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.

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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.

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KDnuggets

MARCH 25, 2020

Read our analysis of coronavirus data and poll results; Use your time indoors to learn with 24 best and free books to understand Machine Learning; Study the 9 important lessons from the first year as a Data Scientist; Understand the SVM, a top ML algorithm; check a comprehensive list of AI resources for online learning; and more.

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How to Learn Machine Learning

APRIL 17, 2025

In this article we will explore the Top AI and ML Trends to Watch in 2025: explain them, speak about their potential impact, and advice on how to skill up on them. Heres a look at the top AI and ML trends that are set to shape 2025, and how learners can stay prepared through programs like an AI ML course or an AI course in Hyderabad.

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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!

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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

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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.

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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.

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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.

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O'Reilly Media

MAY 28, 2025

The whole thrust of my 2017 book WTF? Wed put in human words and get back documents that the algorithm thought were most related to what we were looking for. Or What are the most popular books, courses, and live trainings on the O’Reilly platform about software engineering soft skills? That idea is anathema to me.

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Flipboard

JUNE 13, 2025

Yet, navigating the world of AI can feel overwhelming, with its complex algorithms, vast datasets, and ever-evolving tools. Essential AI Skills Guide TL;DR Key Takeaways : Proficiency in programming languages like Python, R, and Java is essential for AI development, allowing efficient coding and implementation of algorithms.

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How to Learn Machine Learning

APRIL 8, 2025

TLDR: In this article we will explore machine learning definitions from leading experts and books, so sit back, relax, and enjoy seeing how the field’s brightest minds explain this revolutionary technology! ” Mitchell’s definition is particularly loved by ML students for its precision.

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How to Learn Machine Learning

JUNE 17, 2025

From developing investment strategies to credit scoring, fraud detection, and algorithmic trading, Machine Learning (ML) is transforming decision-making in financial services. Financial institutions remove ML models available for predicting stock price, currency changes, and economic trends. What Is Machine Learning in Finance?

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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.”

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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.

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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?

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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.

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ODSC - Open Data Science

JULY 3, 2025

Prior to starting LangChain, he led the ML team at Robust Intelligence (an MLOps company focused on testing and validation of machine learning models), led the entity linking team at Kensho (a fintech startup), and studied stats and CS at Harvard. Emmanuel has worked on ML pipelines since 2017 at Instacart and Cruise.

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How to Learn Machine Learning

MAY 14, 2025

Today, we’re diving into something super practical that will help you gather data for your ML projects – how to download video from YouTube easily and efficiently! Y2Mate is the fastest YouTube downloader tool available, working like a well-optimized algorithm to convert and download videos in record time! What is Y2Mate?

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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.

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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.

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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 »

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ODSC - Open Data Science

JUNE 12, 2025

His career bridges machine learning research and startup innovation, with previous roles including leading the ML monitoring team at Robust Intelligence, conducting self-driving AI research at Uber ATG, and developing recommendation systems at Quora. Her most recent work includes a book on Generative AI and Large Language Models.

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How to Learn Machine Learning

MARCH 25, 2025

Definition of Supervised Learning and Unsupervised Learning Supervised learning is a process where an ML model is trained using labeled data. The ML algorithm tries to find hidden patterns and structures in this data. The machine learning algorithm analyzes this data to discover patterns or similarities on its own.

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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.

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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.

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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.

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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?

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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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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?

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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?

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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.

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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.

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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).

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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?

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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!

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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.

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