Data Science Dojo

JULY 4, 2023

Generative AI harnesses deep learning algorithms to generate human-like data in response to user input. This technology finds applications in NLP, computer vision, autonomous driving, robotics, and more. Back to basics: What is Generative AI? It goes beyond traditional programming, empowering machines with creativity and curiosity.

AI 195

AI AI Algorithm Natural Language Processing 195

Dataconomy

MAY 29, 2023

Explanation of AI and ML Artificial Intelligence (AI) refers to a field within computer science dedicated to the creation of intelligent machines, capable of executing tasks typically requiring human intelligence. These algorithms allow AI systems to recognize patterns, forecast outcomes, and adjust to new situations.

Predictive Analytics 208

Predictive Analytics ML ML Analytics 208

Dataconomy

FEBRUARY 27, 2025

Background and interdisciplinary approach Various disciplines contribute to the development and understanding of neuromorphic computing. Current projects focus on refining hardware and algorithms to maximize energy efficiency and processing capabilities in neuromorphic systems.

Natural Language Processing 91

Natural Language Processing Algorithm Computer Science Computer Science 91

DrivenData Labs

MAY 18, 2023

I work on machine learning for natural language processing, and I’m particularly interested in few-shot learning, lifelong learning, and societal and health applications such as abuse detection, misinformation, mental ill-health detection, and language assessment. How did you get started in data science?

Natural Language Processing 211

Natural Language Processing Machine Learning Machine Learning Data Science 211

Dataconomy

APRIL 4, 2025

Understanding of AI, ML, and NLP A strong grasp of machine learning concepts, algorithms, and natural language processing is essential in this role. Skills and requirements for AI prompt engineers To succeed as an AI prompt engineer, individuals need a specific set of skills and knowledge bases.

AI 91

AI AI Natural Language Processing Machine Learning 91

Smart Data Collective

MARCH 27, 2023

Data Scientists and Analysts use various tools such as machine learning algorithms, statistical modeling, natural language processing (NLP), and predictive analytics to identify trends, uncover opportunities for improvement, and make better decisions. as this will set you apart from other applicants.

Data Analyst 119

Data Analyst Data Science Data Scientist Natural Language Processing 119

Pickl AI

JULY 18, 2023

With technological developments occurring rapidly within the world, Computer Science and Data Science are increasingly becoming the most demanding career choices. Moreover, with the oozing opportunities in Data Science job roles, transitioning your career from Computer Science to Data Science can be quite interesting.

Computer Science 52

Computer Science Computer Science Data Science Machine Learning 52

Pickl AI

DECEMBER 26, 2024

Introduction In recent years, two technological fields have emerged as frontrunners in shaping the future: Artificial Intelligence (AI) and Quantum Computing. A study demonstrated that quantum algorithms could accelerate the discovery of new materials by up to 100 times compared to classical methods.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

AWS Machine Learning Blog

MARCH 21, 2025

million scholarly articles in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering and systems science, and economics. Generate metadata Using natural language processing, you can generate metadata for the paper to aid in searchability.

AWS 115

AWS AI AI Data Scientist 115

AWS Machine Learning Blog

JANUARY 21, 2025

SageMaker Canvas supports multiple ML modalities and problem types, catering to a wide range of use cases based on data types, such as tabular data (our focus in this post), computer vision, natural language processing, and document analysis. Choose Save.

ML 101

ML ML Algorithm AWS 101

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. And how can we best use insights from natural intelligence to develop new, more powerful machine intelligence technologies that more fruitfully interact with us?”

Data Science 98

Data Science Machine Learning Machine Learning Natural Language Processing 98

Dataconomy

APRIL 18, 2023

The basics of artificial intelligence include understanding the various subfields of AI, such as machine learning, natural language processing, computer vision, and robotics. Additionally, it is crucial to comprehend the fundamental concepts that underlie AI, including neural networks, algorithms, and data structures.

