ODSC - Open Data Science

OCTOBER 4, 2024

In the rapidly developing fields of AI and data science, innovation is constant, and constantly advances by leaps and bounds. Prior to NVIDIA, he worked at Enigma Technologies, a data science startup. Join us at ODSC West 2024 to learn from the knowledge and expertise of these renowned AI and data science practitioners.

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AWS Machine Learning Blog

NOVEMBER 16, 2023

Photo by Scott Webb on Unsplash Determining the value of housing is a classic example of using machine learning (ML). Almost 50 years later, the estimation of housing prices has become an important teaching tool for students and professionals interested in using data and ML in business decision-making.

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ODSC - Open Data Science

AUGUST 16, 2024

Learn about cutting-edge developments in AI and data science from the experts who know them best on ODSC’s Ai X Podcast. This episode is a previously recorded interview from early 2023 with one of computer science’s most influential pioneers, Michael I. You can listen on Spotify , Apple , and SoundCloud.To

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AWS Machine Learning Blog

FEBRUARY 28, 2023

In today’s highly competitive market, performing data analytics using machine learning (ML) models has become a necessity for organizations. It enables them to unlock the value of their data, identify trends, patterns, and predictions, and differentiate themselves from their competitors.

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ODSC - Open Data Science

SEPTEMBER 22, 2023

Previously, he served in a number of executive roles at IBM spanning product, engineering, and sales that were focused on taking cutting-edge data science, machine learning, and AI offerings to market. Eddie Zhou | Head of AI and ML | Glean AI Eddie joined Glean as a founding engineer.

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Mlearning.ai

MAY 15, 2023

Photo by Andrew Neel on Unsplash Introduction If you are working or have worked on any data science task then you definitely used pandas. So, pandas is a library which helps with performing data ingestion and transformations. apply(lambda x: x.year) df.groupby('year')['Sales'].mean() Yearly average sales.

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DagsHub

APRIL 7, 2024

Image generated with Midjourney In today’s fast-paced world of data science, building impactful machine learning models relies on much more than selecting the best algorithm for the job. Data scientists and machine learning engineers need to collaborate to make sure that together with the model, they develop robust data pipelines.

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Pickl AI

MAY 16, 2023

If you are a Data Scientist, then your LinkedIn profile should be flooded with information on Data Science’s latest development in this domain, such that it instantly garners the attention of recruiters as well as your contemporaries. In fact, these industries majorly employ Data Scientists.

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DrivenData Labs

MARCH 30, 2023

His research is developing SAFE (secure & private, auditable, fair, and equitable) theoretical approaches and practical frameworks to leverage the power of data to solve real-world problems. His interests are in privacy-preserving machine learning, particularly in the areas of differential privacy, ML security, and federated learning.

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How to Learn Machine Learning

OCTOBER 10, 2024

The quality of your training data in Machine Learning (ML) can make or break your entire project. In this case, Amazon had to scrap the project, highlighting the hidden costs of poor training data. Microsoft’s Tay Chatbot Misfire Microsoft launched an AI chatbot called Tay on Twitter in 2016.

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Ocean Protocol

SEPTEMBER 29, 2023

This data challenge took NFL player performance data and fantasy points from the last 6 seasons to calculate forecasted points to be scored in the 2024 NFL season that began Sept. AI / ML offers tools to give a competitive edge in predictive analytics, business intelligence, and performance metrics.

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AWS Machine Learning Blog

APRIL 18, 2023

JumpStart helps you quickly and easily get started with machine learning (ML) and provides a set of solutions for the most common use cases that can be trained and deployed readily with just a few steps. Defining hyperparameters involves setting the values for various parameters used during the training process of an ML model.

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DagsHub

JULY 25, 2024

This guarantees businesses can fully utilize deep learning in their AI and ML initiatives. You can make more informed judgments about your AI and ML initiatives if you know these platforms' features, applications, and use cases. Performance and Scalability Consider the platform's training speed and inference efficiency.

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Mlearning.ai

JANUARY 27, 2023

You can use the below resources for creating your data. ★ Kaggle image datasets: Link Users of Kaggle may discover and share data sets, study and develop models in a web-based data science environment, and collaborate with other data scientists and computer vision experts.

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IBM Journey to AI blog

SEPTEMBER 11, 2023

Db2, however, allows for very high insert rates without having to partition or shard the database—all while being able to query the data using standard SQL with Atomicity, Consistency, Isolation, Durability (ACID) compliance on the world’s most stable, highly available platform.

