Data Science Blog

MAY 22, 2023

Vektor-Datenbanken sind ein weiterer Typ von Datenbank, die unter Einsatz von AI (Deep Learning, n-grams, …) Wissen in Vektoren übersetzen und damit vergleichbarer und wieder auffindbarer machen. der k-Nächste-Nachbarn -Prädiktionsalgorithmus (Regression/Klassifikation) oder K-Means-Clustering.

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Mlearning.ai

APRIL 10, 2023

How this machine learning model has become a sustainable and reliable solution for edge devices in an industrial network An Introduction Clustering (cluster analysis - CA) and classification are two important tasks that occur in our daily lives. Thus, this type of task is very important for exploratory data analysis.

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Flipboard

JUNE 20, 2023

Machine learning (ML) engineers have traditionally focused on striking a balance between model training and deployment cost vs. performance. 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.

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Mlearning.ai

APRIL 1, 2023

NLP A Comprehensive Guide to Word2Vec, Doc2Vec, and Top2Vec for Natural Language Processing In recent years, the field of natural language processing (NLP) has seen tremendous growth, and one of the most significant developments has been the advent of word embedding techniques.

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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. In a change from last year, there’s also a higher demand for those with data analysis skills as well.

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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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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. Before that, he worked on developing machine learning methods for fraud detection for Amazon Fraud Detector.

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Smart Data Collective

JUNE 4, 2021

Basics of Machine Learning. Machine learning is the science of building models automatically. Whereas in machine learning, the algorithm understands the data and creates the logic. Whereas in machine learning, the algorithm understands the data and creates the logic. Semi-Supervised Learning.

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ODSC - Open Data Science

JUNE 7, 2023

Bilokon | Visiting Lecturer, CEO and Founder | Imperial College London, Thalesians Ltd Apache Kafka for Real-Time Machine Learning Without a Data Lake: Kai Waehner | Global Field CTO, Author, International Speaker Semantic Analysis and Procedural Language Understanding in the Era of Large Language Models: Dr. Gözde Gül Şahin | Assistant Professor, (..)

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ODSC - Open Data Science

AUGUST 15, 2023

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. Check out a few of them below.

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Pickl AI

NOVEMBER 8, 2023

The Scikit-Learn cheat sheet is a concise reference guide for using Scikit-Learn , a popular Machine Learning library in Python. It offers quick access to key functions and concepts, including data preprocessing, supervised and unsupervised learning techniques, and model evaluation.

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Dataconomy

MARCH 13, 2023

With advances in machine learning, deep learning, and natural language processing, the possibilities of what we can create with AI are limitless. However, the process of creating AI can seem daunting to those who are unfamiliar with the technicalities involved.

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Towards AI

MAY 3, 2023

Solving Machine Learning Tasks with MLCoPilot: Harnessing Human Expertise for Success Many of us have made use of large language models (LLMs) like ChatGPT to generate not only text and images but also code, including machine learning code. This is where ML CoPilot enters the scene.

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Dataconomy

MAY 25, 2023

Simultaneously, artificial intelligence has revolutionized the way machines learn, reason, and make decisions. On the other hand, artificial intelligence is the simulation of human intelligence in machines that are programmed to think and learn like humans.

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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?

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AWS Machine Learning Blog

APRIL 19, 2023

The DJL is a deep learning framework built from the ground up to support users of Java and JVM languages like Scala, Kotlin, and Clojure. The DJL is a deep learning framework built from the ground up to support users of Java and JVM languages like Scala, Kotlin, and Clojure.

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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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Pickl AI

JULY 18, 2023

AI Engineers focus primarily on implementing and deploying AI models and algorithms, working closely with data scientists and machine learning experts. Model Selection and Optimization Identifying appropriate machine learning models and techniques, fine-tuning parameters, and optimizing the performance of AI systems.

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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. Python Functionality: Python is a versatile programming language known for its simplicity and readability.

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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. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other? Machine learning is a subset of AI.

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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. ImageNet).

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Data Science Blog

FEBRUARY 23, 2023

1, Data is the new oil, but labeled data might be closer to it Even though we have been in the 3rd AI boom and machine learning is showing concrete effectiveness at a commercial level, after the first two AI booms we are facing a problem: lack of labeled data or data themselves. Labeled data might be also like uranium.

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IBM Journey to AI blog

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. What is machine learning?

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Pickl AI

JULY 18, 2023

By understanding statistical concepts, machine learning algorithms, and data visualization techniques, you can derive actionable insights from data and help businesses optimize processes, identify trends, and drive strategic decision-making. If development is part of your skills, Computer Science is the field for you.

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ODSC - Open Data Science

JANUARY 29, 2024

Think of them as architects of language-driven AI. They design intricate sequences of prompts, leveraging their knowledge of AI, machine learning, and data science to guide powerful LLMs (Large Language Models) towards complex tasks. NLP skills have long been essential for dealing with textual data.

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Hacker News

NOVEMBER 15, 2023

That’s when researchers in information retrieval prototyped what they called question-answering systems, apps that use natural language processing ( NLP ) to access text, initially in narrow topics such as baseball. The concepts behind this kind of text mining have remained fairly constant over the years.

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AWS Machine Learning Blog

AUGUST 14, 2023

Amazon SageMaker JumpStart is a machine learning (ML) hub offering algorithms, models, and ML solutions. The BloomZ 176B model, one of the largest publicly available models, is a state-of-the-art instruction-tuned model that can perform various in-context few-shot learning and zero-shot learning NLP tasks.

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AWS Machine Learning Blog

MAY 2, 2023

JumpStart is a machine learning (ML) hub that can help you accelerate your ML journey. JumpStart provides many pre-trained language models called foundation models that can help you perform tasks such as article summarization, question answering, and conversation generation and image generation.

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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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Mlearning.ai

DECEMBER 13, 2023

Mastering Deep Learning and AI Interview Questions: What You Need to Know Image created by the author on Canva Knowledge is power, but enthusiasm pulls the switch.” Ever wondered what it takes to excel in deep learning interviews? Explain how you would implement transfer learning in a deep learning model.

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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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AWS Machine Learning Blog

MAY 25, 2023

This will create all the necessary infrastructure resources needed for this solution: SageMaker endpoints for the LLMs OpenSearch Service cluster API Gateway Lambda function SageMaker Notebook IAM roles Run the data_ingestion_to_vectordb.ipynb notebook in the SageMaker notebook to ingest data from SageMaker docs into an OpenSearch Service index.

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Mlearning.ai

JUNE 23, 2023

Options (Free vs Paid) Closing Introduction In today’s increasingly globalized world, the ability to communicate in multiple languages has become a highly valuable skill. Language Models (LLMs) have revolutionized the field of natural language processing, bringing unprecedented advancements in understanding and generating human-like text.

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AWS Machine Learning Blog

JANUARY 17, 2023

Amazon SageMaker JumpStart is the Machine Learning (ML) hub of SageMaker providing pre-trained, publicly available models for a wide range of problem types to help you get started with machine learning. He focuses on developing scalable machine learning algorithms.

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AWS Machine Learning Blog

APRIL 1, 2024

Machine learning (ML) research has proven that large language models (LLMs) trained with significantly large datasets result in better model quality. Distributed model training requires a cluster of worker nodes that can scale. The following figure shows how FSDP works for two data parallel processes.

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ODSC - Open Data Science

APRIL 21, 2023

With its applications in creativity, automation, business, advancements in NLP, and deep learning, the technology isn’t only opening new doors, but igniting the public imagination. 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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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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