Data Science Dojo

SEPTEMBER 8, 2023

Read more –> Data Science vs AI – What is 2023 demand for? It replaces complex algorithms with neural networks, streamlining and accelerating the predictive process. ML encompasses a range of algorithms that enable computers to learn from data without explicit programming.

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Data Science Dojo

JULY 4, 2023

Generative AI harnesses deep learning algorithms to generate human-like data in response to user input. Their responsibilities can range from building chatbots and smart assistants with natural language processing (NLP) to developing internal algorithms and programs that help automate a company’s processes.

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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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Data Science Dojo

JULY 18, 2023

Popularly known as the brains behind Chat GPT, Large Language Models are advanced artificial intelligence systems capable of understanding and generating human language. They utilize deep learning algorithms and extensive data to grasp language nuances and produce coherent responses.

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Data Science Dojo

JUNE 20, 2023

The buzz surrounding large language models is wreaking havoc and for all the good reason! The game-changing technological marvels have got everyone talking and has to be topping the charts in 2023. What are large language models?

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Data Science Dojo

JULY 2, 2023

Over the past few years, a shift has shifted from Natural Language Processing (NLP) to the emergence of Large Language Models (LLMs). By analyzing diverse data sources and incorporating advanced machine learning algorithms, LLMs enable more informed decision-making, minimizing potential risks.

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ODSC - Open Data Science

FEBRUARY 27, 2023

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. Download this e-book ] 2.

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Data Science Dojo

AUGUST 28, 2023

Development to production workflow LLMs Large Language Models (LLMs) represent a novel category of Natural Language Processing (NLP) models that have significantly surpassed previous benchmarks across a wide spectrum of tasks, including open question-answering, summarization, and the execution of nearly arbitrary instructions.

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Towards AI

MAY 11, 2023

Last Updated on May 18, 2023 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. Table of Contents: Mastering Large Language Models (LLMs) is a compelling endeavor in the realm of Natural Language Processing (NLP).

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Flipboard

APRIL 8, 2023

For those of you as eager to pour through the entire 2023 Artificial Intelligence Index Report as I was, you can dive in here. billion for non-classified AI-specific research for fiscal year 2023, up 26.4 But for a snapshot of the entire set of findings, below are 10 charts capturing essential trends in AI today. percent from 2021.

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Towards AI

DECEMBER 28, 2023

Last Updated on December 30, 2023 by Editorial Team Author(s): Sudhanshu Sharma Originally published on Towards AI. Black box algorithms such as xgboost emerged as the preferred solution for a majority of classification and regression problems. In 2023, we witnessed the substantial transformation of AI, marking it as the ‘year of AI.’

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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. NLTK is appreciated for its broader nature, as it’s able to pull the right algorithm for any job.

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Data Science Dojo

JULY 18, 2023

Popularly known as the brains behind ChatGPT, Large Language Models are advanced artificial intelligence systems capable of understanding and generating human language. They utilize deep learning algorithms and extensive data to grasp language nuances and produce coherent responses.

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Towards AI

AUGUST 10, 2023

Last Updated on August 11, 2023 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. Embarking on a Journey with Large Language Models (LLMs) This member-only story is on us. The world of artificial intelligence has been revolutionized by the emergence of Large Language Models (LLMs).

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ODSC - Open Data Science

AUGUST 29, 2023

Natural Language Processing Engineer Natural Language Processing Engineers who specialize in prompt engineering are linguistic architects when it comes to AI communication. At ODSC West, you’ll experience multiple tracks with Large Language Models, having its own track.

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Towards AI

JUNE 27, 2023

Last Updated on June 27, 2023 by Editorial Team Source: Unsplash This piece dives into the top machine learning developer tools being used by developers — start building! For instance, today’s machine learning tools are pushing the boundaries of natural language processing, allowing AI to comprehend complex patterns and languages.

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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.

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How to Learn Machine Learning

JANUARY 21, 2023

In this article, we’ll explore 7 of the most intriguing AI project ideas for beginners in 2023, providing the perfect opportunity to get your feet wet and jumpstart your AI journey. This can be done using a combination of voice recognition, text-to-speech, and natural language processing to create an interactive experience.

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Towards AI

APRIL 8, 2023

Last Updated on April 11, 2023 by Editorial Team Author(s): Dr. Mandar Karhade, MD. Artificial Intelligence has rapidly become one of the most important fields of science, with applications ranging from image recognition and natural language processing to self-driving cars and robotics. Originally published on Towards AI.

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Google Research AI blog

MARCH 30, 2023

Despite the fundamental importance of data to ML, it’s only now beginning to receive the same level of attention that models and learning algorithms have been enjoying for the past decade. We can begin by recognizing common challenges in dataset creation and developing performance metrics for algorithms that address those challenges.

