ODSC - Open Data Science

FEBRUARY 6, 2023

Advanced Fraud Modeling & Anomaly Detection with Python & R Aric LaBarr, PhD | Associate Professor of Analytics, Institute for Advanced Analytics | NC State University During this course, you’ll examine the standard fraud framework at a company, where data science can have an impact, and how to build an analytically advanced fraud system.

Categorization 98

Categorization Data Science Data Scientist Deep Learning 98

ODSC - Open Data Science

MARCH 6, 2023

In an effort to learn more about our community, we recently shared a survey about machine learning topics, including what platforms you’re using, in what industries, and what problems you’re facing. You can also get data science training on-demand wherever you are with our Ai+ Training platform.

Machine Learning 116

Machine Learning Deep Learning Data Science Big Data 116

ODSC - Open Data Science

MARCH 13, 2023

As you know, ODSC East brings together some of the best and brightest minds in data science and AI. They are experts in machine learning, NLP, deep learning, data engineering, MLOps, and data visualization. Dr. Jon Krohn Chief Data Scientist | Nebula.io

Data Science 80

Data Science Software Engineer Deep Learning Machine Learning 80

ODSC - Open Data Science

APRIL 10, 2023

When it comes to building a successful career in data science or AI, getting hands-on training to fill knowledge gaps or learn about the latest developments in the industry is always a good idea. It also explores statistical and machine learning approaches to anomaly detection. Jon Krohn | Chief Data Scientist | Nebula.io

Software Engineer 52

Software Engineer Categorization Data Science Machine Learning 52

ODSC - Open Data Science

AUGUST 8, 2023

When starting your data science career, it can be difficult to know which path to choose. Day 1 will focus on introducing fundamental data science and AI skills. When coming from a place of uncertainty, it’s hard to justify the cost (in time and money) of a traditional bootcamp.

Data Science 52

Data Science Deep Learning Machine Learning Python 52

ODSC - Open Data Science

MARCH 13, 2023

Looking forward If you’re interested in learning more about machine learning, Then check out ODSC East 2023 , where there will be a number of sessions as part of the machine & deep learning track that will cover the tools, strategies, platforms, and use cases you need to know to excel in the field.

Machine Learning 94

Machine Learning Data Science Categorization Python 94

Towards AI

APRIL 7, 2024

With the emergence of ARCGISpro which will replace ArcMap by 2026 mainly focusing on data science and machine learning, all the signs that machine learning is the future of GIS and you might have to learn some principles of data science, but where do you start, let us have a look.

Machine Learning 86

Machine Learning Neural Network Convolutional Neural Networks Deep Learning 86

ODSC - Open Data Science

MARCH 20, 2023

There will also be an in-person career expo where you can find your next job in data science! Sessions are audience-focused to help attendees solve their real-world, applied data science problems. Women’s Ignite | In-Person: Women in Data Science Ignite Sessions fuel creativity and innovation among conference attendees.

Data Science 98

Data Science NLP Categorization Python 98

Towards AI

AUGUST 25, 2023

Machine learning (ML) is a subset of AI that provides computer systems the ability to automatically learn and improve from experience without being explicitly programmed. Deep learning (DL) is a subset of machine learning that uses neural networks which have a structure similar to the human neural system.

Software Engineer 96

Software Engineer Machine Learning Neural Network Artificial Intelligence 96

ODSC - Open Data Science

FEBRUARY 15, 2023

With courses ranging in skill level from beginner to advanced and covering topics such as machine learning, NLP, MLOps, data engineering, deep learning, and much, much more, you’ll have the opportunity to craft a conference experience that matches your particular needs and interests. So, why wait?

Data Science 90

Data Science NLP Python Machine Learning 90

Pickl AI

NOVEMBER 2, 2023

It serves as a handy quick-reference tool to assist data professionals in their work, aiding in data interpretation, modeling , and decision-making processes. In the fast-paced world of Data Science, having quick and easy access to essential information is invaluable when using a repository of Cheat sheets for Data Scientists.

Data Scientist 52

Data Scientist Data Science Neural Network Deep Learning 52

ODSC - Open Data Science

AUGUST 17, 2023

With courses ranging in skill level from beginner to advanced and covering topics such as machine learning, NLP, MLOps, data engineering, deep learning, and much, much more, you’ll have the opportunity to craft a conference experience that matches your particular needs and interests. So, why wait?

