Dataconomy

MAY 25, 2023

By leveraging advanced algorithms and machine learning techniques, IoT devices can analyze and interpret data in real-time, enabling them to make informed decisions and take autonomous actions. Let’s explore the fascinating intersection of these two technologies and understand how AI enhances the functionalities of IoT.

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Data Science Dojo

FEBRUARY 3, 2023

In this blog post, we’ll explore five project ideas that can help you build expertise in computer vision, natural language processing (NLP), sales forecasting, cancer detection, and predictive maintenance using Python. One project idea in this area could be to build a facial recognition system using Python and OpenCV.

Data Science 195

Data Science Python Machine Learning Machine Learning 195

Mlearning.ai

APRIL 8, 2023

Charting the evolution of SOTA (State-of-the-art) techniques in NLP (Natural Language Processing) over the years, highlighting the key algorithms, influential figures, and groundbreaking papers that have shaped the field. Evolution of NLP Models To understand the full impact of the above evolutionary process.

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Dataconomy

MARCH 13, 2023

The creation of artificial intelligence (AI) has long been a dream of scientists, engineers, and innovators. With advances in machine learning, deep learning, and natural language processing, the possibilities of what we can create with AI are limitless. How to create an artificial intelligence?

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Dataconomy

JUNE 29, 2023

Python machine learning packages have emerged as the go-to choice for implementing and working with machine learning algorithms. The field of machine learning, known for its algorithmic complexity, has undergone a significant transformation in recent years. Why do you need Python machine learning packages?

Machine Learning 113

Machine Learning Machine Learning Deep Learning Deep Learning 113

Data Science Dojo

JUNE 20, 2023

What are large language models? A large language model, referred to as an LLM, is an advanced machine learning algorithm capable of identifying, condensing, translating, predicting, and generating various forms of text and content using extensive datasets. LLMs have a number of benefits over traditional AI methods.

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Towards AI

FEBRUARY 20, 2024

Last Updated on February 20, 2024 by Editorial Team Author(s): Vaishnavi Seetharama Originally published on Towards AI. 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.

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Machine Learning Machine Learning ML ML 84

Heartbeat

AUGUST 23, 2023

But what if there was a technique to quickly and accurately solve this language puzzle? Enter Natural Language Processing (NLP) and its transformational power. But what if there was a way to unravel this language puzzle swiftly and accurately? Algorithms can automatically detect and extract key items.

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Smart Data Collective

JUNE 4, 2021

Some of the applications of data science are driverless cars, gaming AI, movie recommendations, and shopping recommendations. Data scientists use algorithms for creating data models. Whereas in machine learning, the algorithm understands the data and creates the logic. Clustering (Unsupervised). Reinforcement.

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Data Science Exploratory Data Analysis Machine Learning Machine Learning 105

Dataconomy

JUNE 13, 2023

Decision intelligence is not just about crunching numbers or relying on algorithms; it is about unlocking the true potential of data to make smarter choices and fuel business success. Think of decision intelligence as a synergy between the human mind and cutting-edge algorithms. What is decision intelligence?

Power BI 103

Power BI Artificial Intelligence Artificial Intelligence Data Analysis 103

Pickl AI

AUGUST 1, 2023

Machine Learning models play a crucial role in this process, serving as the backbone for various applications, from image recognition to natural language processing. K-Means Clustering: Used to partition data into ‘k’ clusters based on similarity. regression, classification, clustering).

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Machine Learning Machine Learning Support Vector Machines Decision Trees 52

Towards AI

JUNE 27, 2023

In the rapidly expanding field of artificial intelligence (AI), machine learning tools play an instrumental role. Already a multi-billion-dollar industry, AI is having a profound impact on every aspect of life, business, and society. These tools are becoming increasingly sophisticated, enabling the development of advanced applications.

