Marktechpost

OCTOBER 28, 2024

Strengths: Interactive tutorials Hands-on experience with deep learning Visualizations of neural network architectures TensorFlow Playground TensorFlow Playground is a visual tool that helps users understand and experiment with neural networks and machine learning concepts.

Neural Network 109

Neural Network Natural Language Processing Deep Learning Machine Learning 109

Towards AI

JANUARY 29, 2025

Generative AI is powered by advanced machine learning techniques, particularly deep learning and neural networks, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Roles like AI Engineer, Machine Learning Engineer, and Data Scientist are increasingly requiring expertise in Generative AI.

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AI Engineer Generative AI Neural Network BERT 98

Marktechpost

SEPTEMBER 26, 2023

Microsoft researchers propose a groundbreaking solution to these challenges in their recent “Neural Graphical Models” paper presented at the 17th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2023). Check out the Paper and Reference Article.

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Neural Network Categorization Data Scientist Data Analysis 135

Analytics Vidhya

JULY 22, 2022

He is a Data Scientist @Mckinsey & Company with over 5 years of experience, primarily working on NLP and related problems. Introduction We are excited to have Shantam Saxena, who will host DataHour on our platform.

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NLP Data Scientist Artificial Intelligence Artificial Intelligence 348

Unite.AI

OCTOBER 2, 2024

The Growing Importance of Machine Learning for Geospatial Data Analysis Geospatial data combines location-specific information with time, creating a complex network of data points. This complexity has made it challenging for researchers and data scientists to analyze and extract insights. What is TorchGeo?

Machine Learning 278

Machine Learning Convolutional Neural Networks Neural Network Data Scientist 278

Flipboard

JANUARY 29, 2023

Neural Networks and … and Suykens, J. Convex formulation for kernel PCA and its use in semisupervised learning. IEEE Trans.

Data Scientist 123

Data Scientist Neural Network Artificial Intelligence Artificial Intelligence 123

Unite.AI

NOVEMBER 6, 2023

High-Dimensional and Unstructured Data : Traditional ML struggles with complex data types like images, audio, videos, and documents. Adaptability to Unseen Data: These models may not adapt well to real-world data that wasn’t part of their training data. Prominent transformer models include BERT , GPT-4 , and T5.

Machine Learning 204

Machine Learning Neural Network Deep Learning Convolutional Neural Networks 204

AI Weekly

SEPTEMBER 12, 2024

usnews.com Sponsor Join dotAI the world's brightest AI conference for tech engineers Whether you’re a developer, engineer, data scientist, ML specialist, CTO, or tech enthusiast, dotAI 2024 is your opportunity to hear from the best engineers out there, not from those who are just talking about change, but those who are building it!

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Convolutional Neural Networks Robotics Neural Network Artificial Intelligence 264

Mlearning.ai

JULY 22, 2023

A Comprehensive Guide for all aspiring Data Scientists Continue reading on MLearning.ai »

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Neural Network Data Scientist ML Data Science 97

Analytics Vidhya

DECEMBER 1, 2022

Introduction Data Science is one of the most promising careers of 2022 and beyond. Do you know that, for the past 5 years, ‘Data Scientist’ consistently ranked among the top 3 job professions in the US market? Keeping this in mind, many working professionals and students have started upskilling themselves.

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Data Scientist Data Science Neural Network Data Analysis 306

AI Weekly

JULY 27, 2023

bmj.com How AI can use classroom conversations to predict academic success By analyzing the classroom dialogs of these children, scientists at Tsinghua University developed neural network models to predict what behaviors may lead to a more successful student. Our Oppenheimer Moment: The Creation of A.I. Weapons In 1942, J.

Neural Network 246

Neural Network Convolutional Neural Networks Natural Language Processing Robotics 246

Marktechpost

JULY 21, 2023

This capability facilitates straightforward incorporation with a wide range of methods and programs for data analysis. Chrome Extension One of the best services available today can determine whether or not a human or a neural network wrote a given piece of text. Originality.AI Originality.AI is a method for solving this issue.