Data Science 52

Data Science Python NLP Machine Learning 52

Heartbeat

JANUARY 24, 2024

Univariate Analysis The simplest type of analysis, known as a univariate analysis, focuses on just one variable and is used to explain the data more accurately. We do the univariate analysis of numerical and categorical variables differently. Let’s examine some charts that can be used to display categorical data.

Data Analysis 52

Data Analysis Categorization Data Scientist Machine Learning 52

IBM Journey to AI blog

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. Data extraction Once you’ve assigned numerical values, you will apply one or more text-mining techniques to the structured data to extract insights from social media data.

Convolutional Neural Networks 144

Convolutional Neural Networks Data Mining Categorization Machine Learning 144

ODSC - Open Data Science

JULY 26, 2023

Data Preprocessing Data preprocessing involves cleaning and transforming raw data into a format suitable for machine learning algorithms. This step may include handling missing values, outlier detection, feature scaling, encoding categorical variables, and feature engineering.

Machine Learning 52

Machine Learning ML Data Scientist Neural Network 52

Unite.AI

AUGUST 28, 2023

With advancements in deep learning, natural language processing (NLP), and AI, we are in a time period where AI agents could form a significant portion of the global workforce. Neural Networks & Deep Learning : Neural networks marked a turning point, mimicking human brain functions and evolving through experience.

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Auto-complete ChatGPT Large Language Models AI 240

NVIDIA

NOVEMBER 8, 2023

207 While an AI designed for categorizing traffic lights, for example, doesn’t need perfection, medical tools must be highly accurate — any oversight could be fatal. Currently, Annalise.ai works for chest X-rays and brain CT scans, with more on the way. The AI Podcast · Harrison.ai To overcome this challenge, annalise.ai

Categorization 76

Categorization Deep Learning AI AI 76

NVIDIA

NOVEMBER 8, 2023

207 While an AI designed for categorizing traffic lights, for example, doesn’t need perfection, medical tools must be highly accurate — any oversight could be fatal. Currently, Annalise.ai works for chest X-rays and brain CT scans, with more on the way. The AI Podcast · Harrison.ai To overcome this challenge, annalise.ai

Categorization 75

Categorization Deep Learning AI AI 75

Heartbeat

MARCH 8, 2023

Things You Can do Using Kangas Library in Data Science — by Pranjal Saxena Kangas, developed by the team at Comet , is an open source tool that allows data developers to load, sort, group, and visualize millions of images at once without the risk of crashing their notebooks.

Convolutional Neural Networks 40

Convolutional Neural Networks Neural Network Natural Language Processing Deep Learning 40

ODSC - Open Data Science

MAY 24, 2023

Our use case within the banking industry To assist financial managers in responding to customer requests, we trained a sequence-to-sequence deep learning neural network with more than one million query-answer pairs. About the authors: Clara Higuera Cabañes, PhD is a senior data scientist at BBVA AI Factory.

NLP 52

NLP Neural Network Natural Language Processing Data Scientist 52

Mlearning.ai

MAY 23, 2023

Hey guys, in this blog we will see some of the most asked Data Science Interview Questions by interviewers in [year]. Data science has become an integral part of many industries, and as a result, the demand for skilled data scientists is soaring. What is Data Science?

Data Science 52

Data Science Neural Network Deep Learning Machine Learning 52

ODSC - Open Data Science

APRIL 28, 2023

In this post, I’ll be demonstrating two deep learning approaches to sentiment analysis. Deep learning refers to the use of neural network architectures, characterized by their multi-layer design (i.e. deep” architecture). He also contributes to volunteer projects applying data science tools for public good.

Deep Learning 98

Deep Learning Convolutional Neural Networks Neural Network NLP 98

NVIDIA

JUNE 28, 2023

Powerful Compute for Large-Scale Data GPU-accelerated AI and data science can rapidly extract insights from complex, unstructured data — enabling banks and businesses to set up real-time streaming and analysis of data as it’s captured from satellites, drones, antennas and edge sensors. Image credit: CrowdAI, Inc.,

ESG 52

ESG Deep Learning AI AI 52

Pickl AI

AUGUST 1, 2023

The surge of digitization and its growing penetration across the industry spectrum has increased the relevance of text mining in Data Science. Text mining is primarily a technique in the field of Data Science that encompasses the extraction of meaningful insights and information from unstructured textual data.

