Build Train and Tune a SOTA Machine Learning model on Amazon EC2, from scratch! - Brand New Workshop скачать в хорошем качестве

Build Train and Tune a SOTA Machine Learning model on Amazon EC2, from scratch! - Brand New Workshop

More tutorials like this in our AWS courses (special promo!): CCP: http://bit.ly/3JrvXk7 | SAA: http://bit.ly/45HC77e 🔔 Hey there CloudWolves! Don’t forget to subscribe for more AWS certification prep content and tutorials!    / @cloudwolfaws     / cloudwolf     / cloudwolfaws   Hey there CloudWolves! Are you ready for our brand new AI in the Cloud workshop? This one will be epic and you will learn so much! In this new lab, we will leverage the power of Amazon EC2 for Machine Learning in a real-world insurance case study. We will build, train and tune a state-of-the-art Machine Learning model on Amazon EC2. Amazon Elastic Compute Cloud (Amazon EC2) provides on-demand, scalable computing capacity in the Amazon Web Services (AWS) Cloud. Using Amazon EC2 reduces hardware costs so you can develop and deploy applications faster. You can use Amazon EC2 to launch as many or as few virtual servers as you need, configure security and networking, and manage storage. You can add capacity (scale up) to handle compute-heavy tasks, such as monthly or yearly processes, or spikes in website traffic. When usage decreases, you can reduce capacity (scale down) again. Prerequisites for this lab: Make sure you have an AWS account set up. Also just as a refresher, I recommend watching the following tutorials in our CloudWolf platform: What is EC2? Virtualization EC2 Instance Types SSH [Hands-On] (Mac & Linux) (for Mac & Linux users) SSH [Hands-On] (Windows 8 or lower) (for Windows 8 or lower users) SSH [Hands-On] (Windows 10 or higher) (for Windows 10 or higher users) Please find the dataset folder for this lab (Live-Lab-15.zip) in our CloudWolf platform. Looking forward to doing our new CloudWolf lab together! Here are the timestamps of the video: 0:00 Welcome! 1:45 Presentation of the code and dataset 14:00 Launching a new EC2 instance in Amazon EC2 23:55 Connecting to your EC2 instance using an SSH client 32:45 Using FileZilla to store the data into your EC2 instance 40:00 Installing the required packages including pandas and scikit-learn 43:30 Running the final code to train the ML model from our EC2 instance 54:45 Final Cleanup Cheers, Hadelin More workshops and courses available here: https://community.cloudwolf.com/check... #aws #ai #machinelearning #education #technology