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Machine Learning Mathematics: Regression Basics

2024-01-28T03:02:56+00:00

In recent years, of the ever-evolving landscape of technology, a few of the most prominent buzzwords that continue to capture the imagination of innovators and entrepreneurs alike are Machine Learning (ML) and Artificial Intelligence (AI). With the boom of OpenAI’s ChatGPT last November 2023, as well as the many that followed suit, including major tech companies like Meta with their LLaMa model and Google’s PaLM and newly announced Gemini, ML and AI will most likely be the spotlight for the months, years, and possibly, decades to come.  In a previous article, The AI Revolution: An Overview of Generative AI and [...]

Machine Learning Mathematics: Regression Basics2024-01-28T03:02:56+00:00

Securing Your Repositories with AWS CodeGuru: How Machine Learning Can Improve Your Code Quality and Security

2023-06-12T14:35:26+00:00

Ensuring code quality and security is of utmost importance in the ever-evolving field of software development. However, traditional code review practices can be time-consuming and prone to errors, often resulting in overlooked vulnerabilities. Fortunately, the combination of machine learning (ML) and cloud computing has given rise to innovative solutions like AWS CodeGuru, empowering developers to significantly improve code quality and security. This article explores the capabilities of AWS CodeGuru and how it utilizes ML to safeguard your repositories and enhance your development process.   Understanding AWS CodeGuru AWS CodeGuru is a cloud-based service that employs ML algorithms to analyze code [...]

Securing Your Repositories with AWS CodeGuru: How Machine Learning Can Improve Your Code Quality and Security2023-06-12T14:35:26+00:00

AWS re:Invent 2022 Announcements for AWS Machine Learning Engineers and Data Scientists

2023-04-27T03:58:46+00:00

Every year, professionals all around the world attend the most transformative tech event —  AWS re:Invent. Here, a LOT of new AWS services and capabilities are announced and discussed. In this post, we will focus on the major announcements relevant to data scientists and ML engineers! A Gentle Introduction to Amazon SageMaker The major announcements discussed in this post focus on SageMaker, so we will spend a paragraph or two quickly talking about the service.  Amazon SageMaker is the machine learning platform of AWS that helps solve a variety of requirements of data scientists, developers, and machine learning practitioners in [...]

AWS re:Invent 2022 Announcements for AWS Machine Learning Engineers and Data Scientists2023-04-27T03:58:46+00:00

Getting Started with SageMaker Ground Truth Private Workforce

2023-07-08T07:25:35+00:00

Before we begin, let’s quickly talk about what Amazon SageMaker is and what it is used for. If this is your first time learning about Amazon SageMaker, it is the machine learning platform of AWS that helps solve the different requirements of data scientists, developers, and machine learning practitioners.  It has several features and capabilities that assist in the different stages of the machine learning process. In this tutorial, we will focus on SageMaker Ground Truth and how it helps data science teams get access to clean labeled datasets.  When performing machine learning experiments, getting access to labeled datasets is [...]

Getting Started with SageMaker Ground Truth Private Workforce2023-07-08T07:25:35+00:00

Scalable Data Processing and Transformation using SageMaker Processing (Part 2 of 2)

2023-04-28T02:18:41+00:00

In this 2-part tutorial, we will focus on SageMaker Processing and how we can use it to solve our data processing needs. Our overall goal is to demonstrate how to use SageMaker Processing to help us perform Min-Max scaling on a dataset in its own dedicated and easily scalable environment.  If you are looking for Part 1, you can find it here. As mentioned in Part I, we have divided this tutorial into 4 sections: [1] Synthetic Data Generation (found in PART I) [2] Using MinMaxScaler without the managed infrastructure support of SageMaker Processing (found in PART I) [3] Using [...]

Scalable Data Processing and Transformation using SageMaker Processing (Part 2 of 2)2023-04-28T02:18:41+00:00

Scalable Data Processing and Transformation using SageMaker Processing (Part 1 of 2)

2023-08-14T02:56:21+00:00

Amazon SageMaker is the machine learning platform of AWS which helps solve the different requirements of data scientists and machine learning practitioners. It has several features and capabilities that assist in the different stages of the machine learning process. Here is a simplified list of the capabilities of SageMaker mapped to some of the stages of the ML lifecycle. SageMaker Processing Data Preparation and Processing  SageMaker Training Model Training SageMaker Automatic Hyperparameter Tuning Model Training SageMaker Debugger Model Training SageMaker Hosting Services Deployment and Monitoring SageMaker Model Monitor Deployment and Monitoring   There’s definitely more into this list which we [...]

Scalable Data Processing and Transformation using SageMaker Processing (Part 1 of 2)2023-08-14T02:56:21+00:00

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