ODSC - Open Data Science

FEBRUARY 10, 2023

8 Potential Technosignatures Found Beyond Our Solar System Thanks to Machine Learning With the aid of machine learning, 8 potential technosignatures have been found around five nearby stars. The team found the new algorithm excelled by organizing the data from telescopes into categories.

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Dataconomy

MAY 29, 2023

This article examines the important connection between QR codes and the domains of artificial intelligence (AI) and machine learning (ML), as well as how it affects the development of predictive analytics. So let’s start with the understanding of QR Codes, Artificial intelligence, and Machine Learning.

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Mlearning.ai

FEBRUARY 17, 2023

A complete explanation of the most widely practical and efficient field, that nowadays has an impact on every industry Photo by Thomas T on Unsplash Machine learning has become one of the most rapidly evolving and popular fields of technology in recent years. In this article, I will cover all of them. It’s a fantastic world, trust me!

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Dataconomy

SEPTEMBER 13, 2023

These labels provide crucial context for machine learning models, enabling them to make informed decisions and predictions. As businesses gather increasingly deep insights into their customers, artificial intelligence (AI) emerges as a powerful ally to turn this data into actionable strategies.

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Dataconomy

NOVEMBER 1, 2018

A clever algorithm that has digested seven decades’ worth of articles in China’s state-run media is now ready to predict its future policies. Supervised learning — the most developed form of Machine. The research design of this “crystal ball” can also be applied to tackling a variety of other problems.

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Heartbeat

OCTOBER 11, 2023

A key component of artificial intelligence is training algorithms to make predictions or judgments based on data. This process is known as machine learning or deep learning. Two of the most well-known subfields of AI are machine learning and deep learning. What is Machine Learning?

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How to Learn Machine Learning

MAY 14, 2023

Embarking on a career as a Machine Learning Engineer has become increasingly popular in recent years. This is because machine learning has evolved into a driving force for various industries such as finance, healthcare, marketing, and many more. The Machine Learning Engineer Career Path 1.

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Dataconomy

MAY 25, 2023

The integration of artificial intelligence in Internet of Things introduces new dimensions of efficiency, automation, and intelligence to our daily lives. Simultaneously, artificial intelligence has revolutionized the way machines learn, reason, and make decisions.

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Smart Data Collective

JUNE 7, 2019

Machine learning is playing a very important role in improving the functionality of task management applications. However, recent advances in applying transfer learning to NLP allows us to train a custom language model in a matter of minutes on a modest GPU, using relatively small datasets,” writes author Euan Wielewski.

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IBM Journey to AI blog

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is machine learning? This post will dive deeper into the nuances of each field.

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Dataconomy

OCTOBER 5, 2023

Artificial intelligence, one of the most talked about topics in today’s technology world, has played a huge role in bringing many things into our lives, especially in the last five years. But does that mean artificial intelligence is perfect? Firstly, data collection is essential.

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Smart Data Collective

SEPTEMBER 24, 2019

Artificial intelligence has been the basis of robotics for several decades. Robots were often programmed with simple algorithms that were made in BASIC or Cobol. They couldn’t adapt, unless the programmers developed more sophisticated artificial intelligence programs to manage them.

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Dataconomy

APRIL 3, 2023

Understanding the basic components of artificial intelligence is crucial for developing and implementing AI technologies. Artificial intelligence, commonly referred to as AI , is the field of computer science that focuses on the development of intelligent machines that can perform tasks that would typically require human intervention.

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Dataconomy

APRIL 3, 2023

Understanding the basic components of artificial intelligence is crucial for developing and implementing AI technologies. Artificial intelligence, commonly referred to as AI , is the field of computer science that focuses on the development of intelligent machines that can perform tasks that would typically require human intervention.

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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. Inability to learn:  RPA cannot learn from past experiences or adapt to new situations without human intervention. What is machine learning (ML)?

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ODSC - Open Data Science

MARCH 8, 2024

Source ) In a lawsuit filed last Thursday night in San Francisco Superior Court, Elon Musk has accused OpenAI, along with its CEO Sam Altman and Microsoft, of reneging on the foundational ethos of the artificial intelligence research company. Do AI video generators dream of San Pedro?

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Dataconomy

JUNE 5, 2023

Regression in machine learning involves understanding the relationship between independent variables or features and a dependent variable or outcome. Machine learning has revolutionized the way we extract insights and make predictions from data. What is regression in machine learning?