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How to Learn Machine Learning

JANUARY 21, 2023

Then check out our article on the best Artificial Intelligence trends in 2023! At its core, AI relies on algorithms, data processing, and machine learning to generate insights from vast amounts of data. The key component of AI includes data processing, algorithms, and machine learning.

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Pickl AI

APRIL 19, 2024

Specialise in domains like machine learning or natural language processing to deepen expertise. Neural Networks: Inspired by the human brain’s structure, neural networks are algorithms that allow machines to recognise patterns and make decisions based on input data.

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Data Science Dojo

OCTOBER 27, 2023

Data Science Dojo Large Language Models Bootcamp The Data Science Dojo Large Language Models Bootcamp is a 5-day in-person bootcamp that teaches you everything you need to know about large language models (LLMs) and their real-world applications. Students will start with the basics and gradually delve into advanced topics.

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Dataconomy

FEBRUARY 6, 2024

This popularity is primarily due to the spread of big data and advancements in algorithms. Going back from the times when AI was merely associated with futuristic visions to today’s reality, where ML algorithms seamlessly navigate our daily lives. These technologies have undergone a profound evolution. billion by 2032.

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ODSC - Open Data Science

AUGUST 15, 2023

You’ll get hands-on practice with unsupervised learning techniques, such as K-Means clustering, and classification algorithms like decision trees and random forest. Finally, you’ll explore how to handle missing values and training and validating your models using PySpark.

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Pickl AI

JULY 20, 2023

Top 15 Data Analytics Projects in 2023 for Beginners to Experienced Levels: Data Analytics Projects allow aspirants in the field to display their proficiency to employers and acquire job roles. Use machine learning algorithms to build a fraud detection model and identify potentially fraudulent transactions.

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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?

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Dataconomy

AUGUST 2, 2023

This development was announced on July 31, 2023, by Josh Gerben , a respected trademark lawyer, in a tweet. As of now, the trademark request, which was put forth on July 18, 2023, is being looked at. It points out possible features like “natural language processing, generation, understanding, and analysis.”

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ODSC - Open Data Science

FEBRUARY 15, 2023

One way will be through the use of machine learning algorithms to analyze large medical datasets to make predictions about patient outcomes and disease progression. We’re already seeing this happen with teams across the globe putting together programs using machine learning algorithms to predict diseases such as Parkinson’s.

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Flipboard

JULY 31, 2023

From decoding the complex algorithms to highlighting unique features, this article is your one-stop shop for finding the perfect AI blog writer for you. Similarly, Machine Learning algorithms, with enough data, can make complex decisions, predict outcomes, and even create human-like text. Let’s begin.

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Towards AI

FEBRUARY 14, 2023

It involves using machine learning algorithms to generate new data based on existing data. Generative AI is a subset of artificial intelligence (AI) that involves using algorithms to create new data. Generative AI works by training algorithms on large datasets, which the algorithm can then use to generate new data.

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How to Learn Machine Learning

DECEMBER 2, 2022

As we welcome 2023, AI will only become more evident in our lives. In this blog, we will have a look at 6 AI trends that will dominate the tech charts in 2023. 6 Dominating AI Tech Trends for 2023 AI will be part of our daily lives in one way or another without us being fully aware of the same. So, let’s dive in. #1

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Pickl AI

JANUARY 29, 2024

Data Science extracts insights, while Machine Learning focuses on self-learning algorithms. Key takeaways Data Science lays the groundwork for Machine Learning, providing curated datasets for ML algorithms to learn and make predictions. AI comprises Natural Language Processing, computer vision, and robotics.

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Towards AI

JULY 20, 2023

Last Updated on July 20, 2023 by Editorial Team Author(s): Gaugarin Oliver Originally published on Towards AI. It’s also an area that stands to benefit most from automated or semi-automated machine learning (ML) and natural language processing (NLP) techniques.

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Towards AI

MARCH 20, 2023

Last Updated on March 20, 2023 by Editorial Team Source: Unsplash Top of the most common questions in generative AI answered TL;DR: Buckle up for an exciting ride through the world of Generative AI! How does natural language processing (NLP) relate to generative AI? What is the history and evolution of generative AI?

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Dataconomy

JULY 6, 2023

The complexity of AI algorithms and models poses one of the major challenges in artificial intelligence, as there is still much to be understood about their inner workings ( Image credit ) What are the challenges in artificial intelligence as of 2023? But all these do not mean there are no challenges in artificial intelligence.

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Dataconomy

JULY 10, 2023

Gartner , a leading research and advisory firm, predicts that by 2023, more than a third of large organizations will have analysts practicing decision intelligence, including decision modeling. This is because decision intelligence platforms can use machine learning algorithms to identify patterns and trends in data.

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