Ron  Cartwright

Ron Cartwright

1597413600

Alex Wheldon — VC Writer Nom — is Practicing Bravery, Learning Serbian

1. Which 2020 Noonie have you been nominated for?

Hacker Noon Contributor of the Year - VENTURE CAPITAL

2. Tell us a bit about yourself

I’m a Canadian 3x entrepreneur, investor, and product leader. I try to help businesses, teams, and entrepreneurs reach their full potential.

3. Tell us about the things you make / write / manage / build

I make software and services that help people and some people are kind enough to appreciate my cooking / I write advice on how to lead and develop organizations. I like building everything!

4. What are you most excited about right now?

Speed of human adaption - it’s inspiring and reassuring.

5. What are you worried about right now?

The macro economic effects of COVID-19.

6. What’s the most useful advice you’ve ever given somebody?

Bravery is doing the things that you’re scared to do - be brave everyday.

7. How has the pandemic changed your life and/or career?

Apart from being personally affected twice, it has certainly reinforced my outlook that I should be chasing some of the world’s most difficult problems and continuing to try and help solve them.

8. If we gave you $10 million to invest in one thing right now, where would you put it?

COVID Vaccine Research

9. What’s an opinion you have that most people don’t agree with?

Hypernormalisation is the most important sociological concept of current times.

10. Which apps can’t you live without?

Slite, Slack, Linear, Podz

#noonies #tech-awards #hackernoon-award #interview #venture-capital #hackernoon #buidl

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Alex Wheldon — VC Writer Nom — is Practicing Bravery, Learning Serbian
Ron  Cartwright

Ron Cartwright

1597413600

Alex Wheldon — VC Writer Nom — is Practicing Bravery, Learning Serbian

1. Which 2020 Noonie have you been nominated for?

Hacker Noon Contributor of the Year - VENTURE CAPITAL

2. Tell us a bit about yourself

I’m a Canadian 3x entrepreneur, investor, and product leader. I try to help businesses, teams, and entrepreneurs reach their full potential.

3. Tell us about the things you make / write / manage / build

I make software and services that help people and some people are kind enough to appreciate my cooking / I write advice on how to lead and develop organizations. I like building everything!

4. What are you most excited about right now?

Speed of human adaption - it’s inspiring and reassuring.

5. What are you worried about right now?

The macro economic effects of COVID-19.

6. What’s the most useful advice you’ve ever given somebody?

Bravery is doing the things that you’re scared to do - be brave everyday.

7. How has the pandemic changed your life and/or career?

Apart from being personally affected twice, it has certainly reinforced my outlook that I should be chasing some of the world’s most difficult problems and continuing to try and help solve them.

8. If we gave you $10 million to invest in one thing right now, where would you put it?

COVID Vaccine Research

9. What’s an opinion you have that most people don’t agree with?

Hypernormalisation is the most important sociological concept of current times.

10. Which apps can’t you live without?

Slite, Slack, Linear, Podz

#noonies #tech-awards #hackernoon-award #interview #venture-capital #hackernoon #buidl

Jerad  Bailey

Jerad Bailey

1598891580

Google Reveals "What is being Transferred” in Transfer Learning

Recently, researchers from Google proposed the solution of a very fundamental question in the machine learning community — What is being transferred in Transfer Learning? They explained various tools and analyses to address the fundamental question.

The ability to transfer the domain knowledge of one machine in which it is trained on to another where the data is usually scarce is one of the desired capabilities for machines. Researchers around the globe have been using transfer learning in various deep learning applications, including object detection, image classification, medical imaging tasks, among others.

#developers corner #learn transfer learning #machine learning #transfer learning #transfer learning methods #transfer learning resources

sophia tondon

sophia tondon

1620898103

5 Latest Technology Trends of Machine Learning for 2021

Check out the 5 latest technologies of machine learning trends to boost business growth in 2021 by considering the best version of digital development tools. It is the right time to accelerate user experience by bringing advancement in their lifestyle.

#machinelearningapps #machinelearningdevelopers #machinelearningexpert #machinelearningexperts #expertmachinelearningservices #topmachinelearningcompanies #machinelearningdevelopmentcompany

Visit Blog- https://www.xplace.com/article/8743

#machine learning companies #top machine learning companies #machine learning development company #expert machine learning services #machine learning experts #machine learning expert

Jackson  Crist

Jackson Crist

1617331066

Intro to Reinforcement Learning: Temporal Difference Learning, SARSA Vs. Q-learning

Reinforcement learning (RL) is surely a rising field, with the huge influence from the performance of AlphaZero (the best chess engine as of now). RL is a subfield of machine learning that teaches agents to perform in an environment to maximize rewards overtime.

Among RL’s model-free methods is temporal difference (TD) learning, with SARSA and Q-learning (QL) being two of the most used algorithms. I chose to explore SARSA and QL to highlight a subtle difference between on-policy learning and off-learning, which we will discuss later in the post.

This post assumes you have basic knowledge of the agent, environment, action, and rewards within RL’s scope. A brief introduction can be found here.

The outline of this post include:

  • Temporal difference learning (TD learning)
  • Parameters
  • QL & SARSA
  • Comparison
  • Implementation
  • Conclusion

We will compare these two algorithms via the CartPole game implementation. This post’s code can be found here :QL code ,SARSA code , and the fully functioning code . (the fully-functioning code has both algorithms implemented and trained on cart pole game)

The TD learning will be a bit mathematical, but feel free to skim through and jump directly to QL and SARSA.

#reinforcement-learning #artificial-intelligence #machine-learning #deep-learning #learning

E-learning Software Services - SISGAIN

SISGAIN is one of the top e-Learning software companies in New York, USA. Develop Education Technology based, mobile application for e-learning from SISGAIN. We Develop User Friendly Education App and Provide e-learning web portals development Service. Get Free Quote, Instant Support & End to End Solution. SISGAIN has been developing educational software and provides e-learning application development services for US & UK clients. For more information call us at +18444455767 or email us at hello@sisgain.com

#learning development companies #development of software for e-learning #top e-learning software companies #e-learning web portals #mobile applications for e-learning #e-learning product development