Data Science Dojo

APRIL 3, 2023

Drag and drop tools have revolutionized the way we approach machine learning (ML) workflows. Gone are the days of manually coding every step of the process – now, with drag-and-drop interfaces, streamlining your ML pipeline has become more accessible and efficient than ever before. H2O.ai H2O.ai

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Data Science Dojo

FEBRUARY 7, 2024

It makes machine learning (ML) a critical component of data science where algorithms are statistically trained on data. An ML model learns iteratively to make accurate predictions and take actions. Technological advancement has resulted in highly sophisticated algorithms that require enhanced strategies for training models.

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Machine Learning Machine Learning ML ML 243

AWS Machine Learning Blog

MAY 9, 2024

The rapid advancements in artificial intelligence and machine learning (AI/ML) have made these technologies a transformative force across industries. An effective approach that addresses a wide range of observed issues is the establishment of an AI/ML center of excellence (CoE). What is an AI/ML CoE?

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Towards AI

NOVEMBER 16, 2024

Keswani’s Algorithm introduces a novel approach to solving two-player non-convex min-max optimization problems, particularly in differentiable sequential games where the sequence of player actions is crucial. Keswani’s Algorithm: The algorithm essentially makes response function : maxy∈{R^m} f (.,

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Algorithm ML ML AI 105

IBM Data Science in Practice

JANUARY 9, 2024

Many businesses are in different stages of their MAS AI/ML modernization journey. In this blog, we delve into 4 different “on-ramps” we created in a MAS Accelerator to offer a straightforward path to harnessing the power of AI in MAS, wherever you may be on your MAS AI/ML modernization journey.

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Data Science Dojo

SEPTEMBER 8, 2023

AI provides engineers with a powerful toolset to make more informed decisions and enhance their interactions with the digital world. It replaces complex algorithms with neural networks, streamlining and accelerating the predictive process. Techniques Uses statistical models, machine learning algorithms, and data mining.

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Data Science Dojo

JULY 5, 2023

Machine Learning (ML) is a powerful tool that can be used to solve a wide variety of problems. Getting your ML model ready for action: This stage involves building and training a machine learning model using efficient machine learning algorithms. This information can be used to inform the design of the model.

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AWS Machine Learning Blog

FEBRUARY 12, 2024

The Ranking team at Booking.com plays a pivotal role in ensuring that the search and recommendation algorithms are optimized to deliver the best results for their users. Essential ML capabilities such as hyperparameter tuning and model explainability were lacking on premises.

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Data Science Dojo

SEPTEMBER 23, 2024

This powerful yet simple concept helps data scientists and machine learning practitioners assess the accuracy of classification algorithms , providing insights into how well a model is performing in predicting various classes. One of the most fundamental tools for this purpose is the confusion matrix.

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Data Science Dojo

SEPTEMBER 25, 2024

By leveraging AI-powered algorithms, media producers can improve production processes and enhance creativity. Some key benefits of integrating the production process with AI are as follows: Personalization AI algorithms can analyze user data to offer personalized recommendations for movies, TV shows, and music.

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Dataconomy

MAY 16, 2023

Their expertise lies in designing algorithms, optimizing models, and integrating them into real-world applications. They possess a deep understanding of machine learning algorithms, data structures, and programming languages.

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AWS Machine Learning Blog

MAY 7, 2024

Large language models (LLMs) have unlocked new possibilities for extracting information from unstructured text data. SageMaker JumpStart is a machine learning (ML) hub with foundation models (FMs), built-in algorithms, and prebuilt ML solutions that you can deploy with just a few clicks.

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Flipboard

NOVEMBER 30, 2023

Amazon SageMaker is a fully managed service that enables developers and data scientists to quickly and effortlessly build, train, and deploy machine learning (ML) models at any scale. We provide detailed information and GitHub examples for this new SageMaker capability. We discuss this in Part 2.

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Data Science Dojo

JULY 23, 2024

With the growing use of machine learning (ML) models to handle, store, and manage data, the efficiency and impact of enterprises have also increased. Categorical data is one such form of information that is handled by ML models using different methods. Learn about 101 ML algorithms for data science with cheat sheets 5.

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Hacker News

NOVEMBER 19, 2024

Here are a few of the things that you might do as an AI Engineer at TigerEye: - Design, develop, and validate statistical models to explain past behavior and to predict future behavior of our customers’ sales teams - Own training, integration, deployment, versioning, and monitoring of ML components - Improve TigerEye’s existing metrics collection and (..)

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Data Science Dojo

MAY 10, 2024

Their impact on ML tasks has made them a cornerstone of AI advancements. It allows ML models to work with data but in a limited manner. Stage 2: Introduction of neural networks The next step for LLM embeddings was the introduction of neural networks to capture the contextual information within the data.

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AWS Machine Learning Blog

NOVEMBER 19, 2024

This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of sessions showcasing insights from AWS experts, customer stories, and hands-on experiences with AWS services. Visit the session catalog to learn about all our generative AI and ML sessions.

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AWS Machine Learning Blog

MARCH 8, 2023

Amazon SageMaker is a fully managed machine learning (ML) service. With SageMaker, data scientists and developers can quickly and easily build and train ML models, and then directly deploy them into a production-ready hosted environment. Create a custom container image for ML model training and push it to Amazon ECR.

