Charles Gerth, Author at Science4Data

Automated Machine Learning: The Catalyst for Change

Automated machine learning will fundamentally changing the way machine learning and data science is approached, and this might require additional skills

Sourced through Scoop.it from: www.dqindia.com

Review: Google Cloud AutoML is truly automated machine learning

Google’s AutoML lets you create customized deep learning models without any knowledge of data science or programming

Sourced through Scoop.it from: www.infoworld.com

Council Post: Clear Out The Buzzwords: What Does It Take To Build A Successful Data-Science Team?

In data science, your output can really only be as strong as the mentality of the team members you bring on board, the technology they leverage, and their ability to connect it all to a real-world application.

Sourced through Scoop.it from: www.forbes.com

Council Post: How To Optimize Predictive Analytics And Machine Learning For Your Retail Brand

Tracking sales and inventory trends from the POS data over time and analyzing the period-over-period results is critical to being able to predict consumer needs and stock accordingly.

Sourced through Scoop.it from: www.forbes.com

NLP to break down human communication: How AI platforms are using natural language processing

Many programs such as chatbots and virtual assistants are made possible through the use of natural language processing or NLP

Sourced through Scoop.it from: www.information-age.com

AI vs. machine learning: What’s the difference? | The Enterprisers Project

When you're asked to evaluate the potential of AI or ML to solve your organization's problems, you'd better understand the distinctions between the two.

Sourced through Scoop.it from: enterprisersproject.com

A machine-learning revolution –

From image reconstruction to quantum tomography, scientists are applying machine learning to all areas of physics, as Marric Stephens discovers

Sourced through Scoop.it from: physicsworld.com

Here’s How Google Trains World-Class Managers (Using A Bit of Data Science Helps)

The search giant created a 10-point checklist that all company founders need to see.

Sourced through Scoop.it from: www.entrepreneur.com

Accenture platform aims to unleash AI without the need for deep data expertise

Accenture’s Applied Intelligence platform claims to provide non-data scientists with the tools and access to the data they need to rapidly assemble applications

Sourced through Scoop.it from: www.smartcitiesworld.net

NVIDIA BrandVoice: How To Build A Data Science Dream Team

Strong collaboration between data scientists and subject-matter experts (SMEs) on data is essential for building an infrastructure of capturing data for rapid, accurate decisions. It’s important to understand the role of a data scientist in order to build your data science “dream team.”

Sourced through Scoop.it from: www.forbes.com

Swift Studio for Complex Workflows