Towards AI

MARCH 14, 2024

Last Updated on March 14, 2024 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. We would love to hear some tips on how to get there; share them in the Discord thread! We would love to hear some tips on how to get there; share them in the Discord thread! Enjoy the read!

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Heartbeat

FEBRUARY 1, 2023

Machine learning has become an essential part of our lives because we interact with various applications of ML models, whether consciously or unconsciously. Machine Learning Operations (MLOps) are the aspects of ML that deal with the creation and advancement of these models. As we can see, everyone has an important role to play.

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AWS Machine Learning Blog

NOVEMBER 16, 2023

This is a joint blog with AWS and Philips. Amazon SageMaker provides purpose-built tools for machine learning operations (MLOps) to help automate and standardize processes across the ML lifecycle. In this post, we describe how Philips partnered with AWS to develop AI ToolSuite—a scalable, secure, and compliant ML platform on SageMaker.

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Pickl AI

JANUARY 23, 2024

Job roles span from Data Analyst to Chief Data Officer, each contributing significantly to organisational success. Leadership roles, entrepreneurship avenues, and global opportunities further enhance the scope. ’ Business Analytics is the systematic data exploration that is transforming how companies operate.

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Heartbeat

FEBRUARY 28, 2024

It’s how we discover and refine models that power everything from recommendation systems to self-driving cars. However, running experiments, tracking their progress, and sharing results can be challenging, especially in interdisciplinary teams. Experimentation is the lifeblood of machine learning.

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Towards AI

JUNE 5, 2023

Last Updated on June 14, 2023 by Editorial Team Author(s): Anirudh Mehta Originally published on Towards AI. There are hundreds of blogs written on the same topic. There are hundreds of blogs written on the same topic. While ML algorithms & code play a crucial role in success, it’s just a small piece of the large puzzle.

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Heartbeat

FEBRUARY 29, 2024

Over the years, we’ve witnessed significant milestones in programming languages, each bringing about transformative changes in how we write code and build software systems. We’ll explore how LLMs reshape how we write code, their potential for increasing developer productivity, and what lies beyond LLMs in the ever-evolving programming world.

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AWS Machine Learning Blog

SEPTEMBER 28, 2023

With the right strategy, these intelligent solutions can transform how knowledge is captured, organized, and used across an organization. To help tackle this challenge, Accenture collaborated with AWS to build an innovative generative AI solution called Knowledge Assist.

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AWS Machine Learning Blog

DECEMBER 13, 2023

Machine learning (ML) models do not operate in isolation. To deliver value, they must integrate into existing production systems and infrastructure, which necessitates considering the entire ML lifecycle during design and development. Building a robust MLOps pipeline demands cross-functional collaboration.

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ML @ CMU

MARCH 31, 2023

This blog post discusses the effectiveness of black-box model explanations in aiding end users to make decisions. Our work further motivates novel directions for developing and evaluating tools to support human-ML interactions. How do you rigorously evaluate explanation methods?

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AWS Machine Learning Blog

SEPTEMBER 1, 2023

Nowadays, the majority of our customers is excited about large language models (LLMs) and thinking how generative AI could transform their business. In this post, we discuss how to operationalize generative AI applications using MLOps principles leading to foundation model operations (FMOps).

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The MLOps Blog

MARCH 20, 2023

Long-term ML project involves developing and sustaining applications or systems that leverage machine learning models, algorithms, and techniques. An example of a long-term ML project will be a bank fraud detection system powered by ML models and algorithms for pattern recognition. 2 Ensuring and maintaining high-quality data.

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Defined.ai blog

AUGUST 10, 2023

Welcome to the world of financial data, where every digit has a story to tell, and Artificial Intelligence (AI) assumes the role of a compelling storyteller. This post will guide you through what financial data is, how AI is transforming how we understand and use this data, and why this revolution matters to your business.

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Defined.ai blog

AUGUST 30, 2023

Through the relentless evolution of Natural Language Processing (NLP) in machine learning, the barriers between human and machine communication are not just blurring—they’re being dismantled, ushering in a new era of collaboration and understanding. Stay with us for revelations that might revolutionize how you see AI.

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ODSC - Open Data Science

DECEMBER 28, 2023

Organizational Processes for Machine Learning Risk Management Organizational processes are a key nontechnical determinant of reliability in ML systems. Organizational Processes for Machine Learning Risk Management Organizational processes are a key nontechnical determinant of reliability in ML systems. We now have a podcast!

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AWS Machine Learning Blog

SEPTEMBER 20, 2023

In these scenarios, as you start to embrace generative AI, large language models (LLMs) and machine learning (ML) technologies as a core part of your business, you may be looking for options to take advantage of AWS AI and ML capabilities outside of AWS in a multicloud environment.

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Towards AI

OCTOBER 8, 2023

Last Updated on October 9, 2023 by Editorial Team Author(s): Abhishek Chaudhary Originally published on Towards AI. This is exactly what this blog post is intended for. We’ll take a walk along the fantastic landscape of large language models and in the process, discuss some of the core concepts and how/why they work.

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Google Research AI blog

FEBRUARY 14, 2023

An undercurrent this past year has been the exploration of how large, generalist models, like PaLM , can work alongside other approaches to surface capabilities allowing robots to learn from a breadth of human knowledge and allowing people to engage with robots more naturally. You can find other posts in the series here.)

