Marktechpost

APRIL 19, 2024

This article mentions the top Tableau book one should read in 2024 to stay ahead in the competitive field of data analytics. Practical Tableau “Practical Tableau” is a beginner-friendly book that guides readers to build compelling and interactive data visualization applications. Tableau Your Data! “Tableau Your Data!”

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Explainability Python Business Intelligence Machine Learning 105

Analytics Vidhya

AUGUST 22, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction The purpose of this article is to understand what is granger. The post Granger Causality in Time Series – Explained using Chicken and Egg problem appeared first on Analytics Vidhya.

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Marktechpost

APRIL 16, 2024

This article lists the top LangChain books one should read in 2024 to deepen one’s understanding of this trending topic. Quick Start Guide to Large Language Models This book guides how to work with, integrate, and deploy LLMs to solve real-world problems.

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Auto-complete Large Language Models Prompt Engineer Prompt Engineering 105

Marktechpost

APRIL 12, 2024

This article provides a list of top statistics books one should read in 2024 to augment their knowledge of this field and stay updated with the latest updates. Naked Statistics “Naked Statistics” is a beginner-friendly book that focuses on the underlying intuition driving statistical analysis.

Data Scientist 109

Data Scientist Python Data Science Data Analysis 109

Marktechpost

APRIL 24, 2024

This article lists the top Power BI books one should read in 2024 to deepen their understanding of the tool and leverage it to facilitate informed decision-making. Learn Power BI This book goes through the fundamentals of business intelligence projects, covering the latest features of Power BI.

Business Intelligence 112

Business Intelligence Artificial Intelligence Artificial Intelligence Explainability 112

PyImageSearch

SEPTEMBER 30, 2024

Home Table of Contents Introduction to GitHub Actions for Python Projects Introduction What Is CICD? For Python projects, CI/CD pipelines ensure that your code is consistently integrated and delivered with high quality and reliability. Git is the most commonly used VCS for Python projects, enabling collaboration and version tracking.

Python 98

Python Computer Vision Software Development Automation 98

Mlearning.ai

AUGUST 30, 2023

Let's get started The framework I have used to develop this application is based on Langchain from python, and the models as I mentioned earlier is OpenAI hosted GPT based text-davinci-3 for the story text generation as well as a prompt for image generation supporting the story and Stable diffusion for image generation. apt-get update !apt-get

LLM 52

LLM OpenAI Python AI 52

Dlabs.ai

MARCH 9, 2022

Meaning you’ll have a better understanding of all the mechanisms to make you a more effective data scientist if you read even just a few of these books. Top books for data scientists 1. The key takeaway from the book is to be conscious of uncertainty because of the ever-changing environment, especially in the IT industry.

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Data Scientist Machine Learning Python Data Science 52

Unite.AI

OCTOBER 5, 2023

We recently received an advanced copy of the book “How AI Work: From Sorcery to Science” by Ronald T. I've so far read over 60 books on AI, and while some of them do get repetitive, this book managed to offer a fresh perspective, I enjoyed this book enough to add it to my personal list of the Best Machine Learning & AI Books of All Time.

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Analytics Vidhya

JUNE 22, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction This article aims to explain Convolutional Neural Network and how. The post Building a Convolutional Neural Network Using TensorFlow – Keras appeared first on Analytics Vidhya.

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Convolutional Neural Networks Neural Network Data Science Explainability 400

Dlabs.ai

DECEMBER 9, 2021

But how can you find the best books on NLP? Which is why we’ve prepared our top-ten list of must-read books (and eBooks!) 10 Must-read Books on NLP One quick note before we jump into the list. Some of these books cover more basic NLP elements. Booth The first book in our list focuses on machine learning-based NLP.

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Natural Language Processing Neural Network NLP Deep Learning 59

AWS Machine Learning Blog

JANUARY 25, 2023

Model explainability refers to the process of relating the prediction of a machine learning (ML) model to the input feature values of an instance in humanly understandable terms. This field is often referred to as explainable artificial intelligence (XAI). In this post, we illustrate the use of Clarify for explaining NLP models.