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Dataconomy

SEPTEMBER 13, 2023

Imagine a world where computers can’t interpret the visual information around them without a little human assistance. These labels provide crucial context for machine learning models, enabling them to make informed decisions and predictions. That’s where data annotation comes into play.

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Data Science Dojo

SEPTEMBER 5, 2024

Understanding these distinctions will enable aspiring professionals to make informed decisions and align their educational and career pathways with their passions and strengths. It encompasses both theoretical and practical topics, including data structures, algorithms, hardware, and software. What is Computer Science?

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Data Science Dojo

SEPTEMBER 5, 2024

Understanding these distinctions will enable aspiring professionals to make informed decisions and align their educational and career pathways with their passions and strengths. It encompasses both theoretical and practical topics, including data structures, algorithms, hardware, and software. What is Computer Science?

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Towards AI

FEBRUARY 20, 2024

Beginner’s Guide to ML-001: Introducing the Wonderful World of Machine Learning: An Introduction Everyone is using mobile or web applications which are based on one or other machine learning algorithms. You might be using machine learning algorithms from everything you see on OTT or everything you shop online.

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AWS Machine Learning Blog

DECEMBER 9, 2024

With access to a wide range of generative AI foundation models (FM) and the ability to build and train their own machine learning (ML) models in Amazon SageMaker , users want a seamless and secure way to experiment with and select the models that deliver the most value for their business.

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Towards AI

JULY 9, 2024

Advances in artificial intelligence and machine learning have led to the development of increasingly complex object detection algorithms, which allow us to efficiently and precisely interpret large volumes of geographical data. This is somewhat of a popular algorithm for geospatial analysis. What is Object Detection?

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AWS Machine Learning Blog

MAY 8, 2024

They focused on improving customer service using data with artificial intelligence (AI) and ML and saw positive results, with their Group AI Maturity increasing from 50% to 80%, according to the TM Forum’s AI Maturity Index. Concurrently, the ensemble model strategically combines the strengths of various algorithms.

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Data Science Dojo

APRIL 16, 2024

Machine learning (ML) engineer Potential pay range – US$82,000 to 160,000/yr Machine learning engineers are the bridge between data science and engineering. Integrating the knowledge of data science with engineering skills, they can design, build, and deploy machine learning (ML) models.

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Dataconomy

MAY 4, 2023

By analyzing large datasets and recognizing patterns that may not be visible to the human eye, machine learning algorithms can provide unprecedented insights into patient health and enable medical professionals to make more informed decisions. What is machine learning?

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Data Science Dojo

JUNE 16, 2023

OpenAI is a research company that specializes in artificial intelligence (AI) and machine learning (ML) technologies. OpenAI provides developers with a range of tools and APIs that can be used to incorporate AI and ML into their mobile apps. Its goal is to develop safe AI systems that can benefit humanity as a whole.

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AWS Machine Learning Blog

NOVEMBER 15, 2023

AutoML allows you to derive rapid, general insights from your data right at the beginning of a machine learning (ML) project lifecycle. Understanding up front which preprocessing techniques and algorithm types provide best results reduces the time to develop, train, and deploy the right model. As these increase, so will the cost.

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Dataconomy

JULY 4, 2023

Hyper automation, which uses cutting-edge technologies like AI and ML, can help you automate even the most complex tasks. It’s also about using AI and ML to gain insights into your data and make better decisions. ML algorithms enable systems to identify patterns, make predictions, and take autonomous actions.

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Data Science Dojo

NOVEMBER 10, 2023

With the help of artificial intelligence (AI) and machine learning (ML), data scientists are able to extract valuable insights from this data to inform decision-making and drive business success.

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Data Science Dojo

AUGUST 13, 2024

These models leverage natural language processing (NLP) to understand, generate, and optimize content in ways that align with modern search engine algorithms and user intent. They enable SEO professionals to create high-quality, relevant content that aligns with user intent and modern search engine algorithms.

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Flipboard

MAY 16, 2023

When we talk about artificial intelligence (AI) in business and society today, what we really mean is machine learning (ML). This refers to applications that use algorithms (a set of instructions) to become increasingly good at performing a particular task as it is exposed to more and more data …

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Data Science Dojo

MAY 10, 2024

Their impact on ML tasks has made them a cornerstone of AI advancements. It allows ML models to work with data but in a limited manner. Stage 2: Introduction of neural networks The next step for LLM embeddings was the introduction of neural networks to capture the contextual information within the data.

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Data Science Dojo

AUGUST 24, 2023

ML models have grown significantly in recent years, and businesses increasingly rely on them to automate and optimize their operations. However, managing ML models can be challenging, especially as models become more complex and require more resources to train and deploy. What is MLOps?

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Machine Learning Machine Learning ML ML 195

Dataconomy

AUGUST 22, 2024

Aleksandr Timashov is an ML Engineer with over a decade of experience in AI and Machine Learning. I led several projects that dramatically advanced the company’s technological capabilities: Real-time Video Analytics for Security: We developed an advanced system integrating deep learning algorithms with existing CCTV infrastructure.

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Towards AI

JULY 15, 2024

We shall look at various machine learning algorithms such as decision trees, random forest, K nearest neighbor, and naïve Bayes and how you can install and call their libraries in R studios, including executing the code. I wrote about Python ML here. Join thousands of data leaders on the AI newsletter.

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