Source:(AI & Data Science in Trading) 2020 Hyper-accurate long-term weather forecasting. Life-saving drugs discovered through deep study of the behavior of complex molecules. New synthetic carbon-capturing materials to help reverse climate change caused by fossil fuels. Stable, long-lasting batteries to power electric vehicles and store green energy for the utility grid. It may read like […]
Guide: Data Science Degree Fundamentals and Affordable Online Colleges List
The students studying computer science and data understand that they have a lot of options to consider when it comes to choosing a career. While they may have plenty of resources to refer to when studying in their courses, quality materials that stay current with degree developments and costs are typically in less supply, though […]
Insurance Disruption: How Blockchain is Transforming the Industry
NOVEMBER 2019 | INSURANCE | By JENNA TROPEA
For years, the traditional insurance business model has proven to be a surprisingly resilient one. However, traditional insurance is beginning to feel the digital effect as emerging technologies change the way consumers interact with businesses and how products and services are delivered. There’s a general perception that the global insurance industry lags behind other financial service sectors, leaving much to be desired in terms of cost-savings and efficiency. There are also major issues concerning fraud, human error, and cyber-attacks. Read more…
Data Analytics: The Present Trend
What is Data Analytics? In the simplest of terms, Data Analytics generally deals with a sequence of algorithms that gets insights/connections within a given data set. Wait! That wasn’t simple. Let me give you an example. Well, for instance, have you ever marked the connection between the weather outside and the mode of transport that […]
Why Java Programming Is Still So Popular
There are many programming languages out there, but Java beats them all in terms of popularity. There definitely must be a reason why it has gained so much popularity in the recent past, without mentioning how well it has shaken off competition for almost two and a half decades now. So, the million-dollar question remains: WHY?
Why is Data Analytics Important in Healthcare?
[Guest Blog Post] Hospitals, private practices, and other medical institutions have a lot of data to deal with. Various patient information, schedules, appointments, and other data sets provide the potential for more efficiency and consistent healthcare. Through data analytics, we provide better patient care and better resource utilization. Read More….
“What Is Quantum Computing?” | by CBInsights
Source: CBinsights Quantum computing is poised to upend entire industries from telecommunications and cybersecurity to advanced manufacturing, finance, medicine, and beyond — but few understand how quantum computers actually work. In the near future, quantum computing could change the world. Take climate change for example: Because of the complexity of the climate system, seemingly endless […]
Which Is the Best Framework for Machine Learning?
Author: Edward Huskin Implementing a neural network from scratch is a deeply valuable exercise, especially for someone just picking up on the fundamentals of machine learning. Once all the concepts have sunk in, writing a library that does something as common as image classification, and OCR is basically attempting to reinvent the wheel. Rather than […]
Video: Interview / Advice for “Aspiring” Data Scientists – Landing That First Job
In this interview with Data Scientist Mark Meloon, we turn the tables and I provide advice to “aspiring” Data Scientists on how to land that first job. It’s broker down into 10 Parts (by question.). Enjoy!
“Machine Learning Model Selection Using Cross-Validation” | Guest Post – Savaram Ravindra
Author: Savaram Ravindra Introduction The machine learning systems have been around since the 50s, but there are three major factors at play. They are improved algorithms, more powerful computer hardware, and the enormous increase of data. This is the reason why machine learning has gained a lot of significance than it had in the 50s. […]