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Explainability Natural Language Processing Algorithm Machine Learning 77

Analytics Vidhya

JULY 16, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction. This article will seek to explain and explore an introduction. The post An Introduction to Computer Vision With OpenCV appeared first on Analytics Vidhya.

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Computer Vision Explainability Data Science Python 348

Heartbeat

SEPTEMBER 7, 2023

In the ever-evolving landscape of machine learning and artificial intelligence, understanding and explaining the decisions made by models have become paramount. Enter Comet , that streamlines the model development process and strongly emphasizes model interpretability and explainability. Why Does It Matter?

Explainability 52

Explainability Machine Learning Data Scientist Deep Learning 52

Analytics Vidhya

JUNE 18, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon This article explains the problem of exploding and vanishing gradients while. The post The Challenge of Vanishing/Exploding Gradients in Deep Neural Networks appeared first on Analytics Vidhya.

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Neural Network Explainability Data Science Algorithm 329

Analytics Vidhya

JULY 22, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In one of my previous articles, I have explained the. The post Let’s Unfold the Mystery of Different Probability Distributions! appeared first on Analytics Vidhya.

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Explainability Data Science Python 291

Analytics Vidhya

JUNE 1, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In this article, I’m gonna explain about DBSCAN algorithm. The post Understand The DBSCAN Clustering Algorithm! appeared first on Analytics Vidhya.

Algorithm 298

Algorithm Explainability Data Science ML 298

Analytics Vidhya

JUNE 20, 2021

ArticleVideo Book This article was published as part of the Data science Blogathon. In this post, we will explain the bias-variance tradeoff in machine. The post How to get the most out of Bias-Variance Tradeoff? appeared first on Analytics Vidhya.

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Explainability Data Science Python Machine Learning 288

Analytics Vidhya

JUNE 22, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview In this blog, I will be briefly explaining the concepts. The post MLOps – Operationalizing Machine Learning Models in Production appeared first on Analytics Vidhya.

Machine Learning 269

Machine Learning Explainability Data Science Python 269

Towards AI

OCTOBER 10, 2024

The book is grounded in ‘timeless principles’ that remain relevant despite ongoing developments in the LLM field. But beyond that, we believe that certain techniques discussed in the book, such as model distillation, are becoming a foundation for practitioners and companies working with LMs. Grab your copy from your local Amazon page!

AI 110

AI Machine Learning AI Computer Vision 110

Towards AI

JULY 18, 2024

The second is on Generative AI and explains the latest papers related to Generative AI. 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. AI poll of the week!

Computer Vision 97

Computer Vision Chatbots LLM Explainability 97

Towards AI

AUGUST 8, 2024

Take advantage of the current deal offered by Amazon (depending on location) to get our recent book, “Building LLMs for Production,” with 30% off right now! Get the book now at 30% off! Featured Community post from the Discord Arwmoffat just released Manifest, a tool that lets you write a Python function and have an LLM execute it.

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Neural Network Metadata LLM Explainability 89

Towards AI

NOVEMBER 7, 2024

— Louis-François Bouchard, Towards AI Co-founder & Head of Community If you missed last week’s big update, here’s a quick reminder that Building LLMs for Production (second edition) is now available as an e-book at an exclusive price on Towards AI Academy! If you are available this month, connect in the thread! Meme of the week!

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Black Box AI AI AI Machine Learning 98

Viso.ai

MARCH 19, 2024

To learn more, book a demo with the viso.ai Here is a quick, practical guide on how you can get started experimenting with Grounded-SAM: Setting Up Grounded Segment Anything Step-by-Step: Environment Preparation: Ensure Python 3.8+ The post Grounded-SAM Explained: A New Image Segmentation Paradigm? is installed.

Explainability 52

Explainability Computer Vision ChatGPT Machine Learning 52

Analytics Vidhya

JUNE 22, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: This article aims to explain the concepts of Natural Language. The post Natural Language Processing – Sentiment Analysis using LSTM appeared first on Analytics Vidhya.

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Natural Language Processing Data Science Explainability NLP 218

PyImageSearch

SEPTEMBER 23, 2024

Home Table of Contents Deploying a Vision Transformer Deep Learning Model with FastAPI in Python What Is FastAPI? FastAPI is a modern web framework for building APIs with Python, designed to be both simple and highly performant. The tests were run in a Python 3.9 Testing main.py Testing main.py That’s not the case.

