Towards AI

FEBRUARY 20, 2024

Beginner’s Guide to ML-001: Introducing the Wonderful World of Machine Learning: An Introduction Everyone is using mobile or web applications which are based on one or other machine learning algorithms. You might be using machine learning algorithms from everything you see on OTT or everything you shop online.

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Pickl AI

MARCH 26, 2024

Summary: The KNN algorithm in machine learning presents advantages, like simplicity and versatility, and challenges, including computational burden and interpretability issues. Unlocking the Power of KNN Algorithm in Machine Learning Machine learning algorithms are significantly impacting diverse fields.

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Smart Data Collective

FEBRUARY 28, 2023

Here at Smart Data Collective, we have blogged extensively about the changes brought on by AI technology. Over the past few months, many others have started talking about some of the changes that we blogged about for years. Machine learning technology has already had a huge impact on our lives in many ways.

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Data Science Dojo

FEBRUARY 2, 2024

In this blog, we’re diving into a new approach that promises not just to shake things up but to guarantee top-notch results. An example illustrating rank-based encoding – Source: ResearchGate In the vast world of machine learning , getting your data ready is like laying the groundwork for success.

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Defined.ai blog

AUGUST 30, 2023

Machines are no longer confined to mere calculations; they now navigate the labyrinth of human language with startling proficiency. What is the Relationship between NLP and Machine Learning? At its core, NLP in machine learning (ML) is where the intricate art of language meets the precision of algorithms.

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Mlearning.ai

MAY 21, 2023

Hey guys, we will see some of the Best and Unique Machine Learning Projects with Source Codes in today’s blog. If you are interested in exploring machine learning and want to dive into practical implementation, working on machine learning projects with source code is an excellent way to start.

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Mlearning.ai

MAY 23, 2023

Hey guys, we will see some of the Best and Unique Machine Learning Projects for final year engineering students in today’s blog. Machine learning has become a transformative technology across various fields, revolutionizing complex problem-solving. final year Machine learning project.

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Iguazio

AUGUST 3, 2023

How can retailers use, grow and optimize their use of data and machine learning? For data scientists tasked with building and training machine learning models for retailers, open and free retail datasets are an important starting point. This blog post is here to help. Get the dataset here.

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IBM Journey to AI blog

JULY 6, 2023

To keep up with the pace of consumer expectations, companies are relying more heavily on machine learning algorithms to make things easier. This blog post will clarify some of the ambiguity. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other?

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IBM Journey to AI blog

OCTOBER 16, 2023

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029.

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AWS Machine Learning Blog

OCTOBER 9, 2023

Machine learning (ML) can analyze large volumes of product reviews and identify patterns, sentiments, and topics discussed. Text analysis allows you to classify text into two or more categories using custom models. The dataset requires a minimum of two categories and 125 rows of text per category.

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Mlearning.ai

JUNE 6, 2023

In today’s blog, we will see some very interesting Python Machine Learning projects with source code. This list will consist of Machine learning projects, Deep Learning Projects, Computer Vision Projects , and all other types of interesting projects with source codes also provided.

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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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Heartbeat

DECEMBER 27, 2023

Photo by Ian Taylor on Unsplash This article will comprehensively create, deploy, and execute machine learning application containers using the Docker tool. It will further explain the various containerization terms and the importance of this technology to the machine learning workflow. Yes, they do, but partially.

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Alation

FEBRUARY 20, 2020

While this requires technology – AI, machine learning, log parsing, natural language processing,metadata management, this technology must be surfaced in a form accessible to business users – the data catalog. The Forrester Wave : Machine Learning Data Catalogs, Q2 2018. A New Market Category.

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Pickl AI

JULY 17, 2023

Machine Learning is a subset of artificial intelligence (AI) that focuses on developing models and algorithms that train the machine to think and work like a human. There are two types of Machine Learning techniques, including supervised and unsupervised learning. What is Unsupervised Machine Learning?

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Heartbeat

JANUARY 29, 2024

Photo by Brett Jordan on Unsplash In the ever-evolving landscape of artificial intelligence and machine learning, researchers and practitioners continuously seek to elevate the capabilities of intelligent systems. Among the myriad breakthroughs in this field, Meta-Learning is pushing the boundaries of machine learning.

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Data Science Dojo

MAY 27, 2024

In this blog, we will explore the details of both approaches and navigate through their differences. A visual representation of generative AI – Source: Analytics Vidhya Generative AI is a growing area in machine learning, involving algorithms that create new content on their own. What is Generative AI?

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Pickl AI

MAY 17, 2023

Machine learning empowers the machine to perform the task autonomously and evolve based on the available data. However, while working on a Machine Learning algorithm , one may come across the problem of underfitting or overfitting. Both these aspects can impact the performance of the Machine Learning model.

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AWS Machine Learning Blog

NOVEMBER 10, 2023

In the recent past, using machine learning (ML) to make predictions, especially for data in the form of text and images, required extensive ML knowledge for creating and tuning of deep learning models. The operations return four categories of document extraction: raw text, forms, tables, and signatures.

