Towards AI

JUNE 27, 2023

Last Updated on June 27, 2023 by Editorial Team Source: Unsplash This piece dives into the top machine learning developer tools being used by developers — start building! In the rapidly expanding field of artificial intelligence (AI), machine learning tools play an instrumental role.

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Becoming Human

MAY 11, 2023

Machine learning operations, or MLOps, are the set of practices and tools that aim to streamline and automate the machine learning lifecycle. It covers everything from data preparation and model training to deployment, monitoring, and maintenance. What are MLOps Projects?

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ODSC - Open Data Science

MARCH 13, 2023

Recently, we posted the first article recapping our recent machine learning survey. There, we talked about some of the results, such as what programming languages machine learning practitioners use, what frameworks they use, and what areas of the field they’re interested in. As the chart shows, two major themes emerged.

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Dataconomy

SEPTEMBER 13, 2023

AI annotation jobs are on the rise; naturally, people started asking what exactly is data annotation. AI annotation jobs: What is data annotation? In simple terms, data annotation is the process of labeling various types of content, including text, audio, images, and videos.

Machine Learning 195

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KDnuggets

MARCH 9, 2020

Also: Linear to Logistic Regression, Explained Step by Step; Trends in Machine Learning in 2020; Tokenization and Text Data Preparation with TensorFlow & Keras; The Death of Data Scientists — will AutoML replace them?

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Data Science Dojo

JULY 17, 2023

In recent years, there has been a growing interest in the use of artificial intelligence (AI) for data analysis. AI tools can automate many of the tasks involved in data analysis, and they can also help businesses to discover new insights from their data. It is easy to learn and use, even for beginners.

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Becoming Human

MAY 12, 2023

The use of Artificial Intelligence (AI) has become increasingly prevalent in the modern world, seeing its potential to drastically improve human life in every way possible. AI technology is constantly evolving, allowing machines to become increasingly advanced and capable of carrying out more intricate functions.

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Data Science Dojo

MARCH 7, 2023

These skills include programming languages such as Python and R, statistics and probability, machine learning, data visualization, and data modeling. This includes sourcing, gathering, arranging, processing, and modeling data, as well as being able to analyze large volumes of structured or unstructured data.

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Flipboard

DECEMBER 27, 2023

Presented by SQream The challenges of AI compound as it hurtles forward: demands of data preparation, large data sets and data quality, the time sink of long-running queries, batch processes and more. In this VB Spotlight, William Benton, principal product architect at NVIDIA, and others explain how …

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IBM Data Science in Practice

JANUARY 9, 2024

One groundbreaking technology that has emerged as a game-changer is asset performance management (APM) artificial intelligence (AI). However, embarking on the journey of implementing artificial intelligence (AI) in your asset performance management strategy can be both exciting and daunting.

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Mlearning.ai

JUNE 28, 2023

{This article was written without the assistance or use of AI tools, providing an authentic and insightful exploration of PyCaret} Image by Author ‍In the rapidly evolving realm of data science, the imperative to automate machine learning workflows has become an indispensable requisite for enterprises aiming to outpace their competitors.

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Machine Learning Machine Learning Data Preparation Data Science 52

Pickl AI

JUNE 2, 2023

One of the most popular algorithms in Machine Learning are the Decision Trees that are useful in regression and classification tasks. Decision trees are easy to understand, and implement therefore, making them ideal for beginners who want to explore the field of Machine Learning. What is Decision Tree in Machine Learning?

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Towards AI

AUGUST 16, 2023

Last Updated on August 17, 2023 by Editorial Team Author(s): Jeff Holmes MS MSCS Originally published on Towards AI. This article is intended as an outline of the key differences rather than a comprehensive discussion on the topic of the AI software process. MLOps is the intersection of Machine Learning, DevOps, and Data Engineering.

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Machine Learning Machine Learning AI AI 92

AWS Machine Learning Blog

APRIL 16, 2024

Generative artificial intelligence (AI) is transforming the customer experience in industries across the globe. They’re often used with highly sensitive business data, like personal data, compliance data, operational data, and financial information, to optimize the model’s output.

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Towards AI

AUGUST 25, 2023

Last Updated on August 26, 2023 by Editorial Team Author(s): Jeff Holmes MS MSCS Originally published on Towards AI. Many Discord users are high school and undergraduate college students with no AI/ML or software engineering experience. Describe any data preparation and feature engineering steps that you have done.

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Pickl AI

AUGUST 3, 2023

Introduction to Deep Learning Algorithms: Deep learning algorithms are a subset of machine learning techniques that are designed to automatically learn and represent data in multiple layers of abstraction. Read Blog: How to build a Machine Learning Model?

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DagsHub

MAY 6, 2024

Intro In the rapidly evolving field of machine learning (ML) and artificial intelligence (AI), startups like MACSO are at the forefront of innovation, pushing the boundaries of what's possible with AI on edge devices. About MACSO MACSO is a pioneering technology company specializing in AI for edge computing.

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Data Science Dojo

AUGUST 28, 2023

From data management to model fine-tuning, LLMOps ensures efficiency, scalability, and risk mitigation. As LLMs redefine AI capabilities, mastering LLMOps becomes your compass in this dynamic landscape. The scope of LLMOps within machine learning projects can vary widely, tailored to the specific needs of each project.

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Pickl AI

OCTOBER 17, 2023

Nonetheless, Data Scientists need to be mindful of its limitations and ethical issues. This blog discusses best practices, real-world use cases, security and privacy considerations, and how Data Scientists can use ChatGPT to their full potential. This will enhance the data preparation stage of machine learning.

