AWS Machine Learning Blog

SEPTEMBER 5, 2023

Conclusion In this post, we showed how our team used AWS Glue and SageMaker to create a scalable supervised learning solution for predictive maintenance. Our model is capable of capturing trends across long-term histories of sensor data and accurately detecting hundreds of equipment failures weeks in advance. The remaining 8.4%

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IBM Journey to AI blog

JULY 6, 2023

These computer science terms are often used interchangeably, but what differences make each a unique technology? To keep up with the pace of consumer expectations, companies are relying more heavily on machine learning algorithms to make things easier. It can ingest unstructured data in its raw form (e.g.,

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Snorkel AI

OCTOBER 31, 2023

The Snorkel papers cover a broad range of topics including fairness, semi-supervised learning, large language models (LLMs), and domain-specific models. Snorkel AI is proud of its roots in the research community and endeavors to remain at the forefront of new scholarship in data-centric AI, programmatic labeling, and foundation models.

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IBM Journey to AI blog

JULY 6, 2023

It processes enormous amounts of data a human wouldn’t be able to work through in a lifetime and evolves as more data is processed. Challenges of data science Across most companies, finding, cleaning and preparing the proper data for analysis can take up to 80% of a data scientist’s day.

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Pickl AI

JANUARY 12, 2023

This Data Science and Machine Learning course encompass all the fundamentals of both these technologies. Thus making it a perfect choice for individuals who are working in this domain and all looking to excel as Data Scientists. Data Science Program for working professionals by Pickl.AI

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Women in Big Data

DECEMBER 13, 2023

The goal of the talk was to learn about the basics of NLP (Natural Language Processing), how NLP is done, what is LLM (Large Language Model), Generative AI and how you can drive your career around it. Computational Linguistics is rule based modeling of natural languages.

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Snorkel AI

MARCH 1, 2023

Foundation models are large AI models trained on enormous quantities of unlabeled data—usually through self-supervised learning. Data scientists can build upon generalized FMs and fine-tune custom versions with domain-specific or task-specific training data. What is self-supervised learning?

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Heartbeat

OCTOBER 25, 2023

Empowering Data Scientists and Machine Learning Engineers in Advancing Biological Research Image from European Bioinformatics Institute Introduction: In biological research, the fusion of biology, computer science, and statistics has given birth to an exciting field called bioinformatics.

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AWS Machine Learning Blog

AUGUST 7, 2023

As opposed to training a model from scratch with task-specific data, which is the usual case for classical supervised learning, LLMs are pre-trained to extract general knowledge from a broad text dataset before being adapted to specific tasks or domains with a much smaller dataset (typically on the order of hundreds of samples).

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Pickl AI

DECEMBER 3, 2024

The UCI Machine Learning Repository is a well-known online resource that houses vast Machine Learning (ML) research and applications datasets. It is a central hub for researchers, data scientists, and Machine Learning practitioners to access real-world data crucial for building, testing, and refining Machine Learning models.

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Pickl AI

APRIL 2, 2024

Data science is the process of extracting the valuable minerals – the insights – that can transform your business. It’s a blend of statistics, computer science, and domain knowledge used to extract knowledge and create solutions from data. Building Your Data Science Team Data science talent is in high demand.

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Pickl AI

APRIL 10, 2023

The focus of this e-learning platform is to build proficiency in Data Science. Also, the course includes core concepts of Machine Learning, Recommendation systems, and others that eventually help you excel as a Data Scientist. E-learning platforms like Pickl.AI Student Go for Data Science Course?

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Pickl AI

JULY 12, 2024

Machine Learning algorithms are trained on large amounts of data, and they can then use that data to make predictions or decisions about new data. There are three main types of Machine Learning: supervised learning, unsupervised learning, and reinforcement learning.

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Pickl AI

JULY 10, 2024

Focus on exploratory Data Analysis and feature engineering. Introduction to core Machine Learning concepts. Ideal starting point for aspiring Data Scientists. AI and Machine Learning courses provide essential skills in Data Analysis, predictive modelling, and AI applications.

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Pickl AI

SEPTEMBER 18, 2024

Their work environments are typically collaborative, involving teamwork with Data Scientists, software engineers, and product managers. Academic Background A strong academic foundation is essential for anyone aspiring to become a Machine Learning Engineer.

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Pickl AI

SEPTEMBER 12, 2024

Data Science is the art and science of extracting valuable information from data. It encompasses data collection, cleaning, analysis, and interpretation to uncover patterns, trends, and insights that can drive decision-making and innovation.

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ODSC - Open Data Science

FEBRUARY 14, 2023

The model was fine-tuned to reduce false, harmful, or biased output using a combination of supervised learning in conjunction to what OpenAI calls Reinforcement Learning with Human Feedback (RLHF), where humans rank potential outputs and a reinforcement learning algorithm rewards the model for generating outputs like those that rank highly.

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Pickl AI

AUGUST 1, 2024

Collaboratio n: Working with data scientists, software engineers, and other stakeholders to integrate Deep Learning solutions into existing systems. Data Quality and Quantity Deep Learning models require large amounts of high-quality, labelled training data to learn effectively.

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Pickl AI

SEPTEMBER 23, 2024

Understanding Data Science Data Science is a multidisciplinary field that uses scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Data Science helps organisations make informed decisions by transforming raw data into valuable information.

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