Marktechpost

MARCH 31, 2024

Whether you’re a beginner, a seasoned data scientist, or someone interested in leveraging data in your work, our carefully selected list of top data science books for 2024 offers a comprehensive guide. and even some supervised and unsupervised learning methods. The book also provides Python code to explain these concepts.

Data Science 122

Data Science Data Mining Neural Network Machine Learning 122

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.

Neural Network 298

Neural Network Deep Learning Machine Learning AI 298

PyImageSearch

SEPTEMBER 23, 2024

Home Table of Contents Deploying a Vision Transformer Deep Learning Model with FastAPI in Python What Is FastAPI? You’ll learn how to structure your project for efficient model serving, implement robust testing strategies with PyTest, and manage dependencies to ensure a smooth deployment process. Testing main.py Testing main.py

Deep Learning 60

Deep Learning Python Computer Vision Software Development 60

Heartbeat

OCTOBER 18, 2023

Whether finding the perfect movie to watch , discovering a new book, or uncovering hidden gems in a vast online store, recommender systems are pivotal in delivering tailored user experiences. In this article, we embark on a journey to explore the transformative potential of deep learning in revolutionizing recommender systems.

Deep Learning 52

Deep Learning Neural Network Machine Learning Algorithm 52

Viso.ai

MARCH 26, 2024

The introduction of the Transformer model was a significant leap forward for the concept of attention in deep learning. Learn more by booking a demo. Furthermore, attention mechanisms work to enhance the explainability or interpretability of AI models. Vaswani et al. without conventional neural networks.

Deep Learning 52

Deep Learning Computer Vision Neural Network Natural Language Processing 52

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.

Natural Language Processing 59

Natural Language Processing Neural Network NLP Deep Learning 59

Viso.ai

FEBRUARY 8, 2024

introduced deep belief networks (DBNs) in 2006. These deep learning algorithms consist of latent variables and use them to learn underlying patterns within the data. Deep belief networks played a vital role in the growth and evolution of deep learning, but they are rarely ever used today.

Explainability 52

Explainability Neural Network Computer Vision Deep Learning 52

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 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.

Convolutional Neural Networks 395

Convolutional Neural Networks Neural Network Data Science Explainability 395

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.

Data Scientist 52

Data Scientist Machine Learning Python Data Science 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.

Neural Network 329

Neural Network Explainability Data Science Algorithm 329

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.

Explainability 83

Explainability Natural Language Processing Algorithm Machine Learning 83

PyImageSearch

JANUARY 1, 2024

Since our primary objective is to understand the content of the images, we specify our prompt to be: Describe these two images in detail, explain what is happening also mention the book and the author With that done, we can set the temperature to our liking and add any stop sequence. The initial information is accurate.

Computer Vision 105

Computer Vision Deep Learning Python Explainability 105

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.

Machine Learning 64

Machine Learning Computer Scientist Deep Learning Explainability 64

AssemblyAI

NOVEMBER 9, 2023

The models are powered by advanced Deep Learning and Machine Learning research. In Natural Language Processing, or NLP, Text Summarization refers to the process of using Deep Learning and Machine Learning models to synthesize large bodies of texts into their most important parts.

NLP 256

NLP AI Modeling AI AI 256

Towards AI

JULY 11, 2024

It offers exclusive live training, interactive learning experiences, certification programs, books, videos, and more. If you are a subscriber of the platform, you can read it directly on the O’Reilly learning platform or sign up for a 10-day free trial to access the book. Share your feedback in the Discord thread!

Large Language Models 91

Large Language Models Neural Network Explainability LLM 91

Unite.AI

JUNE 22, 2023

When I was 12, they gave me a book for Christmas – Mac Programming for Dummies – and to be honest I read it and didn't really get it. I remember asking them a budgeting question where the answer was effectively, “We haven't run those books. Give us a few weeks.” I was like, a few weeks?!

Large Language Models 325

Large Language Models Machine Learning ChatGPT Deep Learning 325

Flipboard

JUNE 20, 2023

In this guide , we explain the key terms in the field and why they matter. Deep learning Deep learning is a specific type of machine learning used in the most powerful AI systems. Large language models Large language models (LLMs) are AI systems that use deep learning to understand language.

Neural Network 158

Neural Network Deep Learning Machine Learning AI 158

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.

Neural Network 66

Neural Network AI AI Deep Learning 66

Towards AI

DECEMBER 19, 2023

Source: interpretable-ml-book The field of deep learning has grown exponentially and the recent craze about ChatGPT is proof of the same. For example, a deep neural net used for a loan application scorecard might deny a customer, and we will not be able to explain why. arXiv: 2003.07132 where n is the sample size.

Neural Network 107

Neural Network Black Box AI AI Modeling Explainability 107

Viso.ai

MARCH 19, 2024

About Us: We’re the creators of Viso Suite: the end-to-end machine learning infrastructure for enterprises. To learn more, book a demo with the viso.ai The post Grounded-SAM Explained: A New Image Segmentation Paradigm? With Viso Suite, the entire ML pipeline is consolidated into an easy-to-use platform.

Explainability 52

Explainability Computer Vision ChatGPT Machine Learning 52

PyImageSearch

MAY 8, 2023

You could write an algorithm that predicts the sales of comic books, and your model works well and produces high-accuracy predictions, but you need to know why. There has been a recent rise in comic book sales, and you need to figure out why so the company can maintain the sales figures. Disney+ has shows about comic book characters.