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Machine Learning Machine Learning ML ML 95

Pickl AI

JULY 18, 2023

The AI domain is expanding and is actively penetrating across different business niches. Companies are actively deploying AI technologies to run their businesses smoothly. At the same time, they are also actively hiring professionals with AI expertise. Who is an AI Architect? from 2023 to 2030. Lakhs to ₹ 56.7

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AI AI Machine Learning Machine Learning 52

Towards AI

APRIL 8, 2024

Author(s): Jimmy Jarjoura Originally published on Towards AI. While numerous techniques have been explored, methods harnessing natural language processing (NLP) have demonstrated strong performance. As the model iterates over the data, it builds vector embeddings for each unique song.

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ODSC - Open Data Science

AUGUST 15, 2023

Advancements in data science and AI are coming at a lightning-fast pace. Full-Stack Machine Learning for Data Scientists Hugo Bowne-Anderson, PhD | Head of Data Science Evangelism and Marketing | Outerbounds This session will address the issue of how to make the life cycle of a machine learning project a repeatable process.

Machine Learning 52

Machine Learning Machine Learning Data Science Data Scientist 52

AWS Machine Learning Blog

OCTOBER 5, 2023

Our high-level training procedure is as follows: for our training environment, we use a multi-instance cluster managed by the SLURM system for distributed training and scheduling under the NeMo framework. He is passionate about applying machine learning, optimization, and generative AI techniques to various real-world problems.

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ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. Companies are finding NLP to be one of the best applications of AI regardless of industry.

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Mlearning.ai

JANUARY 27, 2023

The technique is commonly used in natural language processing, computer vision, and information retrieval. To do this, we can use the Word2Vec function of gensim, which is a popular Python library for natural language processing.

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Natural Language Processing Clustering Algorithm Machine Learning 52

Mlearning.ai

MARCH 6, 2023

A Beginner’s Guide to FAISS, use-cases, Mathematical foundations & implementation FAISS (Facebook AI Similarity Search) is an open-source library developed by Facebook AI Research (FAIR) for high-dimensional data similarity search and clustering.

Clustering 52

Clustering Natural Language Processing Machine Learning Machine Learning 52

Pickl AI

AUGUST 1, 2023

Text mining is also known as text analytics or Natural Language Processing (NLP). It is the process of deriving valuable patterns, trends, and insights from unstructured textual data. Sentiment analysis techniques range from rule-based approaches to more advanced machine learning algorithms.

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Data Analysis Data Analysis Python Support Vector Machines 52

Flipboard

JUNE 20, 2023

For reference, GPT-3, an earlier generation LLM has 175 billion parameters and requires months of non-stop training on a cluster of thousands of accelerated processors. The Carbontracker study estimates that training GPT-3 from scratch may emit up to 85 metric tons of CO2 equivalent, using clusters of specialized hardware accelerators.

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ODSC - Open Data Science

APRIL 21, 2023

Generative AI has the world on fire. That’s why at ODSC East, generative AI will be one of the hot topics to be discussed in our talks, workshops, tutorials, and more. Let’s take a look at what’s in store for you at ODSC East this May 9th-11th and what you’ll learn about generative AI when you attend.

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AI AI Azure Algorithm 52

phData

DECEMBER 7, 2023

A common example is word embeddings in natural language processing. However, the Generative AI space is rapidly evolving, and you may need to experiment with different models to try to improve performance or search relevance. If this is the case, you can find the latest developments on the Hugging Face Leaderboard.

Database 52

Database Natural Language Processing Clustering SQL 52

IBM Journey to AI blog

APRIL 18, 2024

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly. NLP techniques help them parse the nuances of human language, including grammar, syntax and context.

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AI AI Computer Science Computer Science 95

Towards AI

MAY 3, 2023

Last Updated on May 9, 2023 by Editorial Team Author(s): Sriram Parthasarathy Originally published on Towards AI. This code can cover a diverse array of tasks, such as creating a KMeans cluster, in which users input their data and ask ChatGPT to generate the relevant code. But what if LLMs could also engage in a cooperative approach?