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Deep Learning Python Computer Vision Software Development 60

Towards AI

MAY 30, 2024

years along a dozen graduates and experts in the field… our new and first book: Building LLMs for Production! So we’ve gathered everything we worked on and with in this 470-page book all about LLMs and how to work with them. Jerry Liu , Co-founder and CEO of LlamaIndex “This book will help you or your company get the most out of LLMs.

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Prompt Engineer Prompt Engineering LLM AI 83

Pickl AI

MAY 31, 2023

Python is one of the widely used programming languages in the world having its own significance and benefits. Its efficacy may allow kids from a young age to learn Python and explore the field of Data Science. Some of the top Data Science courses for Kids with Python have been mentioned in this blog for you.

Data Science 52

Data Science Python Data Scientist Machine Learning 52

Unite.AI

DECEMBER 22, 2023

” Effective Technical Query : “I'm coding in Python and getting a ‘KeyError' when trying to access a dictionary. AI Output : "The 'KeyError' in your Python code is likely due to attempting to access a key in the dictionary that doesn't exist. User Prompt : "Summarize this 300-page book for me."

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Marktechpost

APRIL 28, 2024

Introduction to Artificial Intelligence with Python This course has been designed by Harvard University and explores the foundational concepts and algorithms of modern artificial intelligence. It teaches how to build generative AI-powered apps and chatbots and deploy AI applications using Python and Flask.

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Artificial Intelligence Artificial Intelligence Prompt Engineer Prompt Engineering 111

Towards AI

MAY 30, 2024

If you’ve enjoyed the list of courses at Gen AI 360, wait for this… Today, I am super excited to finally announce that we at towards_AI have released our first book: Building LLMs for Production. This 470-page book is all about LLMs and how to work with them. Good morning, fellow learners. Get your copy now! Our must-read articles 1.

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NYU Center for Data Science

AUGUST 30, 2024

Zhang explained, “This learning system is simply a stack of associative memories, and thus it is much easier to understand.” This principle explains how the learning process breaks down complex tasks into simpler, independent components. This efficient in-context learning ability might open a new learning paradigm,” Zhang explained.

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Neural Network AI Modeling Explainability Large Language Models 40

Bugra Akyildiz

MARCH 12, 2023

Corrupted fares component in 30% of the sessions severely impacts the model performance leading to a 0.23% decline in the incremental gross booking. pyribs is a bare-bones Python library for quality diversity (QD) optimization.

Explainability 52

Explainability Data Drift Software Engineer Data Science 52

How to Learn Machine Learning

JUNE 28, 2024

The following is a review of the book ‘ Hackers and Painters: Big Ideas from the Computer Age ‘ by Paul Graham, one of the founders of Y Combinator , creator of Viaweb which got sold to Yahoo, and one of the main Hackers of the Lisp programming language. His experience and unique viewpoint shine through in this book.

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Machine Learning Computer Scientist Deep Learning Explainability 64

PyImageSearch

AUGUST 5, 2024

This lesson is the last in a 3-part series on unlocking the power of search: Boolean, semantic, and probabilistic search models explained. To understand PRP in simpler terms, imagine you’re in a library full of books, and you’re looking for books on a specific topic, say “gardening.”

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Algorithm Python Machine Learning Explainability 73

PyImageSearch

JANUARY 1, 2024

Gemini Pro is now available in Bard through the MakerSuite UI and their Python Software Development Kit (SDK). We can see the model has finished running, and the output is shown below: The first image is a panel from the comic book Batman: The Dark Knight Returns, written by Frank Miller and illustrated by Klaus Janson.

Computer Vision 109

Computer Vision Deep Learning Python Explainability 109

Towards AI

MARCH 28, 2024

This week, I’m super excited to announce that we are finally releasing our book, ‘Building AI for Production; Enhancing LLM Abilities and Reliability with Fine-Tuning and RAG,’ where we gathered all our learnings. He is looking for someone with project ideas and a basic understanding of AI and coding (preferably Python).

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Large Language Models Prompt Engineer Prompt Engineering AI 74