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Defined.ai blog

SEPTEMBER 14, 2022

Teaching Through Data The purpose of annotating data is to tell machine learning models exactly what we want them to know. Teaching a machine to learn through annotation can be likened to teaching a toddler shapes and colors using flashcards, where the annotations are the flashcards and annotators are the teacher.

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Mlearning.ai

JANUARY 27, 2023

Save this blog for comprehensive resources for computer vision Source: appen Working in computer vision and deep learning is fantastic because, after every few months, someone comes up with something crazy that completely changes your perspective on what is feasible. ★ Roboflow : [Again !!!!] ★ Roboflow : [Again !!!!]

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AWS Machine Learning Blog

JANUARY 6, 2023

The recently published IDC MarketScape: Asia/Pacific (Excluding Japan) AI Life-Cycle Software Tools and Platforms 2022 Vendor Assessment positions AWS in the Leaders category. AWS is positioned in the Leaders category based on current capabilities. Kimberly Madia is a Principal Product Marketing Manager with AWS Machine Learning.

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Mlearning.ai

JUNE 8, 2023

Meet AI's multitool: Vector embeddings | Google Cloud Blog Embedding applications Recommendation systems (i.e. Instead, it’s the overall patterns of location and distance between vectors that machine learning takes advantage of. Submission Suggestions Embeddings in Machine Learning was originally published in MLearning.ai

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Mlearning.ai

APRIL 6, 2023

⚠ You can solve the below-mentioned questions from this blog ⚠ ✔ What if I am building Low code — No code ML automation tool and I do not have any orchestrator or memory management system ? ▶ Number of Classes : The number of classes or categories in your dataset is an essential consideration when selecting a classification algorithm.

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Heartbeat

MARCH 8, 2023

Text Categorization Text categorization is a machine-learning approach that divides the text into specific categories based on its content. After being trained on a large corpus of data with predefined categories, the model learns to predict the appropriate category based on the text content.

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AWS Machine Learning Blog

DECEMBER 1, 2023

The ability to quickly build and deploy machine learning (ML) models is becoming increasingly important in today’s data-driven world. Choose the target column and the model type will be automatically set as 2 category prediction. About the authors Chida Sadayappan leads Deloitte’s Cloud AI/Machine Learning practice.

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Data Science Dojo

MARCH 8, 2024

This blog delves into a detailed comparison between the two data management techniques. Exploring the traditional vs vector databases debate In comparing the two categories of databases, we must explore a common set of factors to understand the basic differences between them.

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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. Image Recognition aims to assign labels or categories to the entire image based on its content.

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AWS Machine Learning Blog

MARCH 29, 2023

On November 30, 2021, we announced the general availability of Amazon SageMaker Canvas , a visual point-and-click interface that enables business analysts to generate highly accurate machine learning (ML) predictions without having to write a single line of code.

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Data Science Blog

JULY 23, 2023

So while Process Mining can be seen as a subpart of BI while both are using Machine Learning for better analytical results. It could be a curated dataset, a machine learning model, an API that exposes data, a real-time data stream, a data visualization dashboard, or any other data-related asset that provides value to the organization.

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Mlearning.ai

MARCH 19, 2023

Learning to rank is a machine learning technique that trains models to categorise texts, photos, or videos according to their relevance to a query. In this blog, we will look at Learning to Rank, as well as evaluation metrics and optimise functions. Please see the associated Kaggle notebook for the full code.

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AWS Machine Learning Blog

AUGUST 22, 2023

Machine learning (ML) is revolutionizing solutions across industries and driving new forms of insights and intelligence from data. Flower federated learning framework Several open-source frameworks are available for federated learning, such as FATE , Flower , PySyft , OpenFL , FedML , NVFlare , and Tensorflow Federated.

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Google Research AI blog

JULY 11, 2023

Nonetheless, computer architecture research is evolving, with industry and academia turning towards machine learning (ML) optimization to meet stringent domain-specific requirements, such as ML for computer architecture , ML for TinyML acceleration , DNN accelerator datapath , memory controllers , power consumption , security , and privacy.

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AWS Machine Learning Blog

NOVEMBER 26, 2023

Amazon Personalize is a fully managed machine learning (ML) service that makes it effortless for developers to deliver highly personalized user experiences in real time. User A is a frequent buyer and has shopped mostly in the “Beauty & Grooming” and “Jewelry” categories in the past.

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Flipboard

FEBRUARY 7, 2023

But a set of training data released today by machine learning benchmarking organization MLCommons makes the image recognition neural network ResNet more than 50 percent more accurate. The goal is to “make machine learning work for everyone,” says MLCommons executive director David Kanter. You can see the problem below.

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NYU Center for Data Science

JULY 7, 2023

This entree is a part of our Meet the Fellow blog series, which introduces and highlights Faculty Fellows who have recently joined CDS Incoming CDS Faculty Fellow, Yoav Wald Meet Yoav Wald, who will join CDS as a Faculty Fellow this fall. To view all our current faculty fellows, please visit the CDS Faculty Fellow page on our website.

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