Machine Learning 109

Machine Learning Computer Vision Deep Learning Neural Network 109

IBM Journey to AI blog

SEPTEMBER 27, 2023

Large language models (LLMs) are foundation models that use artificial intelligence (AI), deep learning and massive data sets, including websites, articles and books, to generate text, translate between languages and write many types of content.

Large Language Models 310

Large Language Models LLM Explainability Chatbots 310

Towards AI

JULY 23, 2024

Image via proculusacademy There are numerous books, papers, and techniques written on how to ensure a good fit in a model — how to overcome overfitting and how to enhance generalization. The interesting thing about this phenomenon is that even though it has been observed, it isn’t explainable. That is not the subject of this article.

Explainability 103

Explainability Machine Learning Neural Network Algorithm 103

Flipboard

MARCH 13, 2023

High school teachers are learning the same. A ChatGPT-written book report or historical essay may be a breeze to read but could easily contain erroneous facts that the student was too lazy to root out. Most of what we learn has nothing to do with language.” “We We don’t learn that using language at all.

ChatGPT 172

ChatGPT Large Language Models Neural Network Deep Learning 172

Marktechpost

APRIL 28, 2024

The course covers the common terminologies of AI, including neural networks, machine learning, deep learning, etc., Machine Learning for All This course introduces machine learning without needing any programming. AI For Everyone “AI For Everyone” has been designed by DeepLearning.AI

Artificial Intelligence 111

Artificial Intelligence Artificial Intelligence Prompt Engineer Prompt Engineering 111

Towards AI

FEBRUARY 22, 2024

It is intended for anyone with a small programming and machine learning background. All resources listed here are free, except some online courses and books, which are recommended for a better understanding. Mh_aghajany is looking for fellow learners to explore Machine Learning, Deep Learning, and LLM.

Large Language Models 98

Large Language Models Explainability AI AI 98

Heartbeat

MARCH 14, 2023

Some of the methods used for scene interpretation include Convolutional Neural Networks (CNNs) , a deep learning-based methodology, and more conventional computer vision-based techniques like SIFT and SURF. A combination of simulated and real-world data was used to train the system, enabling it to generalize to new objects and tasks.

Computer Vision 97

Computer Vision Robotics Deep Learning Convolutional Neural Networks 97

Mlearning.ai

JUNE 14, 2023

I used this foolproof method of consuming the right information and ended up publishing books , artworks , Podcasts and even an LLM powered consumer facing app ranked #40 on the app store. Transformer Neural Networks — EXPLAINED! Attention is all you need) — YouTube Attention Mechanism: Overview — YouTube Encoder-Decoder Deep dive.

Neural Network 52

Neural Network BERT Large Language Models Natural Language Processing 52

ODSC - Open Data Science

NOVEMBER 21, 2024

ODSC West 2024 is in the history books, and between the speakers, partners, and exhibitors, we have to say that it was our best one yet. On the Reproducibility of Responses by AI Assistants This article explains several reasons why the same prompt might generate different responses for different users or at different times.

Hybrid AI 40

Hybrid AI Data Science Large Language Models Deep Learning 40

Marek Rei

NOVEMBER 4, 2024

They show state-of-the-art results on long-context language modelling, finding a hidden passcode from a 1M token length context, and summarizing 500K length books. BooookScore: A systematic exploration of book-length summarization in the era of LLMs Yapei Chang, Kyle Lo, Tanya Goyal, Mohit Iyyer. UMass Amherst, AllenAI, Princeton.

Machine Learning 80

Machine Learning NLP Large Language Models LLM 80

PyImageSearch

SEPTEMBER 30, 2024

DevMaster explained that CI/CD could transform their chaotic process into a well-oiled machine. Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated? Here you’ll learn how to successfully and confidently apply computer vision to your work, research, and projects.

Python 94

Python Computer Vision Software Development Automation 94

Mlearning.ai

JANUARY 17, 2024

al 600+: Key technological concepts of generative AI 300+: Deep Learning — the core of any generative AI model: Deep learning is a central concept of traditional AI that has been adopted and further developed in generative AI. Deep learning neural network. Image credit: Yang, Jingfeng et.

Generative AI 98

Generative AI Prompt Engineer Prompt Engineering Large Language Models 98

Dlabs.ai

AUGUST 20, 2020

If you’re looking for the best free eBooks related to artificial intelligence, machine learning, or deep learning – this list is for you. Dive into Deep Learning Authors: Aston Zhang, Zack C. Smola The first eBook on our must-read list is a deep-dive into deep learning.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 52

TheSequence

DECEMBER 13, 2023

Quick bio Lewis Tunstall is a Machine Learning Engineer in the research team at Hugging Face and is the co-author of the bestseller “NLP with Transformers” book. I was surprised to learn that a few lines of code could outperform features that had been carefully designed by physicists over many years.

LLM 64

LLM Natural Language Processing Machine Learning Deep Learning 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.” Join the Newsletter!

Algorithm 73

Algorithm Python Machine Learning Explainability 73

IBM Journey to AI blog

AUGUST 1, 2023

It’s the underlying engine that gives generative models the enhanced reasoning and deep learning capabilities that traditional machine learning models lack. Visit the watsonx webpage to learn more The post How foundation models and data stores unlock the business potential of generative AI appeared first on IBM Blog.

Generative AI 189

Generative AI BERT Data Scientist Machine Learning 189