Artificial Intelligence 113

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 113

Pickl AI

DECEMBER 25, 2024

Data Science is an interdisciplinary field that focuses on extracting knowledge and insights from structured and unstructured data. It combines statistics, mathematics, computer science, and domain expertise to solve complex problems. Data Science, however, uses predictive and prescriptive solutions.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

NYU Center for Data Science

DECEMBER 12, 2024

This year, CDS faculty, researchers, and students will present research spanning an extraordinary range of topics, from theoretical advances in optimization and neural networks to practical applications in computer vision and natural language processing.

Computer Science 75

Computer Science Computer Science Data Science Machine Learning 75

ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. Computer science, math, statistics, programming, and software development are all skills required in NLP projects.

Data Science 111

Data Science Deep Learning Deep Learning Natural Language Processing 111

AWS Machine Learning Blog

NOVEMBER 15, 2024

It provides a common framework for assessing the performance of natural language processing (NLP)-based retrieval models, making it straightforward to compare different approaches. Yang holds a Bachelor’s and Master’s degree in Computer Science from Texas A&M University.

AWS 110

AWS Computer Science Computer Science Database 110

Dataconomy

MARCH 14, 2023

In recent years, natural language processing and conversational AI have gained significant attention as technologies that are transforming the way we interact with machines and each other. This necessitates a flexible, efficient, and generalizable learning algorithm. What is natural language processing (NLP)?

Natural Language Processing 70

Natural Language Processing Machine Learning Machine Learning Supervised Learning 70

Towards AI

JANUARY 6, 2025

Professional certificate for computer science for AI by HARVARD UNIVERSITY Professional certificate for computer science for AI is a 5-month AI course that is inclusive of self-paced videos for participants; who are beginners or possess intermediate-level understanding of artificial intelligence.

Artificial Intelligence 105

Artificial Intelligence Artificial Intelligence AI AI 105

Dataconomy

APRIL 12, 2023

By incorporating insights from cognitive science, AI is becoming more advanced and capable, with the potential to transform many aspects of our lives. Artificial intelligence, or AI, is a field of computer science and engineering that focuses on creating machines and systems that can perform tasks that typically require human intelligence.

Artificial Intelligence 91

Artificial Intelligence Artificial Intelligence AI AI 91

Dataconomy

MARCH 23, 2023

Artificial intelligence is a branch of computer science that involves the development of intelligent machines that can perform tasks that typically require human intelligence. AI technologies include machine learning, natural language processing, computer vision, and robotics, among others.

Artificial Intelligence 113

Artificial Intelligence Artificial Intelligence Natural Language Processing Machine Learning 113

ODSC - Open Data Science

DECEMBER 19, 2023

Data scientists with a PhD or a master’s degree in computer science or a related field can earn more than $150,000 per year. They use their knowledge of machine learning algorithms, programming languages, and data science tools to build models that can be used to automate tasks and make predictions.

Data Scientist 96

Data Scientist Machine Learning Machine Learning AI 96

Dataconomy

MARCH 13, 2023

With advances in machine learning, deep learning, and natural language processing, the possibilities of what we can create with AI are limitless. However, the process of creating AI can seem daunting to those who are unfamiliar with the technicalities involved. Train and evaluate the AI models for accuracy and efficiency.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence Natural Language Processing Algorithm 98

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. Unsupervised learning: In unsupervised learning, the algorithm is trained on unlabeled data.

Artificial Intelligence 70

Artificial Intelligence Artificial Intelligence Natural Language Processing AI 70

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. Unsupervised learning: In unsupervised learning, the algorithm is trained on unlabeled data.

Artificial Intelligence 70

Artificial Intelligence Artificial Intelligence Natural Language Processing AI 70

NYU Center for Data Science

DECEMBER 12, 2023

In an era where algorithms determine everything from creditworthiness to carceral sentencing, the imperative for responsible innovation has never been more urgent. Andrew Bell and Lucius Bynum: Challenging Algorithmic Boundaries Andrew Bell’s exploration of algorithmic fairness sets a foundation for the responsible AI dialogue.