Data Scientist 98

Data Scientist Neural Network Machine Learning Explainability 98

IBM Journey to AI blog

DECEMBER 20, 2023

Many retailers’ e-commerce platforms—including those of IBM, Amazon, Google, Meta and Netflix—rely on artificial neural networks (ANNs) to deliver personalized recommendations. Supervised machine learning Supervised machine learning is a type of machine learning where the model is trained on a labeled dataset (i.e.,

Machine Learning 230

Machine Learning Neural Network Algorithm Computer Vision 230

Pickl AI

SEPTEMBER 3, 2024

Summary: Artificial Neural Network (ANNs) are computational models inspired by the human brain, enabling machines to learn from data. Introduction Artificial Neural Network (ANNs) have emerged as a cornerstone of Artificial Intelligence and Machine Learning , revolutionising how computers process information and learn from data.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing Machine Learning 52

Heartbeat

JUNE 27, 2023

Photo by Resource Database on Unsplash Introduction Neural networks have been operating on graph data for over a decade now. Neural networks leverage the structure and properties of graph and work in a similar fashion.

Neural Network 59

Neural Network Convolutional Neural Networks Auto-classification Deep Learning 59

IBM Journey to AI blog

NOVEMBER 29, 2023

Structured synthetic data types are quantitative and includes tabular data, such as numbers or values, while unstructured synthetic data types are qualitative and includes text, images, and video. Understanding the latter is crucial due to the complexity and size of most existing data tables. Watsonx.ai With the watsonx.ai

Data Scientist 252

Data Scientist Machine Learning Neural Network Data Quality 252

Unite.AI

SEPTEMBER 4, 2024

Our multi-layered approach combines proprietary algorithms with third-party data to stay ahead of evolving fraud tactics. Deep Neural Network (DNN) Models: Our core infrastructure utilizes multi-stage DNN models to predict the value of each impression or user. This resulted in a 75% decrease in Cost Per Acquisition (CPA) and 12.3

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Neural Network Machine Learning ML Continuous Learning 261

Heartbeat

JUNE 14, 2023

Introduction Deep neural network classifiers have been shown to be mis-calibrated [1], i.e., their prediction probabilities are not reliable confidence estimates. For example, if a neural network classifies an image as a “dog” with probability p , p cannot be interpreted as the confidence of the network’s predicted class for the image.

Neural Network 59

Neural Network Computer Vision Deep Learning Explainability 59

AWS Machine Learning Blog

MARCH 21, 2025

We provide the following request: sample_prompt = f""" You are a data scientist expert who has perfect vision and pay a lot of attention to details. The following is an example of how you can obtain metadata of the charts and graphs using simple natural language conversation with models. We use the following graph.

Metadata 114

Metadata Convolutional Neural Networks Generative AI Data Scientist 114

Marktechpost

APRIL 24, 2024

The increasing complexity of AI systems, particularly with the rise of opaque models like Deep Neural Networks (DNNs), has highlighted the need for transparency in decision-making processes. MAIF Data Scientists developed Shapash. XAI is a Machine Learning library designed with AI explainability at its core.

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Explainable AI Explainability Neural Network Data Scientist 117

ODSC - Open Data Science

MARCH 10, 2025

Tools like Python , R , and SQL were mainstays, with sessions centered around data wrangling, business intelligence, and the growing role of data scientists in decision-making. By 2017, deep learning began to make waves, driven by breakthroughs in neural networks and the release of frameworks like TensorFlow.

Data Science 52

Data Science Neural Network Convolutional Neural Networks Large Language Models 52

Marktechpost

AUGUST 2, 2024

This library aims to bridge the gap between complex neural networks and their practical application, addressing the persistent challenges faced by forecasters in terms of usability, accuracy, and computational efficiency. This wide range of models ensures users can access state-of-the-art techniques for diverse forecasting needs.

Neural Network 104

Neural Network Data Scientist AI AI 104

Marktechpost

AUGUST 1, 2024

Data scientists working with time series data often find themselves navigating a fragmented landscape of tools. This disjointed workflow is not only tedious but also complicates the process of integrating more advanced models like neural networks, which may require libraries such as TensorFlow or PyTorch.

Python 127

Python Neural Network Data Scientist Deep Learning 127

Snorkel AI

JANUARY 22, 2025

The neural network architecture of large language models makes them black boxes. Neither data scientists nor developers can tell you how any individual model weight impacts its output; they often cant reliably predict how small changes in the input will change the output. They use a process called LLM alignment.

Large Language Models 59

Large Language Models LLM Data Scientist Neural Network 59

Marktechpost

OCTOBER 17, 2024

The PyTorch community has continuously been at the forefront of advancing machine learning frameworks to meet the growing needs of researchers, data scientists, and AI engineers worldwide. This feature is especially useful for repeated neural network modules like those commonly used in transformers.