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PyImageSearch

DECEMBER 11, 2023

Kicking Off with a Keynote The second day of the Google Machine Learning Community Summit began with an inspiring keynote session by Soonson Kwon, the ML Community Lead at Google. The focus of his presentation was clear and forward-thinking: Accelerate AI/ML research and application.

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AWS Machine Learning Blog

FEBRUARY 20, 2024

In this post, we discuss deploying scalable machine learning (ML) models for diarizing media content using Amazon SageMaker , with a focus on the WhisperX model. ZOO Digital provides end-to-end localization and media services to adapt original TV and movie content to different languages, regions, and cultures.

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Heartbeat

SEPTEMBER 13, 2023

However, they are often considered " black boxes " because it can be challenging to comprehend how their internal workings generate specific predictions. However, they are often considered " black boxes " because it can be challenging to comprehend how their internal workings generate specific predictions.

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ML @ CMU

MARCH 30, 2023

This blog post discusses the effectiveness of black-box model explanations in aiding end users to make decisions. Our work further motivates novel directions for developing and evaluating tools to support human-ML interactions. How do you rigorously evaluate explanation methods?

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Google Research AI blog

NOVEMBER 17, 2022

However, knowledge about datasets, including use and implementations, is often distributed across teams, individuals, and even time. Today, we introduce the Data Cards Playbook , a self-guided toolkit for a variety of teams to navigate transparency challenges with their ML datasets.

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AWS Machine Learning Blog

JUNE 22, 2023

Light & Wonder teamed up with the Amazon ML Solutions Lab to use events data streamed from LnW Connect to enable machine learning (ML)-powered predictive maintenance for slot machines. Predictive maintenance is a common ML use case for businesses with physical equipment or machinery assets.

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Heartbeat

OCTOBER 25, 2023

This comprehensive article explores the pivotal role of bioinformatics in advancing biological research, focusing on its real-life applications, remarkable achievements, and the machine learning tools that have propelled the field forward. In proteomics, bioinformatics tools have been instrumental in deciphering the complex world of proteins.

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Heartbeat

JULY 11, 2023

Photo by Oleg Laptev on Unsplash By improving many areas of content generation, optimization, and analysis, natural language processing (NLP) plays a crucial role in content marketing. Artificial intelligence (AI) has a subject called natural language processing (NLP) that focuses on how computers and human language interact.

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The MLOps Blog

NOVEMBER 30, 2022

Data science teams currently struggle with managing multiple experiments and models and need an efficient way to store, retrieve, and utilize details like model versions, hyperparameters, and performance metrics. ML model versioning: where are we at? across industries and domains.

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Heartbeat

SEPTEMBER 7, 2023

Imagine a self-driving car navigating the streets; you’d want to know how and why it’s making the choices it does. Understanding how a model arrived at a diagnosis isn’t just a matter of trust; it’s about the patient’s well-being. Why Does It Matter? As we journey deeper into the era of AI , the stakes are higher than ever.

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The MLOps Blog

MARCH 15, 2023

This includes the tools and techniques we used to streamline the ML model development and deployment processes, as well as the measures taken to monitor and maintain models in a production environment. Costs: Oftentimes, cost is the most important aspect of any ML model deployment.

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Heartbeat

SEPTEMBER 25, 2023

Machine learning algorithms have transformed how healthcare professionals approach diagnosis, treatment planning, and patient care with the ability to analyze large amounts of data and recognize patterns. Photo by National Cancer Institute on Unsplash Machine learning has recently been a game-changer in healthcare and medical diagnosis.

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Allen AI

JUNE 1, 2023

What put you on the path to your current role? This provided me with the necessary spark to pursue a PhD in ML/AI at Georgia Tech. Ashwin Kalyan is a Research Scientist with Aristo at AI2 Ashwin Kalyan is a Research Scientist with Aristo at AI2. I believe that this experience influenced me to take up a research career.

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John Snow Labs

APRIL 22, 2024

John Snow Labs’ GitHub repository serves as a collaborative platform where users can access open-source resources, including code samples, tutorials, and projects, to further enhance their understanding and utilization of Spark NLP and related tools.

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Heartbeat

OCTOBER 9, 2023

This piece will examine how computer vision has been employed to protect and restore cultural heritage artifacts. These ground-breaking areas redefine how we connect with and learn from our collective past. However, many cultural relics are fragile, susceptible to degradation, or threatened by destruction.

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Heartbeat

AUGUST 23, 2023

But exactly what is NLP , and how can it facilitate legal discovery? Decoding the Language Puzzle: NLP’s Role in Legal Discovery In the intricate realm of legal discovery, where mountains of documents hold the keys to complex cases, time is a precious commodity. Enter Natural Language Processing (NLP) and its transformational power.

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The MLOps Blog

MARCH 15, 2023

A typical data pipeline involves the following steps or processes through which the data passes before being consumed by a downstream process, such as an ML model training process. If a typical ML project involves standard pre-processing steps – why not make it reusable?

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Heartbeat

DECEMBER 8, 2023

Want to learn how to build modern software with LLMs using the newest tools and techniques in the field? A Guide to Enhancing AI with Strategic Decision-Making and Tool Integration Photo by julien Tromeur on Unsplash Agents in LangChain Agents in LangChain are systems that use a language model to interact with other tools.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

Amazon SageMaker Studio offers a comprehensive set of capabilities for machine learning (ML) practitioners and data scientists. These include a fully managed AI development environment with an integrated development environment (IDE), simplifying the end-to-end ML workflow.

Data Scientist 101

Data Scientist DevOps AI AI 101