Data Science Dojo

MARCH 31, 2023

Artificial intelligence (AI), machine learning (ML), and data science have become some of the most significant topics of discussion in today’s technological era. Meanwhile, Francesca, a principal data scientist manager at Microsoft, leads teams of data scientists and ML scientists, working on internal problems at Microsoft.

Data Scientist 370

Data Scientist AI AI Data Science 370

Data Science Dojo

DECEMBER 28, 2023

That world is not science fiction—it’s the reality of machine learning (ML). In this blog post, we’ll break down the end-to-end ML process in business, guiding you through each stage with examples and insights that make it easy to grasp. Formatting the data in a way that ML algorithms can understand.

Machine Learning 195

Machine Learning Machine Learning ML ML 195

Towards AI

SEPTEMBER 5, 2024

Currently, we are working hard on the second edition of Building LLMs for Production, and we would love to know how your reading journey with the book has been. Super excited to read your reviews for the book! Perfectlord is looking for a few college students from India for the Amazon ML Challenge. AI poll of the week!

Algorithm 85

Algorithm ML ML Machine Learning 85

Analytics Vidhya

JUNE 12, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Agglomerative Clustering using Single Linkage (Source) As we all know, The post Single-Link Hierarchical Clustering Clearly Explained! appeared first on Analytics Vidhya.

Clustering 271

Clustering Data Science Analytics Analytics 271

Dataconomy

MAY 2, 2023

They design, develop, and deploy the machine learning algorithms that power everything from self-driving cars to personalized recommendations. They also develop algorithms that are utilized to sort through relevant data, and scale predictive models to best suit the amount of data pertinent to the business. They build the future.

ML 110

ML ML Machine Learning Machine Learning 110

Flipboard

DECEMBER 18, 2024

improves search results for best matching 25 (BM25), a keyword-based algorithm that performs lexical search, in addition to semantic search. In this approach, the query and document encodings are generated with the same embedding algorithm. In this blog post, well dive into the various scenarios for how Cohere Rerank 3.5

K-nearest Neighbors 121

K-nearest Neighbors AWS ML ML 121

How to Learn Machine Learning

MAY 2, 2025

Azure Machine Learning is Microsoft’s enterprise-grade service that provides a comprehensive environment for data scientists and ML engineers to build, train, deploy, and manage machine learning models at scale. You can explore its capabilities through the official Azure ML Studio documentation. Awesome, right?

Azure 52

Azure Machine Learning Machine Learning Data Science 52

AWS Machine Learning Blog

DECEMBER 11, 2024

The challenge: Scaling quality assessments EBSCOlearnings learning pathscomprising videos, book summaries, and articlesform the backbone of a multitude of educational and professional development programs. This correctly reflects the assertion of the Consumer Relevancy model as described in the Book Summary.

AI 97

AI AI AWS Machine Learning 97

Dataconomy

MARCH 17, 2025

Machine learning (ML): Allows continuous improvement through data analysis. AI evolution: Virtual agents utilize more sophisticated algorithms for interaction. Hospitality: Assisting with booking inquiries and customer feedback. Natural language processing (NLP): Helps in understanding user intent and context.

Natural Language Processing 91

Natural Language Processing Machine Learning Machine Learning Artificial Intelligence 91

Flipboard

DECEMBER 3, 2024

As a global leader in agriculture, Syngenta has led the charge in using data science and machine learning (ML) to elevate customer experiences with an unwavering commitment to innovation. He’s the author of the bestselling book “Interpretable Machine Learning with Python,” and the upcoming book “DIY AI.”

AWS 143

AWS AI AI Machine Learning 143

ODSC - Open Data Science

SEPTEMBER 21, 2023

The following is an extract from Andrew McMahon’s book , Machine Learning Engineering with Python, Second Edition. Secondly, to be a successful ML engineer in the real world, you cannot just understand the technology; you must understand the business. First of all, the ultimate goal of your work is to generate value.

