How to Learn Machine Learning

OCTOBER 10, 2024

The quality of your training data in Machine Learning (ML) can make or break your entire project. This article explores real-world cases where poor-quality data led to model failures, and what we can learn from these experiences. Microsoft’s Tay Chatbot Misfire Microsoft launched an AI chatbot called Tay on Twitter in 2016.

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Mlearning.ai

JANUARY 27, 2023

S094: Computer Vision by Lex Fridman ☆ CNN Architectures by Michigan online ☆ Tensorflow Object Detection by Nicholas Renotte ☆ Detection and Segmentation by Stanford ☆ CNN by Andrej Karpathy (2016) ☆ CNN by Stanford University School of Engineering (2017) ☆ Introduction to Deep Learning and Self-Driving Cars by Lex Fridman [MIT 6.S094]

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Mlearning.ai

MAY 15, 2023

describe() count 9994 mean 2017-04-30 05:17:08.056834048 min 2015-01-03 00:00:00 25% 2016-05-23 00:00:00 50% 2017-06-26 00:00:00 75% 2018-05-14 00:00:00 max 2018-12-30 00:00:00 Name: Order Date, dtype: object Average sales per year df['year'] = df['Order Date'].apply(lambda Yearly average sales. Convert it into a graph.

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ODSC - Open Data Science

AUGUST 16, 2024

In 2016, he was named the “most influential computer scientist” worldwide in Science magazine. Originally posted on OpenDataScience.com Read more data science articles on OpenDataScience.com , including tutorials and guides from beginner to advanced levels! You can listen on Spotify , Apple , and SoundCloud.To

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Dataconomy

AUGUST 2, 2024

NEAR Protocol incorporates AI and ML into platform systems, where smart contract deployment, network optimization, and security monitoring are performed automatically. The opinions expressed in this article are those of the author. It lessens development costs and enhances the usability of a single platform.

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AWS Machine Learning Blog

APRIL 18, 2023

JumpStart helps you quickly and easily get started with machine learning (ML) and provides a set of solutions for the most common use cases that can be trained and deployed readily with just a few steps. Defining hyperparameters involves setting the values for various parameters used during the training process of an ML model.

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ML Review

JUNE 4, 2018

Source : Britz (2016)[ 62 ] CNNs can encode abstract features from images. Figure 14 : Beam search example Source : Geeky is Awesome (2016)[ 66 ] For example, at the first word prediction output step, a higher probability sentence might be outputted overall by choosing the word with a lower probability than the word with the highest.

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DagsHub

JULY 25, 2024

This guarantees businesses can fully utilize deep learning in their AI and ML initiatives. You can make more informed judgments about your AI and ML initiatives if you know these platforms' features, applications, and use cases. Performance and Scalability Consider the platform's training speed and inference efficiency.

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ODSC - Open Data Science

SEPTEMBER 22, 2023

Rama Akkiraju | VP AI/ML for IT | NVIDIA Rama is a multi-award-winning, and industry-recognized Artificial Intelligence (AI) leader with a proven track record of delivering enterprise-grade innovative products to market by building and leading high-performance engineering teams. Army’s first deployment of 3G and 4G networks.

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Hacker News

FEBRUARY 3, 2023

In time, these misapprehensions would become cursed articles of faith: CPUs get faster every year [ narrator: they do not ] Organisations can manage these complex stacks [ narrator: they cannot ] All of this was falsified by 2016 , but nobody wanted to turn on the house lights while the JS party was in full swing.

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Google Research AI blog

JANUARY 18, 2023

Please keep your eye on this space and look for the title “Google Research, 2022 & Beyond” for more articles in the series. Language Models The progress on larger and more powerful language models has been one of the most exciting areas of machine learning (ML) research over the last decade.

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Mlearning.ai

FEBRUARY 11, 2023

A Simple Step-to-Step Guide to Chi-Square Tests in Python Introduction In our last article , we used the t-test. Photo by Mikhail Nilov on Pixels Overview In this article, we will provide a step-to-step guide on how to perform Chi-Square tests in Python. This article will cover the following topics: What is a Chi-Square Test?

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ML Review

FEBRUARY 26, 2018

Original article by Zhou Wei, Chen Haiqing) Alibaba Tech First hand, detailed, and in-depth information about Alibaba’s latest technology. 2016 [6] Li J, Monroe W, Ritter A, et al. Follow us : www.facebook.com/AlibabaTechnology References: [1]: Huang P S, He X, Gao J, et al. 5] Mnih V, Badia A P, Mirza M, et al.

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Dataconomy

SEPTEMBER 25, 2023

AI and ML manage to touch our business life with AP automation systems. Finally, some advanced AP automation solutions leverage artificial intelligence (AI) and machine learning (ML) technologies to improve invoice processing accuracy, detect fraudulent activity, and predict future spend patterns.

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How to Learn Machine Learning

DECEMBER 4, 2022

In 2016, Google released an open-source software called AutoML. Finally, machine learning (ML) is also being used to write code. ML is a type of AI that allows systems to learn from data and improve their performance over time. This means that, as more data is fed into an ML system, the system will become better at writing code.

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Dataconomy

APRIL 18, 2023

In this article, we’ll explore some of the fundamental concepts in artificial intelligence, from supervised and unsupervised learning to bias and fairness in AI. AlphaGo , the AI program that defeated the world champion at the game of Go in 2016.

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O'Reilly Media

APRIL 23, 2024

Since launching its Marketplace advertising business in 2016, Amazon has chosen to become a “pay to play” platform where the top results are those that are most profitable for the company. Cory Doctorow calls this the “enshittification” of Big Tech platforms. Let’s not wait till the robber barons are back. Available at: [link].