Machine Learning 122

Machine Learning Neural Network Data Scientist Inference Engine 122

ODSC - Open Data Science

SEPTEMBER 18, 2024

Convolutional neural networks (CNNs) differ from conventional, fully connected neural networks (FCNNs) because they process information in distinct ways. It still simulates biological systems but is distanced from some aspects of the input to process data faster and create maps representing the input’s components.

Convolutional Neural Networks 40

Convolutional Neural Networks Neural Network Data Scientist Computer Vision 40

Snorkel AI

MARCH 26, 2025

At its most basic level, an LLM-as-judge system consists of three parts: Input data : the output to be judged. An LLM: the neural network that takes in the final prompt and renders verdict. When building an LLM-as-judge, best practices dictate that data scientists should work closely with subject matter experts (SMEs).

LLM 52

LLM Data Scientist Prompt Engineer Prompt Engineering 52

ODSC - Open Data Science

NOVEMBER 28, 2024

A 2-for-1 ODSC East Black Friday Deal, Multi-Agent Systems, Financial Data Engineering, and LLM Evaluation ODSC East 2025 Black Friday Deal Take advantage of our 2-for-1 Black Friday sale and join the leading conference for data scientists and AI builders. Learn, innovate, and connect as we shape the future of AI — together!

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network LLM Natural Language Processing 52

Heartbeat

DECEMBER 20, 2023

This blog aims to equip you with a thorough understanding of these powerful neural network architectures. In a typical neural network, you flatten your input one vector, take those input values in at once, multiply them by the weights in the first layer, add the bias, and pass the result into a neuron.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Deep Learning Computer Vision 52

IBM Journey to AI blog

AUGUST 1, 2023

Foundation models: The driving force behind generative AI Also known as a transformer, a foundation model is an AI algorithm trained on vast amounts of broad data. A foundation model is built on a neural network model architecture to process information much like the human brain does.

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Generative AI Data Scientist Machine Learning BERT 176

IBM Journey to AI blog

OCTOBER 12, 2023

These models rely on learning algorithms that are developed and maintained by data scientists. However, AI capabilities have been evolving steadily since the breakthrough development of artificial neural networks in 2012, which allow machines to engage in reinforcement learning and simulate how the human brain processes information.

Artificial Intelligence 209

Artificial Intelligence Artificial Intelligence Emotion AI Computer Vision 209

Unite.AI

APRIL 9, 2024

This insight empowers data scientists, domain experts, and end-users to validate and trust the model's outputs, addressing concerns about AI’s “black box” nature. As AI models, particularly deep neural networks, become more complex, they often need to be more interpretable.

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Composite AI Explainability Black Box AI Neural Network 182

Marktechpost

MARCH 31, 2024

As we enter 2024, the field of data science continues to evolve rapidly, making it essential to stay updated with the latest knowledge and trends. These books cover a range of topics from foundational knowledge in data analysis and manipulation to advanced insights into machine learning and AI.

Data Science 120

Data Science Data Mining Machine Learning Neural Network 120

The MLOps Blog

NOVEMBER 14, 2023

Visualizing deep learning models can help us with several different objectives: Interpretability and explainability: The performance of deep learning models is, at times, staggering, even for seasoned data scientists and ML engineers. Data scientists and ML engineers: Creating and training deep learning models is no easy feat.

Deep Learning 111

Deep Learning Neural Network Convolutional Neural Networks Data Scientist 111

Unite.AI

AUGUST 28, 2023

Neural Networks & Deep Learning : Neural networks marked a turning point, mimicking human brain functions and evolving through experience. Deepnote AI Copilot Deepnote AI Copilot reshapes the dynamics of data exploration in notebooks. At its core, Deepnote AI aims to augment the workflow of data scientists.

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Auto-complete ChatGPT Large Language Models Neural Network 240

Unite.AI

SEPTEMBER 18, 2024

Improved Coding Abilities: The models show enhanced performance in coding tasks, making them valuable for developers and data scientists. This allows for processing of extensive data, including 11 hours of audio, 1 hour of video, 30,000 lines of code, or entire books. Advanced Tool Use: Llama 3.1 Multilingual Support: Llama 3.1

Large Language Models 304

Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 304

Marktechpost

OCTOBER 10, 2024

Data Analysis : Applying statistical methods to discover trends. Data Visualization : Presenting findings via charts and graphs. Predictive Modeling : Using data to predict future outcomes. Data scientists need to be skilled in programming, statistics, and domain knowledge. What is Machine Learning?

Data Science 108

Data Science Machine Learning Data Scientist ML Engineer 108