Flipboard

MAY 16, 2023

In my last project, I had to come up with some code and algorithm to solve an interesting problem. I realized that it could lead to some …

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ODSC - Open Data Science

JANUARY 27, 2023

Ten Game-Changing Generative AI Projects, The Quest for the Ultimate Learning Algorithm, and Training Your PyTorch Model Top Ten Game-Changing Generative AI Projects in 2023 Here are our picks for a few generative AI projects that are worth checking out for yourself, most of which you can experiment with for free.

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Flipboard

SEPTEMBER 4, 2023

In a review published in Engineering, scientists explore the burgeoning field of machine learning (ML) and its applications in chemistry.

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ODSC - Open Data Science

APRIL 13, 2023

How to Use Machine Learning for Algorithmic Trading Machine learning has proven to be a huge boon to the finance industry. Here, we’d like to go a bit deeper and specifically examine the role of machine learning in algorithmic trading, including portfolio optimization and pattern recognition.

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Towards AI

FEBRUARY 15, 2024

AI Engineers: Your Definitive Career Roadmap Become a professional certified AI engineer by enrolling in the best AI ML Engineer certifications that help you earn skills to get the highest-paying job. Coding, algorithms, statistics, and big data technologies are especially crucial for AI engineers.

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Dataversity

OCTOBER 18, 2022

While humans may be the most intellectual creations and sit atop the “food chain,” artificial intelligence (AI) is a branch of computer science that can simulate human intelligence in many cases. AI is implemented via machine learning (ML) and performs tasks traditionally executed by humans.

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ODSC - Open Data Science

FEBRUARY 2, 2023

Just as a writer needs to know core skills like sentence structure, grammar, and so on, data scientists at all levels should know core data science skills like programming, computer science, algorithms, and so on. As MLOps become more relevant to ML demand for strong software architecture skills will increase as well.

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Mlearning.ai

APRIL 15, 2023

The Last Dinner, Leonard Da Vinci, 1494–1498 Data structures used in algorithms As mentioned in the previous article, the right data structures are required for the performance of an algorithm to operate. An incorrect structure could prove to be detrimental or unsustainable to an algorithm. They are numbers arranged linearly.

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Flipboard

MARCH 15, 2023

Artificial intelligence (AI) relies heavily on large, diverse and meticulously-labeled datasets to train machine learning (ML) algorithms. In the modern era, data has become the lifeblood of AI, and obtaining the right data is considered the most critical and challenging aspect of developing robust …

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Dataconomy

FEBRUARY 22, 2023

The systems can only “understand” specific situations they have been exposed to in the past and are unable to generalize in a way that humans find easy, said Stuart Russell, a computer science professor at the University of California, Berkeley. Of course, like any technology, machine learning is not infallible.

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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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Towards AI

AUGUST 16, 2023

In fact, AI/ML graduate textbooks do not provide a clear and consistent description of the AI software engineering process. Therefore, I thought it would be helpful to give a complete description of the AI engineering process or AI Process, which is described in most AI/ML textbooks [5][6]. 85% or more of AI projects fail [1][2].

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Analytics Vidhya

JUNE 12, 2023

Introduction Meet Tajinder, a seasoned Senior Data Scientist and ML Engineer who has excelled in the rapidly evolving field of data science. Tajinder’s passion for unraveling hidden patterns in complex datasets has driven impactful outcomes, transforming raw data into actionable intelligence.

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NYU Center for Data Science

JULY 18, 2023

MaD & MaD+ The Math and Data (MaD) group is a collaboration between CDS and the NYU Courant Institute of Mathematical Sciences. ML² The Machine Learning for Language (ML²) group works on machine learning methods for natural language processing (NLP) through developing cutting-edge models and engaging in research.

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Flipboard

MARCH 11, 2023

In the last tutorial, we learned about our first ML algorithm called Linear Regression. We did it using an approach called Ordinary Least Squares, …

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Pickl AI

APRIL 19, 2023

Machine Learning is the part of Artificial Intelligence and computer science that emphasizes on the use of data and algorithms, imitating the way humans learn and improving accuracy. Job market will experience a rise of 13% by 2026 for ML Engineers Why is Machine Learning Important? Consequently.

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AWS Machine Learning Blog

APRIL 19, 2024

Amazon Personalize accelerates your digital transformation with machine learning (ML), making it effortless to integrate personalized recommendations into existing websites, applications, email marketing systems, and more. A solution version refers to a trained ML model. All your data is encrypted to be private and secure.

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Dataconomy

APRIL 3, 2023

Artificial intelligence, commonly referred to as AI , is the field of computer science that focuses on the development of intelligent machines that can perform tasks that would typically require human intervention. ML models are designed to learn from data and make predictions or decisions based on that data.

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Dataconomy

APRIL 3, 2023

Artificial intelligence, commonly referred to as AI , is the field of computer science that focuses on the development of intelligent machines that can perform tasks that would typically require human intervention. ML models are designed to learn from data and make predictions or decisions based on that data.

