Data Science Dojo

OCTOBER 23, 2023

Agents in LangChain This video explains what LangChain agents are and how they can be used to build AI applications. LangChain agents are a type of artificial intelligence that can be used to build AI applications. How can LangChain agents be used to build AI applications? How is AI being used to improve patient care?

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Data Science Dojo

DECEMBER 14, 2023

As we delve into 2023, the realms of Data Science, Artificial Intelligence (AI), and Large Language Models (LLMs) continue to evolve at an unprecedented pace. It could explain how these distributions are used in different machine learning algorithms and why understanding them is crucial for data scientists.

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Data Science Dojo

DECEMBER 14, 2023

It could explain how these distributions are used in different machine learning algorithms and why understanding them is crucial for data scientists. 32 datasets to uplift your skills in data science Data Science Dojo has created an archive of 32 data sets for you to use to practice and improve your skills as a data scientist.

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Pickl AI

APRIL 19, 2024

Summary: Embark on your journey to learn AI from scratch with a structured roadmap. Engage in practical projects, seek mentorship, and join AI communities for support and guidance. Continuous learning is critical to becoming an AI expert, so stay updated with online courses, research papers, and workshops.

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Dataconomy

MAY 6, 2024

Advanced cloud GPU servers are designed to meet the high-performance demands of AI projects. Unlike traditional cloud servers that rely on CPUs, these servers leverage Graphics Processing Units (GPUs) to accelerate computational tasks. Parallel computing is a standout feature. Improved scalability is another benefit.

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Dataconomy

FEBRUARY 6, 2024

With the ability to analyze a vast amount of data in real-time, identify patterns, and detect anomalies, AI/ML-powered tools are enhancing the operational efficiency of businesses in the IT sector. Why does AI/ML deserve to be the future of the modern world? Let’s understand the crucial role of AI/ML in the tech industry.

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Dataconomy

JULY 18, 2023

Real-time quoting with AI is a powerful tool that can significantly advance manufacturing competitiveness. By leveraging artificial intelligence algorithms and data analytics, manufacturers can streamline their quoting process, improve accuracy, and gain a competitive edge in the market.

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Data Science Connect

JULY 28, 2023

The ever-expanding Internet of Things (IoT) ecosystem is set to experience a monumental transformation as Artificial Intelligence (AI) steps into the picture. A recent article on Fagen Wasanni delves into the fascinating world of how AI is revolutionizing the IoT landscape.

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Data Science Dojo

MAY 18, 2023

In March 2023, we had the pleasure of hosting the first edition of the Future of Data and AI conference – an incredible tech extravaganza that drew over 10,000 attendees, featured 30+ industry experts as speakers, and offered 20 engaging panels and tutorials led by the talented team at Data Science Dojo.

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Smart Data Collective

DECEMBER 1, 2022

We should expect to analyze big data in the future as businesses are looking more closely to use it to remain competitive. This post outlines five current trends in big data for 2022 and beyond. Streaming analytics is a new trend in data analysis that has been gaining popularity in the past few years.

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Data Science Dojo

JUNE 1, 2023

Machine Learning with TensorFlow by Google AI This is a beginner-level course that teaches you the basics of machine learning using TensorFlow , a popular machine-learning library. The course covers topics such as data wrangling, feature engineering, and model selection.

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Pickl AI

JANUARY 29, 2024

Summary: In the tech landscape of 2024, the distinctions between Data Science and Machine Learning are pivotal. Data Science extracts insights, while Machine Learning focuses on self-learning algorithms. The collective strength of both forms the groundwork for AI and Data Science, propelling innovation.

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Data Science Dojo

NOVEMBER 10, 2023

With the help of artificial intelligence (AI) and machine learning (ML), data scientists are able to extract valuable insights from this data to inform decision-making and drive business success. Uses of generative AI for data scientists Generative AI can help data scientists with their projects in a number of ways.

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Dataconomy

APRIL 18, 2023

With the rise of AI-generated art and AI-powered chatbots like ChatGPT, it’s clear that artificial intelligence has become a ubiquitous part of our daily lives. These cutting-edge technologies have captured the public imagination, fueling speculation about the future of AI and its impact on society.

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Dataconomy

MAY 25, 2023

These devices collect and exchange data, creating a massive ecosystem that connects the physical and digital worlds. 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.

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Towards AI

AUGUST 25, 2023

Last Updated on August 26, 2023 by Editorial Team Author(s): Jeff Holmes MS MSCS Originally published on Towards AI. How to get started with an AI project Vackground on Unsplash Background Here I am assuming that you have read my previous article on How to Learn AI. In a few sentences, describe the following: What is the goal?

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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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Pickl AI

AUGUST 3, 2023

Introduction to Deep Learning Algorithms: Deep learning algorithms are a subset of machine learning techniques that are designed to automatically learn and represent data in multiple layers of abstraction. This process is known as training, and it relies on large amounts of labeled data.

