Mlearning.ai

APRIL 4, 2023

Unlock the Power of Deep Learning in Finance with These Essential Reads Continue reading on MLearning.ai »

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Dataconomy

MAY 2, 2023

The machine learning systems developed by Machine Learning Engineers are crucial components used across various big data jobs in the data processing pipeline. Additionally, Machine Learning Engineers are proficient in implementing AI or ML algorithms. Is ML engineering a stressful job?

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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.

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Data Science Dojo

JUNE 14, 2023

Learn how the synergy of AI and ML algorithms in paraphrasing tools is redefining communication through intelligent algorithms that enhance language expression. The most revolutionary technology that enables this is called machine learning. Paraphrasing tools in AI and ML algorithms Machine learning is a subset of AI.

Machine Learning 195

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Data Science Dojo

JUNE 14, 2023

Learn how the synergy of AI and ML algorithms in paraphrasing tools is redefining communication through intelligent algorithms that enhance language expression. The most revolutionary technology that enables this is called machine learning. Paraphrasing tools in AI and ML algorithms Machine learning is a subset of AI.

Machine Learning 195

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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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Mlearning.ai

FEBRUARY 24, 2023

Dive Into Deep Learning — Part1 In this series, I will be sharing with you my summarization of the Dive into deep learning book, I started reading it as a review of what I know about DL and also to explore new concepts I might have missed. The book walks us through an example of predicting house prices.

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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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AWS Machine Learning Blog

NOVEMBER 29, 2024

About the Authors Shreyas Subramanian is a Principal Data Scientist and helps customers by using generative AI and deep learning to solve their business challenges using AWS services. Shreyas has a background in large-scale optimization and ML and in the use of ML and reinforcement learning for accelerating optimization tasks.

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Towards AI

APRIL 7, 2024

Additionally, the elimination of human loop processes has made it possible for AI/ML to construct training data for data annotation and labeling, which has a major influence on geospatial data. This function can be improved by AI and ML, which allow GIS to produce insights, automate procedures, and learn from data.

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O'Reilly Media

OCTOBER 19, 2021

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. What does a modern technology stack for streamlined ML processes look like?

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ODSC - Open Data Science

MARCH 13, 2023

They are experts in machine learning, NLP, deep learning, data engineering, MLOps, and data visualization. Learn more about a few of our ODSC East 2023 instructors, their backgrounds in education, and why they’re fit for imparting their knowledge. He also teaches AI and ML courses at Cornell, NY and Queens University, CA.

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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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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!

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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.

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AWS Machine Learning Blog

JUNE 26, 2024

Capital markets operation teams face numerous challenges throughout the post-trade lifecycle, including delays in trade settlements, booking errors, and inaccurate regulatory reporting. Artificial intelligence and machine learning (AI/ML) technologies can assist capital market organizations overcome these challenges.

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Mlearning.ai

FEBRUARY 26, 2023

Dive Into Deep Learning — Part 2 This is part 2 of my summary of the chapters I read from the dive into deep learning book. Dive Into Deep Learning — Part1 The following sections of the analytic solution talk about optimizing the model and how to calculate the gradients. BECOME a WRITER at MLearning.ai

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AWS Machine Learning Blog

MAY 7, 2024

Hugging Face is an open-source machine learning (ML) platform that provides tools and resources for the development of AI projects. In his current role, he has helped customers achieve their business goals on a variety of ML use cases, ranging from setting up MLOps inference pipelines to developing a fraud detection application.

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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

JUNE 15, 2023

Dive into Deep Learning ( D2L.ai ) is an open-source textbook that makes deep learning accessible to everyone. It is a challenging endeavor to have an online book that is continuously kept up to date, written by multiple authors, and available in multiple languages. In this post, we present a solution that D2L.ai

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AWS Machine Learning Blog

OCTOBER 30, 2024

This will deploy a Lambda function (book-hotel-lambda) and a CloudWatch log group ( /lex/book-hotel-bot ) in the us-east-1 Region. This will deploy a Lambda function (book-hotel-lambda) and a CloudWatch log group ( /lex/book-hotel-bot ) in the us-west-2 Region. In the Languages section, choose English (US).