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Pickl AI

NOVEMBER 3, 2023

Artificial Intelligence (AI) has gone beyond science fiction. Forecasts indicate that during the next five years, the global algorithmic trading market is expected to increase at a consistent rate of 8.53%. Thus, AI has changed the face of stock trading, from algorithmic trading methods to real-time market monitoring.

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Google Research AI blog

MAY 25, 2023

Posted by Vincent Cohen-Addad and Alessandro Epasto, Research Scientists, Google Research, Graph Mining team Clustering is a central problem in unsupervised machine learning (ML) with many applications across domains in both industry and academic research more broadly. Source , rights: CC-BY-SA-4.0 a relationship in a social network).

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AWS Machine Learning Blog

MAY 10, 2023

In this post, we share how Sleepme used Amazon SageMaker to developed a machine learning (ML) model proof of concept that recommends temperatures to maximize your sleep score. This use case demanded an ML model that served real-time inference. It provides a set of ML capabilities that run on a managed infrastructure on AWS.

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AWS Machine Learning Blog

MARCH 30, 2023

In this post, we introduce a new interactive tool called Snapper, powered by a machine learning (ML) model that reduces the effort required of annotators. ML model optimized for annotators A tremendous number of high-performing object detection models have been proposed by the computer vision community in recent years.

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AWS Machine Learning Blog

FEBRUARY 16, 2024

You can try out this model with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms, models, and ML solutions so you can quickly get started with ML. In this post, we walk through how to discover and deploy the Code Llama model via SageMaker JumpStart.

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AWS Machine Learning Blog

APRIL 4, 2023

AWS provides various services catered to time series data that are low code/no code, which both machine learning (ML) and non-ML practitioners can use for building ML solutions. We recommend running this notebook on Amazon SageMaker Studio , a web-based, integrated development environment (IDE) for ML. References Dua, D.

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ODSC - Open Data Science

FEBRUARY 17, 2023

Data Science Fundamentals Going beyond knowing machine learning as a core skill, knowing programming and computer science basics will show that you have a solid foundation in the field. Computer science, math, statistics, programming, and software development are all skills required in NLP projects.

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Dataconomy

APRIL 18, 2023

Additionally, it is crucial to comprehend the fundamental concepts that underlie AI, including neural networks, algorithms, and data structures. AI systems use a combination of algorithms, machine learning techniques, and data analytics to simulate human intelligence. What is artificial intelligence?

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Heartbeat

OCTOBER 25, 2023

Empowering Data Scientists and Machine Learning Engineers in Advancing Biological Research Image from European Bioinformatics Institute Introduction: In biological research, the fusion of biology, computer science, and statistics has given birth to an exciting field called bioinformatics.

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IBM Journey to AI blog

JULY 6, 2023

Data science solves a business problem by understanding the problem, knowing the data that’s required, and analyzing the data to help solve the real-world problem. Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on learning from what the data science comes up with. What is machine learning?

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AWS Machine Learning Blog

OCTOBER 6, 2023

One such component is a feature store, a tool that stores, shares, and manages features for machine learning (ML) models. Features are the inputs used during training and inference of ML models. Amazon SageMaker Feature Store is a fully managed repository designed specifically for storing, sharing, and managing ML model features.

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ODSC - Open Data Science

MARCH 22, 2023

Mathematics for Data Science Data science uses a combination of mathematics, statistics, and computer science to help us solve questions of importance in a large number of fields. As a bonus, we’ll look into boosting your ML performance with smart upsampling.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Integrate Human Oversight for Process Effectiveness Although automation and ML algorithms significantly advance the efficiency of IDP, there are scenarios where human reviewers can augment and enhance the outcomes, especially in situations with regulatory demands or when encountering low-quality scans. He is focusing on AI/ML and IoT.

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AWS Machine Learning Blog

OCTOBER 27, 2023

Developers can use Amazon Personalize to build applications powered by the same type of machine learning (ML) technology used by Amazon.com for real-time personalized recommendations. With Amazon Personalize, developers can improve user engagement through personalized product and content recommendations with no ML expertise required.

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ODSC - Open Data Science

APRIL 20, 2023

Data Integrity: The Foundation for Trustworthy AI/ML Outcomes and Confident Business Decisions Let’s explore the elements of data integrity, and why they matter for AI/ML. Six Core Competencies Data Scientists Need to Succeed in Their Careers Data scientists need to know more than just algorithms to succeed.

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Pickl AI

APRIL 25, 2023

There are various Machine Learning algorithms including regression and classification algorithms. Consequently, ML algorithms can be further divided into two categories, supervised and unsupervised. Supervised algorithms require you to train datasets for both the input data and the desired output.

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NYU Center for Data Science

DECEMBER 15, 2022

We are trying to apply ideas from machine learning to address real problems in climate science.” Joan is an Associate Professor of Computer Science and Data Science who works with the CILVR (Computational Intelligence, Learning, Vision, and Robotics) group at NYU.

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Heartbeat

AUGUST 23, 2023

Consider a scenario where legal practitioners are armed with clever algorithms capable of analyzing, comprehending, and extracting key insights from massive collections of legal papers. Algorithms can automatically detect and extract key items. But what if there was a technique to quickly and accurately solve this language puzzle?

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