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ODSC - Open Data Science

AUGUST 31, 2023

AI cannot recreate a designer handbag, but it can give counterfeiters the tools to do so. There is more to counterfeit now with e-commerce and advancing AI technology. AI can also discover criminals creating illegal copies of digital products and identities. Here’s how to fight counterfeit products with AI.

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Towards AI

AUGUST 16, 2023

Last Updated on August 17, 2023 by Editorial Team Author(s): Jeff Holmes MS MSCS Originally published on Towards AI. Jason Leung on Unsplash AI is still considered a relatively new field, so there are really no guides or standards such as SWEBOK. 85% or more of AI projects fail [1][2]. 85% or more of AI projects fail [1][2].

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Smart Data Collective

MARCH 29, 2023

Precedence Research reports that the market for AI in the automotive sector was worth $3.5 The automotive industry has been rapidly transformed by the advent of artificial intelligence (AI). General Overview of the Benefits of AI in the Automotive Sector The market for AI in the automotive industry is booming.

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Dataconomy

JUNE 13, 2023

In this era of information overload, utilizing the power of data and technology has become paramount to drive effective decision-making. Decision intelligence is an innovative approach that blends the realms of data analysis, artificial intelligence, and human judgment to empower businesses with actionable insights.

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Dataconomy

JANUARY 24, 2024

In the upcoming years, Vietnam is projected to identify itself as a significant hub for artificial intelligence (AI) development. It is a result of a dedicated focus on the government’s strategy towards building a digital economy and society, with AI as its core component.

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Data Science Connect

JULY 29, 2023

In an ambitious move to bolster crime-fighting efforts, the police in Noida, India, are harnessing the power of AI facial recognition technology. This article delves into the details of this innovative approach, its potential impact on crime prevention, and the ethical considerations surrounding the use of AI in law enforcement.

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ODSC - Open Data Science

FEBRUARY 27, 2023

AI has come a long way in recent years, and it shows no signs of slowing down. With that in mind, here are my top five AI predictions for 2023: 1. Improved natural language processing : Natural language processing (NLP) is the ability of a computer to understand, interpret, and generate human language.

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ODSC - Open Data Science

MAY 22, 2023

Training AI-Powered Algorithmic Trading with Python Dr. Yves J. Hilpisch | The AI Quant | CEO The Python Quants & The AI Machine, Adjunct Professor of Computational Finance This session will cover the essential Python topics and skills that will enable you to apply AI and Machine Learning (ML) to Algorithmic Trading.

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Dataconomy

JULY 4, 2023

Hyper automation, which uses cutting-edge technologies like AI and ML, can help you automate even the most complex tasks. It’s also about using AI and ML to gain insights into your data and make better decisions. Hyper automation is the game-changer you’ve been looking for.

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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. Feature Extraction Methods Feature extraction involves identifying and selecting the most informative features from the text data.

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Dataconomy

FEBRUARY 24, 2023

Data-driven decision making is becoming more critical than ever before, and two technologies that have captured the imagination of businesses worldwide are artificial intelligence (AI) and augmented intelligence (AU). AI requires large amounts of data to function effectively, which can be expensive to collect and manage.

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Mlearning.ai

MAY 5, 2023

— Ilya Sutskever, chief scientist of OpenAI WE CAN CONNECT ON :| LINKEDIN | TWITTER | MEDIUM | SUBSTACK | In recent years, there has been a great deal of buzz surrounding large language models, or LLMs for short. In the 1980s and 1990s, the field of natural language processing (NLP) began to emerge as a distinct area of research within AI.

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Pickl AI

OCTOBER 18, 2023

How to Scale Your Data Quality Operations with AI and ML: In the fast-paced digital landscape of today, data has become the cornerstone of success for organizations across the globe. Every day, companies generate and collect vast amounts of data, ranging from customer information to market trends.

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Data Science Connect

JULY 28, 2023

In the ever-expanding landscape of artificial intelligence, language models have emerged as one of the most powerful tools for data scientists and enterprises. have revolutionized natural language processing (NLP) tasks, enabling machines to understand and generate human-like text.

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Data Science Dojo

MAY 16, 2023

Assists firms in identifying and refining their target market using data points and provides valuable insights. The algorithm helps find inactive customers through patterns and find reasons along with future predictions of people who might stop buying too. How can data science help in driving sales growth?

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Dataconomy

AUGUST 23, 2023

Yes, AI is already more integrated into our lives than we think. The rapid advancement of technology has given rise to one of the most groundbreaking innovations of our time: artificial intelligence (AI). As the technology of the future, AI, brings us step by step closer to a world that we once had difficulty even imagining.

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Data Science Connect

JULY 23, 2023

In a groundbreaking development that has ignited debates in the world of intellectual property, an AI inventor has been granted patents for its original creations. Data scientists and legal experts are closely monitoring the implications of this landmark shift in the intellectual property landscape.

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Data Science Connect

JULY 25, 2023

In the rapidly evolving world of Artificial Intelligence (AI), the need for balanced and thoughtful regulation has become increasingly evident. A recent opinion piece on LiveMint explores this very topic and highlights the critical aspects that need to be considered while regulating AI technologies.

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