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Towards AI

AUGUST 16, 2023

Last Updated on August 17, 2023 by Editorial Team Author(s): Jeff Holmes MS MSCS Originally published on Towards AI. Jason Leung on Unsplash AI is still considered a relatively new field, so there are really no guides or standards such as SWEBOK. 85% or more of AI projects fail [1][2]. 85% or more of AI projects fail [1][2].

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Towards AI

AUGUST 24, 2023

Last Updated on August 25, 2023 by Editorial Team Author(s): Jeff Holmes MS MSCS Originally published on Towards AI. I also have a GitHub repo with lots of notes and links to AI/ML articles on various topics LearnAI. I also have a GitHub repo with lots of notes and links to AI/ML articles on various topics LearnAI.

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Women in Big Data

APRIL 30, 2024

in mathematics and is an associate professor at Kansas State University teaching data science, machine learning and autonomous systems. Sridevi’s courses are actually online and include machine learning and autonomous systems which are available in Bachelor’s, Masters, and Certificate degrees. Sridevi holds a Ph.D.

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Pickl AI

JULY 28, 2023

Image Recognition using Machine Learning and MATLAB: With the advent of Machine Learning , it is now possible for computers to recognize and decipher objects, patterns, and other properties in digital photographs.

Machine Learning 52

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Towards AI

JULY 19, 2023

Last Updated on July 19, 2023 by Editorial Team Author(s): Anirudh Chandra Originally published on Towards AI. and reflect the inherent imbalance in the training and testing data; Using a penalized model (instead of a sampling technique like SMOTE) with a simple weighting scheme that is the inverse of a class frequency.

Machine Learning 40

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Smart Data Collective

MAY 13, 2022

trillion on AI by 2030 ? The demand for AI services is growing due to the many powerful benefits it offers. Various applications, from web-based smart assistants to self-driving cars and house-cleaning robots, run with the help of artificial intelligence (AI). AI is undoubtedly a gamechanger for business intelligence.

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AWS Machine Learning Blog

NOVEMBER 27, 2023

Generative artificial intelligence ( generative AI ) models have demonstrated impressive capabilities in generating high-quality text, images, and other content. However, these models require massive amounts of clean, structured training data to reach their full potential. Clean data is important for good model performance.

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Data Preparation AI AI Database 73

Dataconomy

MARCH 27, 2023

Robotic process automation vs machine learning is a common debate in the world of automation and artificial intelligence. The differences between robotic process automation vs machine learning lie in their functionality, purpose, and the level of human intervention required Is RPA artificial intelligence?

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AWS Machine Learning Blog

MAY 23, 2023

With organizations increasingly investing in machine learning (ML), ML adoption has become an integral part of business transformation strategies. However, implementing ML into production comes with various considerations, notably being able to navigate the world of AI safely, strategically, and responsibly.

Machine Learning 74

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AWS Machine Learning Blog

JANUARY 26, 2024

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

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AWS Machine Learning Blog

FEBRUARY 6, 2024

To support overarching pharmacovigilance activities, our pharmaceutical customers want to use the power of machine learning (ML) to automate the adverse event detection from various data sources, such as social media feeds, phone calls, emails, and handwritten notes, and trigger appropriate actions. BioBERT with HPO 0.89

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Towards AI

FEBRUARY 9, 2024

Author(s): John Loewen, PhD Originally published on Towards AI. My methods of using GPT-4 to optimize my data visual workflow For the past 6 months, I have been a heavy daily GPT-4 user. I am most often prompting this LLM for data visualization code and on-the-fly-visuals because it does all these steps very efficiently.

Data Visualization 104

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Dataconomy

MARCH 27, 2023

Robotic process automation vs machine learning is a common debate in the world of automation and artificial intelligence. The differences between robotic process automation vs machine learning lie in their functionality, purpose, and the level of human intervention required Is RPA artificial intelligence?

ML 70

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AWS Machine Learning Blog

NOVEMBER 16, 2023

One of the key drivers of Philips’ innovation strategy is artificial intelligence (AI), which enables the creation of smart and personalized products and services that can improve health outcomes, enhance customer experience, and optimize operational efficiency.

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Dataconomy

JULY 28, 2023

In the digital age, the abundance of textual information available on the internet, particularly on platforms like Twitter, blogs, and e-commerce websites, has led to an exponential growth in unstructured data. Text data is often unstructured, making it challenging to directly apply machine learning algorithms for sentiment analysis.

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AWS Machine Learning Blog

DECEMBER 1, 2023

Launched in 2019, Amazon SageMaker Studio provides one place for all end-to-end machine learning (ML) workflows, from data preparation, building and experimentation, training, hosting, and monitoring. About the Authors Mair Hasco is an AI/ML Specialist for Amazon SageMaker Studio.

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Pickl AI

FEBRUARY 4, 2024

Alteryx’s Capabilities Data Blending: Effortlessly combine data from multiple sources. Predictive Analytics: Leverage machine learning algorithms for accurate predictions. This makes Alteryx an indispensable tool for businesses aiming to glean insights and steer their decisions based on robust data.

Data Preparation 52

Data Preparation Tableau Data Visualization SQL 52

Smart Data Collective

APRIL 5, 2022

They are using tools like Amazon SageMaker to take advantage of more powerful machine learning capabilities. Amazon SageMaker is a hardware accelerator platform that uses cloud-based machine learning technology. IBM Watson Studio is a very popular solution for handling machine learning and data science tasks.

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