Machine Learning 98

Machine Learning Machine Learning ML ML 98

Mlearning.ai

OCTOBER 7, 2023

Much of this post is based on Machine Learning: An Algorithmic Perspective by Stephen Marsland. This book offers easy-to-follow and… Continue reading on MLearning.ai »

Algorithm 52

Algorithm Machine Learning Machine Learning ML 52

Dataconomy

AUGUST 3, 2023

They’ve long used AI’s little brother Machine Learning (ML) for demand and price management in the airline, hotel, and transport industries. expected to fine-tune pricing algorithms so suppliers can get maximum profits. Marketing companies are also babbling excitedly about AI’s ability to create hyper-personalized trips for travelers.

AI 172

AI AI Artificial Intelligence Artificial Intelligence 172

Data Science Dojo

AUGUST 13, 2024

Large Language Models (LLMs) are advanced AI systems trained on vast datasets of text from the internet, books, articles, and other sources. 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.

Algorithm 195

Algorithm AI AI Natural Language Processing 195

Data Science 101

APRIL 26, 2019

Golang Data Science Books. There have even been a couple books written about the topic. Go Machine Learning Projects (2018) – this book uses gonum and gorgonia in the examples Machine Learning with Go (2017). Thoughts from the Community.

Data Science 111

Data Science Machine Learning Machine Learning Python 111

Towards AI

JULY 1, 2024

Learn the basics of data engineering to improve your ML modelsPhoto by Mike Benna on Unsplash It is not news that developing Machine Learning algorithms requires data, often a lot of data. When the data is not good, the algorithms trained on it will not be good either.

ETL 87

ETL Data Scientist Data Engineering Data Engineer 87

AWS Machine Learning Blog

NOVEMBER 30, 2023

Verifiable evaluation scores are provided across text generation, summarization, classification and question answering tasks, including customer-defined prompt scenarios and algorithms. It also integrates with Machine Learning and Operation (MLOps) workflows in Amazon SageMaker to automate and scale the ML lifecycle. What is FMEval?

Algorithm 117

Algorithm AWS ML ML 117

IBM Journey to AI blog

JUNE 5, 2024

That’s why today’s application analytics platforms rely on artificial intelligence (AI) and machine learning (ML) technology to sift through big data, provide valuable business insights and deliver superior data observability. AI- and ML-generated SaaS analytics enhance: 1. What are application analytics?

Analytics 94

Analytics Analytics AI AI 94

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.

Artificial Intelligence 110

Artificial Intelligence Artificial Intelligence AI AI 110

Towards AI

JULY 18, 2024

If you want to check it out, we also have our book, Building LLMs for Production, available on the O’Reilly learning platform. We recently partnered with O’Reilly to make our book available on their learning platform. If you are enjoying our latest book, Building LLMs for Production, could you take a moment to drop an honest review?

AI 105

AI AI Python Algorithm 105

AWS Machine Learning Blog

FEBRUARY 25, 2025

Services class Texts belonging to this class consist of explicit requests for services such as room reservations, hotel bookings, dining services, cinema information, tourism-related inquiries, and similar service-oriented requests. For the classfier, we employed a classic ML algorithm, k-NN, using the scikit-learn Python module.

Algorithm 82

Algorithm Machine Learning Machine Learning K-nearest Neighbors 82

O'Reilly Media

SEPTEMBER 19, 2023

Stage 2: Machine learning models Hadoop could kind of do ML, thanks to third-party tools. But in its early form of a Hadoop-based ML library, Mahout still required data scientists to write in Java. And it (wisely) stuck to implementations of industry-standard algorithms. Those algorithms packaged with scikit-learn?

Hadoop 135

Hadoop Algorithm ML ML 135

Towards AI

APRIL 7, 2024

Created by the author with DALL E-3 Statistics, regression model, algorithm validation, Random Forest, K Nearest Neighbors and Naïve Bayes— what in God’s name do all these complicated concepts have to do with you as a simple GIS analyst? For example, it takes millions of images and runs them through a training algorithm.

Machine Learning 103

Machine Learning Machine Learning K-nearest Neighbors Supervised Learning 103

AWS Machine Learning Blog

JANUARY 31, 2024

Embeddings play a key role in natural language processing (NLP) and machine learning (ML). This technique is achieved through the use of ML algorithms that enable the understanding of the meaning and context of data (semantic relationships) and the learning of complex relationships and patterns within the data (syntactic relationships).

