IBM Journey to AI blog

JULY 6, 2023

To keep up with the pace of consumer expectations, companies are relying more heavily on machine learning algorithms to make things easier. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other? Machine learning is a subset of AI.

Neural Network 178

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Unite.AI

NOVEMBER 6, 2023

With these advancements, it’s natural to wonder: Are we approaching the end of traditional machine learning (ML)? In this article, we’ll look at the state of the traditional machine learning landscape concerning modern generative AI innovations. What is Traditional Machine Learning? What are its Limitations?

Machine Learning 204

Machine Learning Neural Network Deep Learning Convolutional Neural Networks 204

Analytics Vidhya

DECEMBER 3, 2021

Introduction In this article, I will attempt to explain all of the ideas that you should be familiar with about databases. As we all know, while working on a Data Science, Machine Learning, Deep Learning, or another project, the most important element is […].

Data Science 355

Data Science Deep Learning Machine Learning Explainability 355

Analytics Vidhya

MAY 5, 2024

7B Explained appeared first on Analytics Vidhya. It is designed for a variety of code and natural language generation tasks. The 7B model is part of the Gemma family and is further trained on more than 500 billion tokens […] The post Is Coding Dead? Google’s CodeGemma 1.1

Explainability 327

Explainability Large Language Models AI Tools Deep Learning 327

Unite.AI

DECEMBER 17, 2024

Machine learning models can be used to detect suspicious patterns based on a series of datasets that are in constant evolution. AI systems, especially deep learning models, can be difficult to interpret. AI presents a new way of screening for financial crime risk.

Automation 246

Automation Explainability AI AI 246

Analytics Vidhya

AUGUST 26, 2021

This article was published as a part of the Data Science Blogathon “You can have data without information but you cannot have information without data” – Daniel Keys Moran Introduction If you are here then you might be already interested in Machine Learning or Deep Learning so I need not explain what it is?

Deep Learning 318

Deep Learning Machine Learning Data Science Explainability 318

Analytics Vidhya

MAY 3, 2024

50 Billion AGI Gamble Explained! His vision represents a significant shift in the development of AI technologies, emphasizing the transformative potential of AGI across various societal sectors. Altman has […] The post Is Sam Altman Crazy or a Genius? $50 appeared first on Analytics Vidhya.

Explainability 328

Explainability OpenAI AI AI 328

Unite.AI

NOVEMBER 20, 2024

With daily advancements in machine learning , natural language processing , and automation, many of these companies identify as “cutting-edge,” but struggle to stand out. As of 2024, there are approximately 70,000 AI companies worldwide, contributing to a global AI market value of nearly $200 billion.

Deep Learning 147

Deep Learning Natural Language Processing Machine Learning AI 147

Unite.AI

AUGUST 28, 2024

Deep Instinct is a cybersecurity company that applies deep learning to cybersecurity. As I learned about the possibilities of predictive prevention technology, I quickly realized that Deep Instinct was the real deal and doing something unique. He holds a B.Sc ML is unfit for the task. Not all AI is equal.

Deep Learning 278

Deep Learning Explainability Neural Network Metadata 278

Analytics Vidhya

OCTOBER 10, 2022

Introduction In this article, we will create a Mask v/s No Mask classifier using CNN and Machine Learning Classifiers. We will learn everything from scratch, and I will explain every […]. This article was published as a part of the Data Science Blogathon.

Machine Learning 393

Machine Learning Data Science Explainability Deep Learning 393

ODSC - Open Data Science

MARCH 11, 2025

Predictive modeling is at the heart of modern machine learning applications. But how can machine learning practitioners improve the reliability of their models, particularly when dealing with tabular data? You can listen to the full podcast on Spotify , Apple , and SoundCloud.

Machine Learning 52

Machine Learning Deep Learning Categorization Data Scientist 52

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.

Data Science 175

Data Science Machine Learning Big Data Data Mining 175

Towards AI

JANUARY 31, 2025

Explaining a black box Deep learning model is an essential but difficult task for engineers in an AI project. Image by author When the first computer, Alan Turings machine, appeared in the 1940s, humans started to struggle in explaining how it encrypts and decrypts messages. This member-only story is on us.

Deep Learning 95

Deep Learning Computer Vision Explainability NLP 95

Unite.AI

OCTOBER 5, 2023

I've so far read over 60 books on AI, and while some of them do get repetitive, this book managed to offer a fresh perspective, I enjoyed this book enough to add it to my personal list of the Best Machine Learning & AI Books of All Time. Below are some questions that were asked to author Ronald T. Different target audience.

