Certification ensures laundering processes effectively remove pathogens from health care textiles

Certification ensures laundering processes effectively remove pathogens from health care textiles

Certification ensures laundering processes effectively remove pathogens from health care textiles

Certification ensures laundering processes effectively remove pathogens from health care textiles

In this report, authors present results that they gathered from more than 150 E&C executives who shared their experiences and strategies from the last downturn, how they focused their energy, and what key lessons they learned.

Investors in Clean Energy Fuels Corp. (NASDAQ:CLNE) had a good week, as its shares rose 6.3% to close at US$2.11...

The analysts might have been a bit too bullish on Consolidated Edison, Inc. (NYSE:ED), given that the company fell...

What a gorgeous embroidery! I would love to learn and have begun collecting just a few things. I really need to just do it!

Live Online Interactive Stock Analysis Training Wednesday, April 1st, 2020 at 4pm PDT (7pm EDT)

With many organizations having machine learning models running in production, some are discovering that inefficiencies exists in the first step of the process: feature definition and extraction. Robust feature management is now being realized as a key missing part of the ML stack, and improving it by applying standard software development practices is gaining attention.

Livestream Deep Learning World Munich 2020 from the comfort and safety of your home on 11-12 May 2020.

4 Steps to ensure your AI/Machine Learning system survives COVID-19; State of the Machine Learning and AI Industry; A Key Missing Part of the Machine Learning Stack; 5 Papers on CNNs Every Data Scientist Should Read

If you find yourself quarantined and looking for free learning materials in the way of books and courses to sharpen your data science and machine learning skills, this collection of articles I have previously written curating such things is for you.

This hands-on book bridges the gap between theory and practice, showing you the math of deep learning algorithms side by side with an implementation in PyTorch. You can save 40% off Math and Architectures of Deep Learning until May 13! Just enter the code nlkdarch40 at checkout when you buy from manning.com.

This post will cover how testing is done for the coronavirus, why it's important in battling the pandemic, and how deep learning tools for medical imaging can help us improve the quality of COVID-19 testing.

An introduction to the DBSCAN algorithm and its Implementation in Python.

How can you keep your focus and drive during a global crisis? Take on a 90-day learning challenge for data science and check out this list of books and courses to follow.

Also: Should Data Scientists Model COVID19 and other Biological Events; 5 Papers on CNNs Every Data Scientist Should Read; 24 Best (and Free) Books To Understand Machine Learning; Mathematics for Machine Learning: The Free eBook; Find Your Perfect Fit: A Quick Guide for Job Roles in the Data World

Check out these 10 books that can help data scientists and aspiring data scientists learn machine learning today.

Also: Should Data Scientists Model COVID19 and other Biological Events; Learning during a crisis (Data Science 90-day learning challenge); Data Transformation: Standardization vs Normalization; DBSCAN Clustering Algorithm in Machine Learning; Find Your Perfect Fit: A Quick Guide for Job Roles in the Data World

Also: A Concise Course in Statistical Inference: The Free eBook; ML Ops: Machine Learning as an Engineering Discipline; Learning during a crisis (#DataScience 90-day learning challenge) ; Free High-Quality Machine Learning & Data Science Books & Courses: Quarantine Edition

This article demonstrates how building a smarter API serving Deep Learning models minimizes the response time.

"Deep Learning" is the quintessential book for understanding deep learning theory, and you can still read it freely online.

So, you are interested in machine learning? Here is your complete learning path to start your career in the field.

Train a "blackbox" GBM model on a real dataset and make it explainable with SHAP.

What are Some 'Advanced ' #AI and #MachineLearning Online Courses?; 24 Best (and Free) Books To Understand Machine Learning; Top 5 must-have #DataScience skills for 2020

Check out this comprehensive guide to model optimization techniques.

As can be common in many technical fields, the landscape of specialized roles is evolving quickly. With more people learning at least a little machine learning, this could eventually become a common skill set for every software engineer.

Also: Introducing MIDAS: A New Baseline for Anomaly Detection in Graphs; The Super Duper NLP Repo: 100 Ready-to-Run Colab Notebooks; Five Cool Python Libraries for Data Science.

The hit in mid-March was sudden and dramatic, but there appear to be signs, including from media buyers, that the worst is over.

Please visit Marketing Land for the full article.

David Garvin and Amy Edmonson, Harvard Business School professors and coauthors of the HBR article "Is Yours a Learning Organization?"

Colonel Tom Kolditz, professor and head of the department of Behavioral Sciences and Leadership at the U.S. Military Academy at West Point.

Bill Sahlman, Harvard Business School professor and Senior Associate Dean for External Relations.

Frank Barrett, jazz pianist and author of "Yes to the Mess: Surprising Leadership Lessons from Jazz."

The founder of the Khan Academy talks with HBR senior editor Alison Beard.

Dorothy Leonard, author of "Critical Knowledge Transfer" ​and Harvard Business School professor, on retaining organizational expertise.

Andrew Innes, game designer, product manager, and author of "What Board Games Can Teach Business."

Whitney Johnson, an executive coach, argues that on-the-job learning is the key to keeping people motivated. When managers understand that, and understand where the people they manage are on their individual learning curve — the low end, the sweet spot, or the high end — employees are engaged, productive, and innovative. Johnson is the author of the book “Build an A-Team: Play to Their Strengths and Lead Them Up the Learning Curve.”

Roger Martin, a professor at the University of Toronto’s Rotman School of Management, offers two main reasons General Electric has lost its competitiveness. GE’s stock has been removed from the Dow Jones Industrial Average. Martin blames pressures from activist investors as well as a short-sighted mergers and acquisitions strategy. He’s the author of “GE’s Fall Has Been Accelerated by Two Problems. Most Other Big Companies Face Them, Too.”

Scott Young, who gained fame for teaching himself the four-year MIT computer science curriculum in just 12 months, says that the type of fast, focused learning he employed is possible for all of us -- whether we want to master coding, become fluent in a foreign language, or excel at public speaking. And, in a dynamic, fast-paced business environment that leaves so many of us strapped for time and struggling to keep up, he believes that the ability to quickly develop new knowledge and skills will be a tremendous asset. After researching best practices and experimenting on his own, he has developed a set of principles that any of us can follow to become "ultralearners." Young is the author of the book "Ultralearning: Master Hard Skills, Outsmart the Competition, and Accelerate Your Career."

Stefan Thomke, professor at Harvard Business School, says running experiments can give companies tremendous value, but too often business leaders make decisions based on intuition. While A/B testing on large transaction volumes is common practice at Google, Booking.com, and Netflix, Thomke says even small firms can get a competitive advantage from experiments. He explains how to introduce, run, and learn from them, as well as how to cultivate an experimental mindset at your organization. Thomke is the author of the book "Experimentation Works: The Surprising Power of Business Experiments" and the HBR article "Building a Culture of Experimentation."

NECA is excited to announce the launch of the NECA Educational Advancement Resource Network (EARN), an initiative designed to facilitate relationships and learning between individuals in electrical construction firms and institutions of higher education.

MLB Spring Training is in full swing, and one of the most buzzed about topics down in Florida this year was Bryce Harper signing the biggest MLB contract in history. With a 13-year contract of $330 million, you can only… Read More

The post Spring Training 2019: New Tax Law Swings Away at Top Earning Players appeared first on Anders CPAs.

In this GDC 2020 virtual talk NetEase's Renjie Li discusses the application of reinforcement learning in NetEase games, including problems encountered and how the solutions impacted the final product. ...

Next year, earnings will have the potential to positively surprise the market: Madhu Kela