DSC Weekly Digest 26 October 2021
When the Power Goes Out Seattle has a reputation for being rainy, though it’s actually drier than many other places that don’t have that reputation.… Read More »DSC Weekly Digest 26 October 2021
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The Disappearing Data Scientist
1. THE DISAPPEARING DATA SCIENTIST BY KURT CAGLE MANAGING EDITOR DATA SCIENCE CENTRAL 2. THESIS: THE DATA SCIENTIST IS GOING AWAY. INSTEAD, DATA LITERACY IS BECOMING… Read More »The Disappearing Data Scientist
The Product Management Process: 7 Important Stages for Startup
Every business once was a startup company. For every startup business, it is important to create a road map for the success of their product… Read More »The Product Management Process: 7 Important Stages for Startup
How FinTech App Development Benefits Your Business?
According to eMarketer.com analysis, by 2022, around 78% of the United States (US) millennial population will have digital banking users. China, India, the US, Japan,… Read More »How FinTech App Development Benefits Your Business?
How Is Machine Learning Used For Stock Market Prediction?
Machine Learning is an Artificial Intelligence (AI) application that allows devices to learn from their experiences and better themselves without the need for coding. For… Read More »How Is Machine Learning Used For Stock Market Prediction?
Top Trends in Fleet Management 2022
Fleet management is a thriving industry around the world with massive potential in-store. Its contribution to the global economy is considerable, with estimates to increase… Read More »Top Trends in Fleet Management 2022
Top 7 Challenges in Scaling Agile
Scaling agile is the process of taking proven agile methods, like scrum and kanban, and using them with a more extensive diverse set of people… Read More »Top 7 Challenges in Scaling Agile
Continuous data quality monitoring using AI and ML
In today’s world, we are doing more of the traditional data management practices. The process of connecting people, processes, and technologies by creating governance foundations,… Read More »Continuous data quality monitoring using AI and ML
Tackling the Dimensionality Reduction Problem for Embedded Systems
New study successfully tackles the problem of dimensionality reduction in embedded systems. The reduced model can be implemented without loss of accuracy. Combining POD… Read More »Tackling the Dimensionality Reduction Problem for Embedded Systems
A minimum viable learning framework for self-learning AI (machine learning and deep learning)
AI is a complex subject and hard to learn Often, in the early stages, people make mistake such as a) They try to learn everything… Read More »A minimum viable learning framework for self-learning AI (machine learning and deep learning)