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ODSC - Open Data Science

SEPTEMBER 13, 2024

Each day we had at least one book signing where attendees could meet some of their favorite data science book authors and get their questions answered — and those who showed up early enough, even got their book signed. What’s next? We still have one more big event this year — ODSC West 2024!

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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.

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AWS Machine Learning Blog

JANUARY 9, 2024

To implement the solution, we use SageMaker, a fully managed service to prepare data and build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows. G5 instances are a high-performance GPU-based instances for graphics-intensive applications and ML inference.

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Mlearning.ai

FEBRUARY 16, 2023

How to effectively safeguard your ML experiments Photo by Clément Hélardot on Unsplash Many years ago… I was staring at my screen, scrutinizing every little wiggle on my Tensorboard. Planning machine learning experiments within a fixed timeframe is a logistical nightmare. Your ML experiment will perish in 7 days.

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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.

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PyImageSearch

FEBRUARY 20, 2023

Jump Right To The Downloads Section Learning JAX in 2023: Part 1 — The Ultimate Guide to Accelerating Numerical Computation and Machine Learning ?? Introduction As deep learning practitioners, it can be tough to keep up with all the new developments. Automatic Differentiation is at the very heart of Deep Learning.

Machine Learning 109

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AWS Machine Learning Blog

MARCH 13, 2024

JumpStart is the machine learning (ML) hub of SageMaker that provides access to foundation models in addition to built-in algorithms and end-to-end solution templates to help you quickly get started with ML. This model is deployed using the text-generation-inference (TGI) deep learning container.

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Flipboard

APRIL 17, 2023

Throughout the series, we have covered the theoretical concepts of JAX, and in this post, we will apply those concepts to train a machine learning model. By the end of this tutorial, you will have a solid understanding of how to train a machine learning model using JAX and will be able to apply this knowledge to other ML problems.

Machine Learning 139

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Flipboard

FEBRUARY 16, 2023

In October 2022, we launched Amazon EC2 Trn1 Instances , powered by AWS Trainium , which is the second generation machine learning accelerator designed by AWS. Trn1 instances are purpose built for high-performance deep learning model training while offering up to 50% cost-to-train savings over comparable GPU-based instances.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

For decades, Amazon has pioneered and innovated machine learning (ML), bringing delightful experiences to its customers. From the earliest days, Amazon has used ML for various use cases such as book recommendations, search, and fraud detection. James Park is a Solutions Architect at Amazon Web Services.

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The MLOps Blog

OCTOBER 3, 2023

This article was originally an episode of the ML Platform Podcast , a show where Piotr Niedźwiedź and Aurimas Griciūnas, together with ML platform professionals, discuss design choices, best practices, example tool stacks, and real-world learnings from some of the best ML platform professionals. I really enjoyed it.

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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. Complex ML problems can only be solved in neural networks with many layers. No, no, no!

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AWS Machine Learning Blog

OCTOBER 11, 2023

His expertise lies in Deep Learning in the domains of Natural Language Processing (NLP) and Computer Vision. Abhi assists customers in deploying high-performance machine learning models efficiently within the AWS ecosystem. He focuses on Deep learning including NLP and Computer Vision domains.

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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.

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AWS Machine Learning Blog

SEPTEMBER 16, 2024

DNABERT 6 Dataset For this post, we use the gRNA data released by researchers in a paper about gRNA prediction using deep learning. CRISPRon is a CNN based deep learning model. He got interested in this project after reading the book The Code Breaker. 8xlarge instance with a single NVIDIA T4 GPU) transformers-4.34.1

Natural Language Processing 126

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Mlearning.ai

FEBRUARY 4, 2023

We can discover that using the class maximization method on the Vgg16 model If you are interested in learning modern Computer Vision course with deep dive with TensorFlow , Keras and Pytorch , you can find it here : [link] Perfect course for every computer vision enthusiastic Oreily come up with this book .

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