Data Science Dojo

MAY 27, 2024

A visual representation of generative AI – Source: Analytics Vidhya Generative AI is a growing area in machine learning, involving algorithms that create new content on their own. These algorithms use existing data like text, images, and audio to generate content that looks like it comes from the real world.

K-nearest Neighbors 338

K-nearest Neighbors Supervised Learning AI AI 338

Data Science Dojo

SEPTEMBER 8, 2023

We’ll dive into the core concepts of AI, with a special focus on Machine Learning and Deep Learning, highlighting their essential distinctions. However, with the introduction of Deep Learning in 2018, predictive analytics in engineering underwent a transformative revolution.

Predictive Analytics 243

Predictive Analytics Analytics Analytics Deep Learning 243

DrivenData Labs

MAY 18, 2023

My research focuses on differential privacy and explainable machine learning but extends to other areas where applying formal models brings new ideas to the table. My colleague Ryan McKenna had success in the 2018 Synthetic Data Challenge and was instrumental in getting me up to speed for this one.

Data Science 246

Data Science Data Scientist Machine Learning Machine Learning 246

Dataconomy

MARCH 19, 2025

Tensor Processing Units (TPUs) represent a significant leap in hardware specifically designed for machine learning tasks. They are essential for processing large amounts of data efficiently, particularly in deep learning applications. TPUs are specialized hardware designed to accelerate and optimize machine learning workloads.

Machine Learning 91

Machine Learning Machine Learning Natural Language Processing Deep Learning 91

Dataconomy

APRIL 2, 2025

Through various machine learning techniques, artists and non-artists alike can harness the power of algorithms to generate unique visual and auditory experiences. This genre encompasses everything from purely algorithm-generated images to pieces modified by AI tools. Accessibility opens up new avenues for expression.

AI 91

AI AI Machine Learning Machine Learning 91

Smart Data Collective

FEBRUARY 24, 2021

You might have received a lengthy email from your coworker, and you could simply press on the ‘Got it’ response suggested by Google’s AI algorithm to compose your reply. However, this ever-evolving machine learning technology might surprise you in this regard. Machine Learning to Write your College Essays.

Machine Learning 104

Machine Learning Machine Learning Natural Language Processing AI 104

ODSC - Open Data Science

SEPTEMBER 21, 2023

The majority of us who work in machine learning, analytics, and related disciplines do so for organizations with a variety of different structures and motives. The following is an extract from Andrew McMahon’s book , Machine Learning Engineering with Python, Second Edition.

Machine Learning 98

Machine Learning Machine Learning ML ML 98

Smart Data Collective

JUNE 24, 2023

Fortunately, new advances in machine learning technology can help mitigate many of these risks. Therefore, you will want to make sure that your cryptocurrency wallet or service is protected by machine learning technology. In 2018, researchers used data mining and machine learning to detect Ponzi schemes in Ethereum.

Machine Learning 98

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 98

Flipboard

JUNE 3, 2025

By employing machine-learning models, this study utilizes agronomical and molecular features to predict powdery mildew disease resistance in Barley (Hordeum Vulgare L). The study employed RReliefF, MRMR, and F-Test feature selection algorithms to identify essential phenotype traits and molecular markers.

Machine Learning 65

Machine Learning Machine Learning Decision Trees Algorithm 65

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 (.,

Algorithm 103

Algorithm ML ML AI 103

Dataconomy

MARCH 17, 2025

Machine learning algorithms: Utilizing recurrent neural networks and TensorFlow Extended, Duplex effectively handles various tasks with high accuracy and adaptability. Release and availability of Google Duplex Google Duplex made its debut at Google I/O 2018, where Sundar Pichai showcased its capabilities.

Natural Language Processing 91

Natural Language Processing Artificial Intelligence Artificial Intelligence Machine Learning 91

AWS Machine Learning Blog

DECEMBER 2, 2024

Chronos: Learning the language of time series.” Transactions on Machine Learning Research (2024). [2] O Texts (2018). [3] In The Eleventh International Conference on Learning Representations (2023). [5] Exploring the limits of transfer learning with a unified text-to-text transformer.” 2] Hyndman, R.

