If you want to make a career in freelancing, you need to listen to this. Today I am going to talk about one of the most underrated skills when it comes to freelancers and why you should master this skill as soon as possible.
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
As unorthodox as it may sound I have had experience freelancing as a rapper for different individuals, brands, app developers, websites, Youtubers and more on Fiverr.com and other means through networking for the past six years.
In that time I have found a plethora of successes and the same amount of failures which have made me better at my craft and at navigating the tumultuous yet rewarding waters of the gig economy. Today I will share what I’ve learned after hundreds of completed orders and what a freelancer with any skill can expect when selling their services online.
Starting out I got some very odd requests. If I was carrying the attitude of your typical rapper in the music industry I would have said no to most of the requests I received. But because I was an artist who was young, hungry and eager to make money, I developed awareness of niches I didn’t even know existed. How many rappers do you know that do business advertisements, songs for new and upcoming websites and apps, theatre plays, kids educational programs and even crazier things I can’t recall off the top of my head.
I have some of these projects stored away in my mental file cabinet under “NEVER MENTION OR THINK ABOUT AGAIN!” Yet, on the other side of that coin, there’s this slight fondness of these same order requests as they forced me to step outside of my comfort zone, try new styles of creativity and ultimately grow.
#rap #freelancing #lessons-learned #freelance #gig-economy #machine-learning
Freelancer and Upwork are some popular websites that connect recruiters and people who are looking for work are Freelancer and Upwork and through these platforms, these people get a place to interact and meet.
For self-employed users, Freelancer and Upwork rank in the top 15 sites as there is a need for sites that allow interactions between job seekers and employers, and you can create the supply for that demand.Given the extreme uprise of the gig economy, many businessmen and entrepreneurs started to invest their resources into starting a freelance marketplace like the above-mentioned platforms.If you want to create a similar website, you might be intimidated by the amount of work that awaits you. Such sites can take months to build from the ground up. And if you don't have the right tools, you'll have to hire someone who is experienced in the field.
How to make a freelancer platform in the easiest way possible?
This essential guide will not only walk you through the process of creating a website, but will also show you how to do it without using any code. You will be able to make your dream best freelancing site a reality with a few simple steps-
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.
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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:
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