Data Science Dojo

SEPTEMBER 8, 2023

We’ll dive into the core concepts of AI, with a special focus on Machine Learning and Deep Learning, highlighting their essential distinctions. Read more –> Data Science vs AI – What is 2023 demand for? Deep Learning, an AI subset, quickly analyzes vast datasets, delivering results in seconds.

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Data Science Dojo

APRIL 11, 2023

Looking for the best tech YouTube channels in 2023? is an education technology company founded by Andrew Ng, a prominent figure in the world of AI and machine learning. Sentdex Sentdex covers a range of topics from data science and machine learning to finance and trading. So why wait? Deeplearning.ai

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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). Transformers, a type of Deep Learning model, have played a crucial role in the rise of LLMs.

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Data Science Dojo

NOVEMBER 15, 2023

Here are nine of the top AI conferences happening in North America in 2023 and 2024 that you must attend: Top AI events and conferences in North America attend in 2023 Big Data and AI TORONTO 2023: Big Data and AI Toronto is the premier event for data professionals in Canada.

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Data Science Dojo

JULY 26, 2023

In this article, we are getting an overview of LLM and some of the best Large Language Models that exist today. In 2023, Artificial Intelligence (AI) is a hot topic, captivating millions of people worldwide. Combining NLP with advanced Machine Learning techniques led to the emergence of powerful Large Language Models (LLMs).

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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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Towards AI

NOVEMBER 19, 2023

Last Updated on November 20, 2023 by Editorial Team Author(s): Amit Chauhan Originally published on Towards AI. Pre-trained models in machine and deep learningPhoto by Arnold Francisca on Unsplash In simple terms, it is a technique to use a trained model on the dataset that is run on a new, different dataset.

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Dataconomy

MARCH 19, 2025

Tensor Processing Units (TPUs) represent a significant leap in hardware specifically designed for machine learning tasks. They are essential for processing large amounts of data efficiently, particularly in deep learning applications. What are Tensor Processing Units (TPUs)?

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Towards AI

FEBRUARY 19, 2023

Last Updated on February 19, 2023 by Editorial Team Source: Image generated by the author with generative AI via Midjourney. Exploring the Top AI Conferences in 2023: A Must-Attend for Researchers and Practitioners Alike TL;DR: Get ahead in the AI game by attending these top conferences in 2023!

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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. These libraries, with their rich functionalities and comprehensive toolsets, have become the backbone of data science and machine learning practices.

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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! In the rapidly expanding field of artificial intelligence (AI), machine learning tools play an instrumental role.

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Flipboard

JUNE 13, 2025

Tina Huang breaks down the core competencies that every aspiring AI professional needs to succeed, from mastering foundational programming languages like Python to understanding the ethical implications of AI-driven systems. Key languages include: Python: Known for its simplicity and versatility, Python is the most widely used language in AI.

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Towards AI

NOVEMBER 19, 2023

Last Updated on November 20, 2023 by Editorial Team Author(s): Mainak Mitra Originally published on Towards AI. Photo by Pietro Jeng on Unsplash Deep learning is a type of machine learning that utilizes layered neural networks to help computers learn from large amounts of data in an automated way, much like humans do.

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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. Location : Online—Learn from anywhere! Cost: The Xavor Bootcamp is free.

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Towards AI

APRIL 5, 2023

Last Updated on April 6, 2023 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. Machine Learning has become a buzzword in the tech industry and beyond, with its applications ranging from image recognition to natural language processing.

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Data Science Dojo

AUGUST 28, 2023

Similar to traditional Machine Learning Ops (MLOps), LLMOps necessitates a collaborative effort involving data scientists, DevOps engineers, and IT professionals. LLMOps MLOps for Large Language Model What are the components of LLMOps? This is done by using a machine learning algorithm to learn the patterns in the data.

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Data Science Dojo

JULY 4, 2023

With a foundation in math, statistics, and programming, learning Generative AI requires dedication and patience as the technology evolves. Generative AI harnesses deep learning algorithms to generate human-like data in response to user input. You can learn the basics of the language in our Learn Python course.

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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. The chart below shows 20 in-demand skills that encompass both NLP fundamentals and broader data science expertise.