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Mlearning.ai

APRIL 10, 2023

With the emergence of data science and AI, clustering has allowed us to view data sets that are not easily detectable by the human eye. Thus, this type of task is very important for exploratory data analysis. 1207–1221, May 2016, doi: 10.1109/JSAC.2016.2545384. 2016.2545384. BECOME a WRITER at MLearning.ai

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DataRobot Blog

MARCH 10, 2022

The “Fourth Industrial Revolution” was coined by Klaus Schwab of the World Economic Forum in 2016. Python is unarguably the most broadly used programming language throughout the data science community. After a model has been selected for production, most data science teams are faced with the question of “now what?”

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Heartbeat

SEPTEMBER 13, 2023

Why We Will Never Open Deep Learning's Black Box || Towards Data Science Brent, M., Explainability and Auditability in ML: Definitions, Techniques, and Tools || Neptune.ai For explainability purposes, you can log the explanations generated by different techniques and associate them with the corresponding model runs.

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Heartbeat

MAY 11, 2023

The first version of YOLO was introduced in 2016 and changed how object detection was performed by treating object detection as a single regression problem. YOLO-NAS in action YOLO models are famous for two main reasons: Impressive speed and accuracy. Ability to detect objects in images quickly and dependably. Introducing ?️YOLO-NAS:

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Mlearning.ai

JULY 2, 2023

Following these steps, I will preprocess the data and perform a multivariate forecasting study. Pixabay, Pexels Hello, today I am thrilled to finally sit in front of my computer and delve into an exciting data science project that I have been putting off for quite some time.

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AWS Machine Learning Blog

APRIL 18, 2023

JumpStart helps you quickly and easily get started with machine learning (ML) and provides a set of solutions for the most common use cases that can be trained and deployed readily with just a few steps. Defining hyperparameters involves setting the values for various parameters used during the training process of an ML model.

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Heartbeat

JUNE 14, 2023

On mixup training: Improved calibration and predictive uncertainty for deep neural networks.” [Cross Validated] Editor’s Note: Heartbeat is a contributor-driven online publication and community dedicated to providing premier educational resources for data science, machine learning, and deep learning practitioners.

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Heartbeat

AUGUST 23, 2023

Artificial intelligence in law: The state of play 2016. Editor’s Note: Heartbeat is a contributor-driven online publication and community dedicated to providing premier educational resources for data science, machine learning, and deep learning practitioners. Thomson Reuters Legal Executive Institute.

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Mlearning.ai

JULY 9, 2023

⏱️Performance benchmarking Let’s try it on Kaggle competition dataset based on the 2016 NYC Yellow Cab trip record data and see the numbers using different libraries. BECOME a WRITER at MLearning.ai // invisible ML // 800+ AI tools Mlearning.ai Automatic query optimization in lazy mode. pip isntall pandas # pandas==2.0.3 %pip

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Heartbeat

FEBRUARY 2, 2024

Editor's Note: Heartbeat is a contributor-driven online publication and community dedicated to providing premier educational resources for data science, machine learning, and deep learning practitioners. Ren, S., & Sun, J. Deep residual learning for image recognition. We pay our contributors, and we don't sell ads.

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DrivenData Labs

SEPTEMBER 10, 2024

Winning teams included individuals with expertise in computer science, engineering, biomedical informatics, neuroscience, psychology, data science, sociology, and various clinical specialties. Many teams combined technical skills in AI/ML with domain knowledge in neuroscience, aging, or healthcare.

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AWS Machine Learning Blog

MARCH 30, 2023

While being the well-deserved Switzerland’s #1 since 2016, time will tell whether he pushes Manuel Neuer off the throne in Munich. The result is a machine learning (ML)-powered insight that allows fans to easily evaluate and compare the goalkeepers’ proficiencies. Fotinos Kyriakides is an ML Engineer with AWS Professional Services.

Machine Learning 101

Machine Learning Machine Learning AWS ML 101

Mlearning.ai

FEBRUARY 11, 2023

2016) Statistics in Plain English. If you like this article, please clap. If you wish to read similar articles from me, please follow me to receive an email whenever I publish a new article. References: Urdan, T. Taylor and Francis. Available at: [link] (Accessed: 25 November 2022). BECOME a WRITER at MLearning.ai

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