Data Science Dojo

MAY 27, 2024

A visual representation of generative AI – Source: Analytics Vidhya Generative AI is a growing area in machine learning, involving algorithms that create new content on their own. This approach involves techniques where the machine learns from massive amounts of data.

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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?

Machine Learning 75

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Pickl AI

AUGUST 1, 2023

As technology continues to impact how machines operate, Machine Learning has emerged as a powerful tool enabling computers to learn and improve from experience without explicit programming. What is Machine Learning? Types of Machine Learning Model: Machine Learning models can be broadly categorized as: 1.

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Data Science Dojo

AUGUST 30, 2023

Machine learning algorithms Machine learning forms the core of Applied Data Science. It leverages algorithms to parse data, learn from it, and make predictions or decisions without being explicitly programmed. It refers to the automated process of applying machine learning to real-world problems.

Data Science 195

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Analytics Vidhya

DECEMBER 30, 2022

Introduction Natural language processing (NLP) is a field of computer science and artificial intelligence that focuses on the interaction between computers and human (natural) languages. Natural language processing (NLP) is […].

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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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Pickl AI

JULY 26, 2023

The concepts of bias and variance in Machine Learning are two crucial aspects in the realm of statistical modelling and machine learning. Understanding these concepts is paramount for any data scientist, machine learning engineer, or researcher striving to build robust and accurate models.

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ODSC - Open Data Science

AUGUST 15, 2023

Full-Stack Machine Learning for Data Scientists Hugo Bowne-Anderson, PhD | Head of Data Science Evangelism and Marketing | Outerbounds This session will address the issue of how to make the life cycle of a machine learning project a repeatable process. Check out a few of them below.

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ODSC - Open Data Science

SEPTEMBER 18, 2023

A lot goes into learning a new skill, regardless of how in-depth it is. Getting started with natural language processing (NLP) is no exception, as you need to be savvy in machine learning, deep learning, language, and more.

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Pickl AI

NOVEMBER 8, 2023

The Scikit-Learn cheat sheet is a concise reference guide for using Scikit-Learn , a popular Machine Learning library in Python. It offers quick access to key functions and concepts, including data preprocessing, supervised and unsupervised learning techniques, and model evaluation.

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Dataconomy

MARCH 13, 2023

With advances in machine learning, deep learning, and natural language processing, the possibilities of what we can create with AI are limitless. However, the process of creating AI can seem daunting to those who are unfamiliar with the technicalities involved.

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Pickl AI

MAY 24, 2023

This may include for instance in Machine Learning, Data Science, Data Visualisation, image and Data Manipulation. As the collection of Python libraries are huge, you might be faced with the need to make difficult decision on which library to choose from. What to consider when choosing a Python Library?

Data Science 52

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Heartbeat

APRIL 17, 2023

Photo by Shahadat Rahman on Unsplash Introduction Machine learning (ML) focuses on developing algorithms and models that can learn from data and make predictions or decisions. One of the goals of ML is to enable computers to process and analyze data in a way that is similar to how humans process information.

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AssemblyAI

NOVEMBER 9, 2023

In Natural Language Processing (NLP), Text Summarization models automatically shorten documents, papers, podcasts, videos, and more into their most important soundbites. The models are powered by advanced Deep Learning and Machine Learning research. What is Text Summarization for NLP?

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Pickl AI

JULY 14, 2023

Machine Learning and Neural Networks (1990s-2000s): Machine Learning (ML) became a focal point, enabling systems to learn from data and improve performance without explicit programming. Techniques such as decision trees, support vector machines, and neural networks gained popularity.

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Dataconomy

MAY 25, 2023

Simultaneously, artificial intelligence has revolutionized the way machines learn, reason, and make decisions. On the other hand, artificial intelligence is the simulation of human intelligence in machines that are programmed to think and learn like humans.

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Heartbeat

MAY 29, 2023

LLMs are one of the most exciting advancements in natural language processing (NLP). Part 1: Training LLMs Language models have become increasingly important in natural language processing (NLP) applications, and LLMs like GPT-3 have proven to be particularly successful in generating coherent and meaningful text.

Machine Learning 78

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Mlearning.ai

FEBRUARY 15, 2023

Introduction In natural language processing, text categorization tasks are common (NLP). Figure 1 Preprocessing Data preprocessing is an essential step in building a Machine Learning model. We also need to process the utterance_text column in order to reduce text dimensions. Uysal and Gunal, 2014).

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IBM Journey to AI blog

SEPTEMBER 5, 2023

However, more advanced chatbots can leverage artificial intelligence (AI) and natural language processing (NLP) to understand a user’s input and navigate complex human conversations with ease. Essentially, these chatbots operate like a decision tree.

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IBM Journey to AI blog

FEBRUARY 23, 2024

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. NLP translates the user’s words into machine actions, enabling machines to understand and respond to customer inquiries accurately.

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Mlearning.ai

FEBRUARY 6, 2023

One such model could be Neural Prototype Trees [11], a model architecture that makes a decision tree off of “prototypes,” or interpretable representations of patterns in data. The 2019 Conference on Empirical Methods in Natural Language Processing. [8] Attention is not not Explanation (2019). Serrano, N.

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