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ML ML Machine Learning Machine Learning 81

Mlearning.ai

MAY 23, 2023

Here are a few courses you can check out — AI for Medicine Specialization Natural Language Processing Specialization Generative Adversarial Networks (GANs) Specialization Educational Background A Bachelor’s degree in a quantitative field like computer science, mathematics, statistics, or engineering is often the minimum requirement.

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Data Science Data Scientist Apache Hadoop Machine Learning 52

Pickl AI

JULY 20, 2023

Techniques like regression analysis, time series forecasting, and machine learning algorithms are used to predict customer behavior, sales trends, equipment failure, and more. Use machine learning algorithms to build a fraud detection model and identify potentially fraudulent transactions.

Analytics 40

Analytics Analytics Big Data Big Data 40

Pickl AI

MARCH 13, 2023

INTRODUCTION Machine Learning is a subfield of artificial intelligence that focuses on the development of algorithms and models that allow computers to learn and make predictions or decisions based on data, without being explicitly programmed. The algorithm learns to map the input data to the correct output based on the provided examples.

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Clustering Algorithm Machine Learning Machine Learning 52

AWS Machine Learning Blog

MAY 2, 2023

If the in-memory FAISS doesn’t fit into your large dataset, we provide you with a SageMaker KNN algorithm to perform the semantic search, which also uses FAISS as the underlying searching algorithm. If you have a large dataset, the SageMaker KNN algorithm may provide you with an effective semantic search.

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Algorithm Machine Learning Machine Learning Natural Language Processing 74

AWS Machine Learning Blog

AUGUST 14, 2023

Amazon SageMaker JumpStart is a machine learning (ML) hub offering algorithms, models, and ML solutions. Question answering Context: NLP Cloud was founded in 2021 when the team realized there was no easy way to reliably leverage Natural Language Processing in production. Question: When was NLP Cloud founded?

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AWS Natural Language Processing Machine Learning Machine Learning 71

Dataconomy

FEBRUARY 28, 2023

Artificial intelligence (AI) and machine learning (ML) have become increasingly important in today’s world due to the growth of digitization and the explosion of data available. With this growth comes the need for more advanced algorithms and models to process and analyze this data. What are deep learning models?

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Pickl AI

MAY 10, 2023

Machine Learning is a subset of Artificial Intelligence and Computer Science that makes use of data and algorithms to imitate human learning and improving accuracy. Being an important component of Data Science, the use of statistical methods are crucial in training algorithms in order to make classification. What is Classification?

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Clustering Decision Trees Machine Learning Machine Learning 52

PyImageSearch

MARCH 30, 2023

What is Machine Learning A Closer Look at Machine Learning Machine learning (ML) revolves around creating algorithms and related systems that learn behavior strategies in specific environments using instructions and training data sets.

Machine Learning 56

Machine Learning Machine Learning Deep Learning Deep Learning 56

Pickl AI

MARCH 7, 2024

Applications: It is extensively used for statistical analysis, data visualisation, and machine learning tasks such as regression, classification, and clustering. Recent Advancements: The R community continues to release updates and packages, expanding its capabilities in data visualisation and machine learning algorithms in 2024.

Data Science 52

Data Science Machine Learning Machine Learning Python 52

Dataconomy

JULY 28, 2023

Data preprocessing is a fundamental and essential step in the field of sentiment analysis, a prominent branch of natural language processing (NLP). This unstructured nature poses challenges for direct analysis, as sentiments cannot be easily interpreted by traditional machine learning algorithms without proper preprocessing.

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Pickl AI

NOVEMBER 8, 2023

Model Selection Picking the Right Algorithm Scikit-Learn boasts a variety of Machine Learning algorithms. The cheat sheet helps you select the right one for your specific task, be it regression, classification, or clustering. Can I use Scikit-Learn for natural language processing (NLP)?

Machine Learning 52

Machine Learning Machine Learning Data Science Python 52

The MLOps Blog

JANUARY 25, 2023

Sentiment analysis, commonly referred to as opinion mining/sentiment classification, is the technique of identifying and extracting subjective information from source materials using computational linguistics , text analysis , and natural language processing. positive, negative, neutral).

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