ODSC - Open Data Science

AUGUST 15, 2023

Advancements in data science and AI are coming at a lightning-fast pace. 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.

Machine Learning 52

Machine Learning Machine Learning Data Science Data Scientist 52

Pickl AI

JULY 14, 2023

Even in the time of pandemic, AI has enabled in providing technical solutions to the people in terms of information inflow. Therefore, AI has been evolving since years now and is currently at its peak of development. AI has been disrupting every industry in the world today and will supposedly make larger swings in the next 5 years.

Artificial Intelligence 52

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Dataconomy

MAY 25, 2023

By harnessing the power of AI in IoT, we can create intelligent ecosystems where devices seamlessly communicate, collaborate, and make intelligent choices to improve our lives. Let’s explore the fascinating intersection of these two technologies and understand how AI enhances the functionalities of IoT.

Internet of Things 160

Internet of Things Artificial Intelligence Artificial Intelligence AI 160

How to Learn Machine Learning

DECEMBER 4, 2022

In recent years, artificial intelligence (AI) has made significant advances in its ability to complete various tasks that were once thought to be exclusive to humans. AI is not yet able to write complex codes as well as a human programmer, but it is becoming increasingly capable of completing this task.

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ODSC - Open Data Science

SEPTEMBER 18, 2023

Getting started with natural language processing (NLP) is no exception, as you need to be savvy in machine learning, deep learning, language, and more. This 7-part course will give you everything you need to get started learning NLP, including ML for NLP, tokenization, and more. Here are some more details.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Dataconomy

MARCH 13, 2023

The creation of artificial intelligence (AI) has long been a dream of scientists, engineers, and innovators. With advances in machine learning, deep learning, and natural language processing, the possibilities of what we can create with AI are limitless. How to create an artificial intelligence?

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Artificial Intelligence Artificial Intelligence Natural Language Processing Algorithm 98

Heartbeat

OCTOBER 11, 2023

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. Deep learning is utilized in many fields, such as robotics, speech recognition, computer vision, and natural language processing.

Deep Learning 52

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Heartbeat

JULY 18, 2023

Source: Author Natural Language Processing (NLP) is a field of study focused on allowing computers to understand and process human language. There are many different NLP techniques and tools available, including the R programming language. keep_active: determines whether to keep the experiment active or not.

Natural Language Processing 52

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IBM Journey to AI blog

JULY 6, 2023

Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on learning from what the data science comes up with. Because data analysts often build machine learning models, programming and AI knowledge are also valuable. It’s also necessary to understand data cleaning and processing techniques.

Machine Learning 59

Machine Learning Machine Learning Data Science Big Data 59

Pickl AI

NOVEMBER 8, 2023

Decision Tree) Making Predictions Evaluating Model Accuracy (Classification) Feature Scaling (Standardization) Getting Started Before diving into the intricacies of Scikit-Learn, let’s start with the basics. Can I use Scikit-Learn for natural language processing (NLP)?

Machine Learning 52

Machine Learning Machine Learning Data Science Python 52

Pickl AI

JULY 26, 2023

Gender Bias in Natural Language Processing (NLP) NLP models can develop biases based on the data they are trained on. Random Forest Overfitting Random Forests are designed to reduce overfitting compared to decision trees, but if the number of trees is too high, it can lead to high variance.

Machine Learning 52

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Pickl AI

MAY 24, 2023

It is clear that implementation of this library for ML dimension. Uses: PyTorch is primarily important in applications for natural language processing tasks. The post List of Python Libraries for Data Science appeared first on Pickl AI. Keras Keras has been described as one of Python’s finest packages.

Data Science 52

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Pickl AI

MAY 31, 2023

Accordingly, there are many Python libraries which are open-source including Data Manipulation, Data Visualisation, Machine Learning, Natural Language Processing , Statistics and Mathematics. It includes regression, classification, clustering, decision trees, and more. It can be easily ported to multiple platforms.

Data Science 52

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Dataconomy

APRIL 4, 2023

LaMDA, GPT, and more… Nowadays, everyone talking about AI models and what they are capable of. The use of AI models is expanding rapidly across all industries. AI’s capacity to find solutions to difficult issues with minimal human input is a major selling point for the technology. What is an AI model?

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

Dataconomy

APRIL 4, 2023

LaMDA, GPT, and more… Nowadays, everyone talking about AI models and what they are capable of. The use of AI models is expanding rapidly across all industries. AI’s capacity to find solutions to difficult issues with minimal human input is a major selling point for the technology. What is an AI model?

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

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 81

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Pickl AI

SEPTEMBER 7, 2023

Gradient Boosting Iteratively builds weak learners, usually decision trees, by focusing on the residuals of the previous iteration’s predictions. Build a weak learner, usually a shallow decision tree, to understand and capture the patterns in the residuals. Weak Learner Creation: Address model shortcomings.

Algorithm 52

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Pickl AI

MAY 10, 2023

ML algorithms fall into various categories which can be generally characterised as Regression, Clustering, and Classification. Decision Trees Decision Trees are non-linear model unlike the logistic regression which is a linear model. Consequently, each brand of the decision tree will yield a distinct result.

Clustering 52

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Mlearning.ai

FEBRUARY 6, 2023

Image generated by DALLE-2 The measures to counter AI-Generated text in education and other fields need their own transparency measures. To combat these issues, OpenAI recently released an AI Text Classifier that predicts how likely it is that a piece of text was generated by AI from a variety of sources, such as ChatGPT.

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Heartbeat

FEBRUARY 22, 2023

These models have been used to achieve state-of-the-art performance in many different fields, including image classification, natural language processing, and speech recognition. This article delves into using deep learning to enhance the effectiveness of classic ML models. We pay our contributors, and we don’t sell ads.

Deep Learning 52

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