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Smart Data Collective

JUNE 4, 2021

Data scientists use algorithms for creating data models. Basics of Machine Learning. Machine learning is the science of building models automatically. It is a branch of artificial intelligence. Whereas in machine learning, the algorithm understands the data and creates the logic.

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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. Inability to learn:  RPA cannot learn from past experiences or adapt to new situations without human intervention. What is machine learning (ML)?

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Becoming Human

AUGUST 15, 2023

Introduction In the world of data science and machine learning, logistic regression is a powerful and widely-used algorithm. Logistic regression is a type of supervised learning algorithm. Conclusion In summary, logistic regression is a simple but effective algorithm for binary classification problems.

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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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Dataconomy

MARCH 14, 2023

In recent years, natural language processing and conversational AI have gained significant attention as technologies that are transforming the way we interact with machines and each other. These fields involve the use of machine learning and artificial intelligence to enable machines to understand, interpret, and generate human language.

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Mlearning.ai

JULY 11, 2023

Deep learning has transformed artificial intelligence, allowing machines to learn and make smart decisions. If you’re interested in exploring deep learning, this step-by-step guide will help you learn the basics and develop the necessary skills. Learn how to fine-tune model parameters effectively.

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phData

AUGUST 24, 2023

However, these models are evolving, with machine learning now playing an essential role in refining and improving the accuracy and efficiency of credit scoring and decisioning. How Does Machine Learning Impact These Models? Below are just some of the advantages provided by incorporating machine learning in credit models.

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Pickl AI

OCTOBER 9, 2023

However, with the emergence of Machine Learning algorithms, the retail industry has seen a revolutionary shift in demand forecasting capabilities. This technology allows computers to learn from historical data, identify patterns, and make data-driven decisions without explicit programming.

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IBM Journey to AI blog

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects.

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Towards AI

MARCH 1, 2023

While many major tech companies are building their own alternative to ChatGPT, we are particularly excited to see open-source alternatives that can make next-generation LLM models more accessible, flexible, and affordable for the machine learning community. on a dedicated capacity.

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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? temperature, salary).

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ODSC - Open Data Science

APRIL 26, 2023

AI algorithms can analyze large data sets containing patient health records and find patterns that can point to a specific disease or condition. Synthetic data and creating better records When creating these AI programs, synthetic data is key to anonymous algorithms since they mimic real-world datasets. But that’s not all.

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Pickl AI

MARCH 6, 2024

Summary: Machine Learning interview questions cover a wide range of topics essential for candidates aiming to secure roles in Data Science and Machine Learning. Employers seek candidates who can demonstrate their understanding of key machine learning algorithms. What is Machine Learning?

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ODSC - Open Data Science

AUGUST 29, 2023

Machine Learning Engineer A Machine Learning Engineer who specializes in prompt engineering is a catalyst for effective AI communication. As NLP integration expands, these specialists play a crucial role in making interactions more seamless, effective, and insightful, steering the future of human-AI communication.

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ODSC - Open Data Science

MARCH 22, 2023

Cleanlab is an open-source software library that helps make this process more efficient (via novel algorithms that automatically detect certain issues in data) and systematic (with better coverage to detect different types of issues). Data-centric AI instead asks how we can systematically engineer better data through algorithms/automation.

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Chatbots Life

APRIL 19, 2024

70% of these executives confirmed that their organizations are currently exploring Generative Artificial Intelligence. Generative Artificial Intelligence investment goals are cost optimization (17%) and enhanced user experience (38%). This technology employs different learning methods during training.

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Pickl AI

JANUARY 12, 2023

Data Science and Machine Learning Bootcamp by Udemy Working professionals can also benefit from the Data Science and Machine Learning Bootcamp by Udemy. Data Science and Machine Learning by Udacity Yet another course that is perfect for working professionals is by Udacity.

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Dataconomy

AUGUST 21, 2023

At its core, a Large Language Model (LLM) is a sophisticated machine learning entity adept at executing a myriad of natural language processing (NLP) activities. LLMs immerse themselves in vast data pools and employ a technique called self-supervised learning. What is LLM in AI? You might ask. So, how does it all work?

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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. While this data holds valuable insights, its unstructured nature makes it difficult for AI algorithms to interpret and learn from it.

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Pickl AI

APRIL 26, 2024

It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques. Statistical Analysis: Learn the Central Limit Theorem, correlation, and basic calculations like mean, median, and mode. The median is the middle value in a sorted list of numbers.

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