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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

JULY 18, 2023

Large Language Models (LLMs) 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

SEPTEMBER 30, 2024

In the mid-1900s, Artificial Intelligence (AI) emerged, taking machine learning and decision automation as its main focus. Presently across many sectors, new advancements in fields such as AI, NLP (natural language processing), robotics, and computer vision are being utilized to boost operational efficiency.

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PyImageSearch

JANUARY 30, 2023

This last blog of the series will cover the benefits, applications, challenges, and tradeoffs of using deep learning in the education sector. To learn about Computer Vision and Deep Learning for Education, just keep reading. As soon as the system adapts to human wants, it automates the learning process accordingly.

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The MLOps Blog

JUNE 27, 2023

As you delve into the landscape of MLOps in 2023, you will find a plethora of tools and platforms that have gained traction and are shaping the way models are developed, deployed, and monitored. Open-source tools have gained significant traction due to their flexibility, community support, and adaptability to various workflows.

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Data Science Dojo

SEPTEMBER 13, 2023

Deep learning And NLP Deep Learning and Natural Language Processing (NLP) are like best friends in the world of computers and language. Deep Learning is when computers use their brains, called neural networks, to learn lots of things from a ton of information. comes GPT-4.

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Dataconomy

APRIL 3, 2025

Chatbots typically do not learn from user interactions and require manual updates to improve their responses. These agents use machine learning algorithms to adapt and learn from user interactions, allowing them to provide personalized responses and handle complex scenarios. Customer support: 29.8%

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NYU Center for Data Science

JULY 28, 2023

The international machine learning educational summit, held from July 8th through the 16th, was organized by AI for Global Goals in collaboration with the University of Oxford Deep Medicine and the Canadian Institute for Advanced Research (CIFAR). Could you talk a bit about the course you taught for OxML 2023?

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Flipboard

JUNE 11, 2025

Whether you’re curious about the future of machine learning or seeking innovative solutions for your field, RAFT offers a glimpse into a smarter, more adaptable AI. After all, what could be more powerful than an AI that learns not just from the past, but also from the present?

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ODSC - Open Data Science

MARCH 28, 2023

Designed to help you identify the sessions that best fit your interests and learning goals, the ODSC Europe 2023 tracks highlight the data science and AI fields that are helping to build the future. You’ll learn about the latest research, topics, and tools from the leading experts in their respective fields.

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Dataconomy

OCTOBER 2, 2024

Kingma, is a prominent figure in the field of artificial intelligence and machine learning. cum laude in machine learning from the University of Amsterdam in 2017. His academic work, particularly in deep learning and generative models, has had a profound impact on the AI community. He earned his Ph.D.

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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. The advent of more powerful personal computers paved the way for the gradual acceptance of deep learning-based methods. In 2023, we witnessed the substantial transformation of AI, marking it as the ‘year of AI.’

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AssemblyAI

MARCH 21, 2023

What are the actual advantages of Graph Machine Learning? And why do Graph Neural Networks matter in 2023? This suggests a potential shift of perspective: graph-structured data provides a general and flexible framework for describing and analyzing any possible set of entities and their mutual interactions.

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Dataconomy

DECEMBER 18, 2024

Agency for International Development estimates the global cost of cybercrime at $8 trillion in 2023 , projected to grow to $27 trillion by 2027. Machine Learning (ML) , a subset of AI, enables systems to learn and improve from data without explicit programming, making decisions based on patterns and large datasets.

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ODSC - Open Data Science

APRIL 28, 2023

Editor’s note: Benjamin Batorsky, PhD is a speaker for ODSC East 2023. If a Natural Language Processing (NLP) system does not have that context, we’d expect it not to get the joke. In this post, I’ll be demonstrating two deep learning approaches to sentiment analysis. deep” architecture).

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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

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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Dataconomy

DECEMBER 4, 2023

Neural processing units (NPUs) are specialized hardware accelerators designed to handle the computationally demanding tasks of artificial intelligence (AI), particularly machine learning and deep learning. In short, NPUs are a critical technology for the development of AI.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. In this chalk talk, learn how to select and use your preferred environment to perform end-to-end ML development steps, from preparing data to building, training, and deploying your ML models.

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