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AWS Machine Learning Blog

APRIL 18, 2023

JumpStart helps you quickly and easily get started with machine learning (ML) and provides a set of solutions for the most common use cases that can be trained and deployed readily with just a few steps. Defining hyperparameters involves setting the values for various parameters used during the training process of an ML model.

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AWS Machine Learning Blog

NOVEMBER 21, 2023

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from any document or image. AnalyzeDocument Layout is a new feature that allows customers to automatically extract layout elements such as paragraphs, titles, subtitles, headers, footers, and more from documents.

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Mlearning.ai

JULY 2, 2023

The Art of Forecasting in the Retail Industry Part I : Exploratory Data Analysis & Time Series Analysis In this article, I will conduct exploratory data analysis and time series analysis using a dataset consisting of product sales in different categories from a store in the US between 2015 and 2018.

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Mlearning.ai

JULY 9, 2023

⏱️Performance benchmarking Let’s try it on Kaggle competition dataset based on the 2016 NYC Yellow Cab trip record data and see the numbers using different libraries. GitHub - debnsuma/pycon_polars101 GitHub - ddotta/awesome-polars: A curated list of Polars talks, tools, examples & articles. pip isntall pandas # pandas==2.0.3 %pip

Data Analysis 52

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Heartbeat

JUNE 14, 2023

Conclusion In this article, we introduced the concept of calibration in deep neural networks. Editorially independent, Heartbeat is sponsored and published by Comet, an MLOps platform that enables data scientists & ML teams to track, compare, explain, & optimize their experiments. Eighth JPL Airborne Geoscience Workshop.

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Mlearning.ai

FEBRUARY 16, 2023

A Detailed Tutorial of Stock Trading Using FinRL In this series, we will show an integrated process of how to use deep reinforcement learning to do quantitative trading, referring to the article Practical deep reinforcement learning approach for stock trading [1].

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Heartbeat

FEBRUARY 2, 2024

Photo by Luke Chesser on Unsplash This article provides a comprehensive exploration of Visual Question Answering (VQA) datasets, highlighting current challenges and proposing recommendations for future enhancements. Emails: dorarad@cs.stanford.edu (Drew A. Hudson), manning@cs.stanford.edu (Christopher D. Dataset Website: visualreasoning.net.

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DagsHub

DECEMBER 16, 2024

In this article, we will explore the most popular methods for evaluating classification models, focus on strategies to overcome some of these challenges, and outline best practices to keep in mind when working with classifiers. False positives might result in unhappy customers and eventually lead to churn. Müller, A. C., & Guido, S.

Machine Learning 52

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Mlearning.ai

MARCH 9, 2023

In this article, we investigate the robustness of the Markov Blanket Discovery (MBD) approach to adversarial attacks in image segmentation, aiming to contribute to the development of more reliable and secure image segmentation algorithms. 2018; Papernot et al., Towards deep learning models resistant to adversarial attacks. Papernot, N.,

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Mlearning.ai

FEBRUARY 15, 2023

The accuracy of the ML model indicates how many times it was correct overall. Please do follow my page if you gained anything useful from the article. Figure 18 Precision, Recall and F1-Score Precision, Recall and F1-Score were used as the primary metric throughout the assessment to determine the quality of our model. Manning C.

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Snorkel AI

MAY 3, 2023

For example, I’m quoting a news article from just about three months ago, where a Tesla vehicle was reported to crash into a private jet that’s worth $3.5 Believe it or not, this kind of event can happen in real life as well, causing huge consequences. This out-of-distribution detection problem has become very important.

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Snorkel AI

MAY 3, 2023

For example, I’m quoting a news article from just about three months ago, where a Tesla vehicle was reported to crash into a private jet that’s worth $3.5 Believe it or not, this kind of event can happen in real life as well, causing huge consequences. This out-of-distribution detection problem has become very important.

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Dataconomy

MAY 15, 2023

In this article, we will explain CarynAI and take a closer look at the rise of AI girlfriends. In 2016, she began her career in social media by going live on YouNow. With the help of NLP, ML, and CV, these AI girlfriends can grow to understand and appreciate their users’ individual tastes and quirks. What is CarynAI?

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AWS Machine Learning Blog

DECEMBER 4, 2024

Building generative AI applications presents significant challenges for organizations: they require specialized ML expertise, complex infrastructure management, and careful orchestration of multiple services. Prompt 2: Were there any major world events in 2016 affecting the sale of Vegetables?

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The MLOps Blog

JANUARY 26, 2024

TL;DR Feedback integration is crucial for ML models to meet user needs. A robust ML infrastructure gives teams a competitive advantage. I started my ML journey as an analyst back in 2016. Mailchimp’s ML Platform: genesis, challenges, and objectives Mailchimp is a 20-year-old bootstrapped email marketing company.

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AWS Machine Learning Blog

OCTOBER 10, 2023

Launched in 2021, Amazon SageMaker Canvas is a visual, point-and-click service that allows business analysts and citizen data scientists to use ready-to-use machine learning (ML) models and build custom ML models to generate accurate predictions without the need to write any code.

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AWS Machine Learning Blog

NOVEMBER 11, 2024

Solution overview SageMaker JumpStart is a robust feature within the SageMaker machine learning (ML) environment, offering practitioners a comprehensive hub of publicly available and proprietary foundation models (FMs). Choose Submit to start the training job on a SageMaker ML instance. You can access the Meta Llama 3.2

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