspired by the basic computational units of the brain, neurons. State-of-the-art solutions to AI problems including image recognition, natural language processing, simulating human creativity in the arts, and outperforming humans in complex board games are backed by artificial neural networks. Instead of …

 

Building An Efficient Pip​eline-AI Summit 2017, St. Louis

At the stamped con, AI Summit in St. Louis, Colaberry Consulting presented how to take a complex idea in the AI domain, apply ML algorithms to it, and deploy it in production using the refactored.ai platform. More details are available including code examples on the platform. This, as we see, is a common area of …