Natural Language Processing 135

Natural Language Processing AWS Machine Learning Machine Learning 135

AWS Machine Learning Blog

SEPTEMBER 11, 2024

These activities cover disparate fields such as basic data processing, analytics, and machine learning (ML). ML is often associated with PBAs, so we start this post with an illustrative figure. The ML paradigm is learning followed by inference. The union of advances in hardware and ML has led us to the current day.

AWS 115

AWS ML ML Clustering 115

DagsHub

AUGUST 29, 2024

Source: Author Introduction Machine learning (ML) models, like other software, are constantly changing and evolving. Version control systems (VCS) play a key role in this area by offering a structured method to track changes made to models and handle versions of data and code used in these ML projects.

ML 52

ML ML Python Machine Learning 52

Towards AI

SEPTEMBER 12, 2024

Learn about the most exciting advancements in ML, NLP, and robotics and how they are being scaled for success and growth. If you’re into offline-first apps, vector databases, or running ML models on users’ devices, read the article here. Support a fellow community member and share your feedback in the thread! AI poll of the week!

Algorithm 111

Algorithm AI AI Database 111

Applied Data Science

OCTOBER 25, 2021

Solid theoretical background in statistics and machine learning, experience with state-of-the-art deep learning algorithms, expert command of tools for data pre-processing, database management and visualisation, creativity and story-telling abilities, communication and team-building skills, familiarity with the industry.

Data Science 130

Data Science Machine Learning Machine Learning Deep Learning 130

AWS Machine Learning Blog

FEBRUARY 29, 2024

Creating scalable and efficient machine learning (ML) pipelines is crucial for streamlining the development, deployment, and management of ML models. Configuration files (YAML and JSON) allow ML practitioners to specify undifferentiated code for orchestrating training pipelines using declarative syntax.

AWS 129

AWS ML ML Machine Learning 129

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.

Clustering 102

Clustering ML ML AWS 102

Dataconomy

FEBRUARY 20, 2025

“A foundational model is a machine-learning algorithm trained on a massive amount of data,” Luchenkov said. ” He also recommends consulting Google’s rules-of-ml for guidance on building AI/ML systems. “These models can understand text, images, sound, and virtually any input within a specific domain.”

Machine Learning 113

Machine Learning Machine Learning AI AI 113

Dataconomy

SEPTEMBER 19, 2023

The concept encapsulates a broad range of AI-enabled abilities, from Natural Language Processing (NLP) to machine learning (ML), aimed at empowering computers to engage in meaningful, human-like dialogue. But what exactly is conversational intelligence, and why is it so crucial in today’s tech-driven world?

Natural Language Processing 113

Natural Language Processing Machine Learning Machine Learning Artificial Intelligence 113

Pickl AI

NOVEMBER 4, 2024

Mathematics is critical in Data Analysis and algorithm development, allowing you to derive meaningful insights from data. Linear algebra is vital for understanding Machine Learning algorithms and data manipulation. Books and Tutorials Books and tutorials are valuable resources for in-depth, self-paced learning.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Pickl AI

SEPTEMBER 12, 2024

With over 4 million hosts and more than 1 billion guest arrivals since its inception, the platform collects data from various sources, including user interactions, booking patterns, and customer feedback. For example, Airbnb analyses past booking data to understand seasonal trends and popular destinations.

Big Data 52

Big Data Big Data Machine Learning Machine Learning 52

AWS Machine Learning Blog

JUNE 12, 2024

Photo by Zbynek Burival on Unsplash Time series forecasting is a specific machine learning (ML) discipline that enables organizations to make informed planning decisions. Amazon has a long heritage of using time series forecasting, dating back to the early days of having to meet mail-order book demand.

ML 129

ML ML AWS Data Lakes 129

AWS Machine Learning Blog

FEBRUARY 13, 2024

The BigBasket team was running open source, in-house ML algorithms for computer vision object recognition to power AI-enabled checkout at their Fresho (physical) stores. Their objective was to fine-tune an existing computer vision machine learning (ML) model for SKU detection. Log model training metrics.

AWS 134

AWS AI AI ML 134

Heartbeat

MARCH 14, 2023

By incorporating computer vision methods and algorithms into robots, they are able to view and understand their environment. Object recognition and tracking algorithms include the CamShift algorithm , Kalman filter , and Particle filter , among others.

Deep Learning 97

Deep Learning Deep Learning Algorithm Machine Learning 97