Data Analysis 52

Data Analysis Python Categorization Data Mining 52

Heartbeat

AUGUST 29, 2023

Deep learning is a branch of machine learning that makes use of neural networks with numerous layers to discover intricate data patterns. Deep learning models use artificial neural networks to learn from data. It is a tremendous tool with the ability to completely alter numerous sectors.

Software Development 52

Software Development Deep Learning Neural Network Convolutional Neural Networks 52

IBM Journey to AI blog

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

Machine Learning 129

Machine Learning ML Algorithm Chatbots 129

Heartbeat

SEPTEMBER 28, 2023

Categorical Feature Distribution These plots show the distribution of categorical features (gender, SeniorCitizen, Partner, Dependents, Contract, PaymentMethod) split by churn status. They help you understand the data’s characteristics and make informed decisions to optimize customer retention strategies.

Machine Learning 52

Machine Learning Categorization ML Data Scientist 52

Heartbeat

DECEMBER 13, 2023

0.9]] logloss = log_loss(y_true, y_pred) print("Log Loss:", logloss) Cohen's Kappa Cohen's Kappa is a statistical measure of inter-rater agreement between two raters for categorical items. Example: #Log loss evaluation metric from sklearn.metrics import log_loss y_true = [0, 1, 1, 0, 1] y_pred = [[0.89, 0.11], [0.3,

Machine Learning 52

Machine Learning Data Scientist Deep Learning Categorization 52

NVIDIA Developer

JUNE 2, 2021

Deep learning models have gained widespread popularity for NLP because of their ability to accurately generalize over a range of contexts and languages. In this workshop, you’ll learn how to use Transformer-based natural language processing models for text classification tasks, such as categorizing documents.

Natural Language Processing 40

Natural Language Processing Neural Network Deep Learning BERT 40

Heartbeat

FEBRUARY 23, 2023

Curious how to design your deep neural networks’ depth and shape? Image Courtesy of UrielSC A big part of data science is tuning our models and improving upon them over time. Next, we add our output layer, which we define as has having three nodes and a ‘Softmax’ activation function (for our categorical output). #.

Neural Network 52

Neural Network Categorization Deep Learning Data Science 52

Heartbeat

FEBRUARY 2, 2024

COCO-QA: Shifting attention to COCO-QA, questions are categorized based on types such as color, counting, location, and object. This categorization lays the groundwork for nuanced evaluation, recognizing that different question types demand distinct reasoning strategies from VQA algorithms.

Computer Vision 52

Computer Vision Natural Language Processing Artificial Intelligence Artificial Intelligence 52

Heartbeat

AUGUST 21, 2023

AlexNet was created to categorize photos in the ImageNet dataset, which contains approximately 1 million images divided into 1,000 categories. AlexNet significantly improved performance over previous approaches and helped popularize deep learning and CNNs. We pay our contributors, and we don’t sell ads.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Natural Language Processing Computer Vision 52

Pickl AI

AUGUST 1, 2023

The success of a Machine Learning model depends on various factors, including the quality and quantity of the training data, the model architecture, and hyperparameters’ tuning. Types of Machine Learning Model: Machine Learning models can be broadly categorized as: 1.

Machine Learning 52

Machine Learning Neural Network Algorithm Convolutional Neural Networks 52

Heartbeat

NOVEMBER 15, 2023

We’re attempting label encoding, a technique for converting categorical variables into numerical form. Digits=LabelEncoder() The fit() method of the LabelEncoder() class takes a list of categorical values as input and assigns a unique numerical label to each distinct category. I hope this article was helpful.

Machine Learning 52

Machine Learning Categorization Data Scientist Deep Learning 52

Heartbeat

MARCH 1, 2023

Once trained, the model can be used to categorize new, unseen photos. Numerous applications, including object identification, image search, and image annotation, can benefit from image categorization. Comet Comet is a machine-learning experimentation tool that assists you in keeping track of your machine-learning experiments.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Auto-classification Categorization 52

IBM Journey to AI blog

APRIL 18, 2024

Most experts categorize it as a powerful, but narrow AI model. Self-driving cars excel at navigating roads and supercomputers like IBM Watson ® can analyze vast amounts of data. Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move.

Neural Network 239

Neural Network LLM AI AI 239

Heartbeat

FEBRUARY 15, 2023

It is a supervised learning methodology that predicts if a piece of text belongs to one category or the other. As a machine learning engineer, you start with a labeled data set that has vast amounts of text that have already been categorized. We pay our contributors, and we don’t sell ads.

ML 52

ML Neural Network Deep Learning Natural Language Processing 52