Machine Learning 85

Machine Learning Machine Learning Deep Learning Deep Learning 85

ML @ CMU

JANUARY 2, 2025

In practice, our algorithm is off-policy and incorporates mechanisms such as two critic networks and target networks as in TD3 ( fujimoto et al., 2018 ) to enhance training (see Materials and Methods in Zhang et al.,

Deep Learning 340

Deep Learning AI Deep Learning AI 340

Dataconomy

MARCH 20, 2025

TensorFlow has revolutionized the field of machine learning and deep learning since its inception. TensorFlow is an open-source framework designed for machine learning and deep learning applications. Industry use cases Search optimization: TensorFlow powers Googles RankBrain for improved search algorithms.

Machine Learning 91

Machine Learning Machine Learning Deep Learning Deep Learning 91

NYU Center for Data Science

OCTOBER 16, 2024

The tweet linked to a paper from 2018, hinting at the foundational research behind these now-commercialized ideas. Back in 2018, recent CDS PhD grad Katrina Drozdov (née Evtimova), Cho, and their colleagues published a paper at ICLR called “ Emergent Communication in a Multi-Modal, Multi-Step Referential Game.”

Computer Science 98

Computer Science Computer Science Deep Learning Deep Learning 98

Flipboard

JANUARY 31, 2023

The app uses algorithmic predictions, which Kevin Systrom sees as ‘the future of social.’ The Instagram co-founders, who departed Facebook in 2018 amid tensions with their parent company, have formed a new venture to explore ideas for next-generation social … Kevin Systrom and Mike Krieger are back.

Algorithm 138

Algorithm Machine Learning Machine Learning 138

ODSC - Open Data Science

MARCH 12, 2025

By analyzing conference session titles and abstracts from 2018 to 2024, we can trace the rise and fall of key trends that shaped the industry. The Rise of AI Engineering andMLOps 20182019: Early discussions around MLOps and AI engineering were sparse, primarily focused on general machine learning best practices.

Data Science 52

Data Science Machine Learning Machine Learning Data Engineering 52

Data Science 101

JUNE 3, 2019

Playing Atari with Deep Reinforcement Learning (2013) – A bit older, but a classic in the reinforcement learning literature Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning (2018) – title sums it up Borg, Omega, and Kubernetes (2016) – Kubernetes is widely used and this is one of the early papers Integer (..)

Data Science 96

Data Science Machine Learning Machine Learning Algorithm 96

Dataconomy

OCTOBER 2, 2024

Kingma, is a prominent figure in the field of artificial intelligence and machine learning. cum laude in machine learning from the University of Amsterdam in 2017. His academic work, particularly in deep learning and generative models, has had a profound impact on the AI community. ” Who is Durk Kingma?

Machine Learning 103

Machine Learning Machine Learning Natural Language Processing Deep Learning 103

Heartbeat

FEBRUARY 6, 2023

How do Object Detection Algorithms Work? There are two main categories of object detection algorithms. Two-Stage Algorithms: Two-stage object detection algorithms consist of two different stages. Single-stage object detection algorithms do the whole process through a single neural network model.

Algorithm 90

Algorithm Deep Learning Deep Learning ML 90

Smart Data Collective

JANUARY 14, 2021

A research project from Israel is helping solve the problem of overwhelming email messages by using big data algorithms to sort through email content more effectively. Mark Last, a professor with Ben Gurion University worked with his colleagues to develop some big data algorithms to summarize text more efficiently.

Big Data 133

Big Data Big Data Machine Learning Machine Learning 133

Flipboard

DECEMBER 4, 2024

In 2018, Google DeepMind's AlphaZero program taught itself the games of chess, shogi, and Go using machine learning and a special algorithm to determine the best moves to win a game within a defined grid.

Machine Learning 73

Machine Learning Machine Learning Algorithm Computer Science 73

Dataconomy

MARCH 5, 2025

Technology and methodology DeepMind’s approach revolves around sophisticated machine learning methods that enable AI to interact with its environment and learn from experience. Input and learning process To begin learning, DeepMind systems take in raw data, often in the form of pixel information.

Deep Learning 91

Deep Learning Deep Learning Artificial Intelligence Artificial Intelligence 91

AWS Machine Learning Blog

APRIL 7, 2025

This approach allows for greater flexibility and integration with existing AI and machine learning (AI/ML) workflows and pipelines. Chakravarthy Nagarajan is a Principal Solutions Architect specializing in machine learning, big data, and high performance computing. billion to a projected $574.78

AWS 112

AWS Machine Learning Machine Learning ML 112

Smart Data Collective

NOVEMBER 17, 2021

85,000 jobs disappeared from the retail sector in the first quarter of 2018, and about 30,000 retailers reported financial difficulties. from prior periods as of 2018. Here are some of the biggest ways that retailers are harnessing the power of machine learning and AI. In the U.K., Major AI Trends in Retail. Conclusion.