Algorithm 98

Algorithm Natural Language Processing AI AI 98

Towards AI

AUGUST 16, 2023

AI engineering is the discipline focused on developing tools, systems, and processes to enable the application of artificial intelligence in real-world contexts, which combines the principles of systems engineering, software engineering, and computer science to create AI systems.

AI 96

AI AI Machine Learning Machine Learning 96

IBM Journey to AI blog

DECEMBER 20, 2023

Each type and sub-type of ML algorithm has unique benefits and capabilities that teams can leverage for different tasks. ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. What is machine learning?

Machine Learning 92

Machine Learning Machine Learning Supervised Learning Clustering 92

ML @ CMU

FEBRUARY 24, 2023

This formulation also allows us to employ off-the-shelf RL algorithms (e.g., Discrete prompt optimization thus amounts to learning a small number of policy parameters which we set as an MLP layer inserted into a frozen compact model such as distilGPT-2. We describe the specific formulations in Section §2.1-2.3 of our paper.

Natural Language Processing 249

Natural Language Processing Algorithm Computer Science Computer Science 249

AWS Machine Learning Blog

OCTOBER 6, 2023

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. To simplify, you can build a regression algorithm using a user’s previous ratings across different categories to infer their overall preferences.

AI 141

AI AI Natural Language Processing ML 141

Data Science Dojo

JUNE 4, 2024

Some common topics discussed and covered in AI books include search algorithms, machine learning, natural language processing, and computer vision – the building blocks of intelligent systems. They cover multiple aspects of a topic in-depth, providing a detailed repository of information for readers.

AI 195

AI AI Artificial Intelligence Artificial Intelligence 195

Dataconomy

MARCH 23, 2023

Artificial intelligence is a branch of computer science that involves the development of intelligent machines that can perform tasks that typically require human intelligence. AI technologies include machine learning, natural language processing, computer vision, and robotics, among others.

Artificial Intelligence 93

Artificial Intelligence Artificial Intelligence Natural Language Processing Machine Learning 93

AWS Machine Learning Blog

JANUARY 13, 2023

Because ML algorithms are often not adequate in protecting the privacy of patient-level data, there is a growing interest among HCLS partners and customers to use privacy-preserving mechanisms and infrastructure for managing and analyzing large-scale, distributed, and sensitive data. [1].

AWS 103

AWS Analytics Analytics Machine Learning 103

AWS Machine Learning Blog

MAY 15, 2025

It significantly reduces the computational and memory requirements for fine-tuning large models by using techniques like LoRA and quantization, enabling users to fine-tune models even on hardware with limited resources. The framework also simplifies the fine-tuning process, making it accessible to both beginners and experienced developers.

AWS 90

AWS ML ML Machine Learning 90

AWS Machine Learning Blog

FEBRUARY 25, 2025

Model invocation We use Anthropics Claude 3 Sonnet model for the natural language processing task. This LLM model has a context window of 200,000 tokens, enabling it to manage different languages and retrieve highly accurate answers. temperature This parameter controls the randomness of the language models output.

Algorithm 82

Algorithm Machine Learning Machine Learning K-nearest Neighbors 82

AWS Machine Learning Blog

NOVEMBER 9, 2023

This retrieval can happen using different algorithms. Her research interests lie in Natural Language Processing, AI4Code and generative AI. Xiaofei has been serving as the science manager for several services including Kendra, Contact Lens, and most recently CodeWhisperer and CodeGuru Security.

AWS 121

AWS Natural Language Processing K-nearest Neighbors Computer Science 121

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. What is NLP?

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Natural Language Processing Machine Learning 52

AWS Machine Learning Blog

APRIL 27, 2023

We collect two such datasets of human feedback in the form of (correction, explanation, error type) for StrategyQA and Sports Understanding datasets, and evaluate several common algorithms to learn from such feedback. We propose multiple training algorithms to learn from the collected feedback. 31.28% Factual Error 27.6% 57.0 ± 2.5%

Machine Learning 95

Machine Learning Machine Learning Natural Language Processing Algorithm 95