Artificial Intelligence 142

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 142

Flipboard

MAY 29, 2025

Custom geospatial machine learning : Fine-tune a specialized regression, classification, or segmentation model for geospatial machine learning (ML) tasks. A common high-performance search algorithm for this is approximate nearest neighbor (ANN). apply(lambda x: x.year) df["month"] = df["date"].apply(lambda

AWS 115

AWS ML ML Machine Learning 115

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. This article explores real-world cases where poor-quality data led to model failures, and what we can learn from these experiences. Machine learning algorithms rely heavily on the data they are trained on.

Machine Learning 52

Machine Learning Machine Learning Data Quality Algorithm 52

Hacker News

JUNE 1, 2023

This is what I wrote in Click Here to Kill Everybody (2018): I am less worried about AI; I regard fear of AI more as a mirror of our own society than as a harbinger of the future. AI and intelligent robotics are the culmination of several precursor technologies, like machine learning algorithms, automation, and autonomy.

AI 178

AI AI Artificial Intelligence Artificial Intelligence 178

AWS Machine Learning Blog

MARCH 8, 2023

MPII is using a machine learning (ML) bid optimization engine to inform upstream decision-making processes in power asset management and trading. SageMaker enables Marubeni to run ML and numerical optimization algorithms in a single environment. He has over 25 years of technology experience and has joined AWS in 2018.

AWS 95

AWS Machine Learning Machine Learning Analytics 95

Data Science 101

APRIL 26, 2019

Go Machine Learning Projects (2018) – this book uses gonum and gorgonia in the examples Machine Learning with Go (2017). Machine Learning with Go? In short, Golang is not widely used for exploratory data science, but rewriting your algorithms in Golang might be a good idea.

Data Science 111

Data Science Machine Learning Machine Learning Python 111

Alation

FEBRUARY 13, 2020

By matching landmarks on the human face or identifying patterns in speech rate, pitch range, intensity, and voice quality, AI is able to detect human emotions — some algorithms can even detect 10-different emotions. AI is not a fad, algorithmic decision-making is inevitable. Human Curation + Machine Learning.

Machine Learning 52

Machine Learning Machine Learning Analytics Analytics 52

AWS Machine Learning Blog

OCTOBER 5, 2023

Before that, he worked on developing machine learning methods for fraud detection for Amazon Fraud Detector. He is passionate about applying machine learning, optimization, and generative AI techniques to various real-world problems. He focuses on developing scalable machine learning algorithms.

AWS 124

AWS Machine Learning Machine Learning Deep Learning 124

Mlearning.ai

FEBRUARY 10, 2023

Techniques for reducing avoidable bias If you train your machine learning model and you see that your algorithm is suffering from high avoidable bias, you could the following techniques to reduce it. Summary Bias and variance are two main sources of error in machine learning. Machine learning yearning.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

Dataconomy

OCTOBER 5, 2023

AI has made significant contributions to various aspects of our lives in the last five years ( Image credit ) How do AI technologies learn from the data we provide? AI technologies learn from the data we provide through a structured process known as training. Another form of machine learning algorithm is known as unsupervised learning.

AI 136

AI AI Artificial Intelligence Artificial Intelligence 136

Flipboard

JANUARY 14, 2025

His work on the attention mechanism and latent variable models received an Outstanding Paper Award at ACL 2017 and the Best Paper Award for JNLP in 2018 and 2019. She has industry experience, multiple first-author publications in top ML/NLP conferences, and strong foundation in mathematics and algorithms. She obtained her Ph.D.

AWS 161

AWS Natural Language Processing AI AI 161

Dataconomy

SEPTEMBER 4, 2023

Predictive analytics: Predictive analytics leverages historical data and statistical algorithms to make predictions about future events or trends. Machine learning and AI analytics: Machine learning and AI analytics leverage advanced algorithms to automate the analysis of data, discover hidden patterns, and make predictions.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

ML @ CMU

DECEMBER 29, 2023

These factors introduce noise that can affect hyperparameter tuning algorithms and lead to suboptimal model selection. Hyperparameter tuning is critical to the success of cross-device federated learning applications. Three key factors differentiate FL from traditional centralized learning and distributed learning: Scale.

Algorithm 212

Algorithm Machine Learning Machine Learning ML 212