Neural Network 298

Neural Network Deep Learning Machine Learning AI 298

Marktechpost

MARCH 10, 2025

A researcher from New York University presents soft inductive biases as a key unifying principle in explaining these phenomena: rather than restricting hypothesis space, this approach embraces flexibility while maintaining a preference for simpler solutions consistent with data. However, deep learning remains distinctive in specific aspects.

Deep Learning 46

Deep Learning Convolutional Neural Networks Neural Network Explainability 46

Flipboard

SEPTEMBER 4, 2023

Home Table of Contents Getting Started with Docker for Machine Learning Overview: Why the Need? How Do Containers Differ from Virtual Machines? Finally, we will top it off by installing Docker on our local machine with simple and easy-to-follow steps. What Are Containers?

Machine Learning 153

Machine Learning Computer Vision Deep Learning Python 153

Marek Rei

NOVEMBER 4, 2024

I have written short summaries of 68 different research papers published in the areas of Machine Learning and Natural Language Processing. link] Proposes an explainability method for language modelling that explains why one word was predicted instead of a specific other word. UC Berkeley, CMU. EMNLP 2022. ArXiv 2022.

Machine Learning 80

Machine Learning NLP Large Language Models LLM 80

Marktechpost

MAY 5, 2024

In recent years, the demand for AI and Machine Learning has surged, making ML expertise increasingly vital for job seekers. Machine Learning with Python This course covers the fundamentals of machine learning algorithms and when to use each of them. and evaluating the same.

Machine Learning 117

Machine Learning Python Neural Network Convolutional Neural Networks 117

Unite.AI

JUNE 25, 2023

Hybrid Approach for Physics-Aware AI Traditionally, computer vision, the field that enables AI to comprehend and infer properties of the physical world from images, has largely focused on data-based machine learning. However, assimilating the understanding of physics into the realm of neural networks has proved challenging.

Computer Vision 361

Computer Vision Robotics Neural Network Hybrid AI 361

IBM Journey to AI blog

AUGUST 9, 2024

Most generative AI models start with a foundation model , a type of deep learning model that “learns” to generate statistically probable outputs when prompted. Predictive AI blends statistical analysis with machine learning algorithms to find data patterns and forecast future outcomes.

Generative AI 301

Generative AI Explainability AI AI 301

Marktechpost

MAY 8, 2024

Over the past decade, advancements in deep learning and artificial intelligence have driven significant strides in self-driving vehicle technology. Deep learning and AI technologies play crucial roles in both modular and End2End systems for autonomous driving. Classical methodologies for these tasks are also explored.

Deep Learning 120

Deep Learning Neural Network Data Scarcity Natural Language Processing 120

Flipboard

OCTOBER 9, 2023

This lesson is the 2nd of a 3-part series on Docker for Machine Learning : Getting Started with Docker for Machine Learning Getting Used to Docker for Machine Learning (this tutorial) Lesson 3 To learn how to create a Docker Container for Machine Learning, just keep reading.

Machine Learning 153

Machine Learning Computer Vision Deep Learning Python 153

Marktechpost

JUNE 16, 2024

Topological Deep Learning (TDL) advances beyond traditional GNNs by modeling complex multi-way relationships, unlike GNNs that only capture pairwise interactions. Topological Neural Networks (TNNs), a subset of TDL, excel in handling higher-order relational data and have shown superior performance in various machine-learning tasks.

Deep Learning 128

Deep Learning Neural Network Machine Learning Explainability 128

Flipboard

JULY 31, 2023

In this post, we’ll show you the datasets you can use to build your machine learning projects. After you create a free account, you’ll have access to the best machine learning datasets. Importance and Role of Datasets in Machine Learning Data is king.

Machine Learning 123

Machine Learning Computer Vision Deep Learning Convolutional Neural Networks 123

Towards AI

SEPTEMBER 10, 2023

What I’ve learned from the most popular DL course Photo by Sincerely Media on Unsplash I’ve recently finished the Practical Deep Learning Course from Fast.AI. So you definitely can trust his expertise in Machine Learning and Deep Learning. I’ve passed many ML courses before, so that I can compare.

Deep Learning 124

Deep Learning Neural Network ML Computer Vision 124

Flipboard

MARCH 17, 2025

This lesson is the 1st of a 2-part series on Deploying Machine Learning using FastAPI and Docker: Getting Started with Python and FastAPI: A Complete Beginners Guide (this tutorial) Lesson 2 To learn how to set up FastAPI, create GET and POST endpoints, validate data with Pydantic, and test your API with TestClient, just keep reading.

Python 153

Python Computer Vision Auto-complete Deep Learning 153

Marktechpost

MAY 14, 2024

Deep learning is crucial in today’s age as it powers advancements in artificial intelligence, enabling applications like image and speech recognition, language translation, and autonomous vehicles. Additionally, it offers insights into the diverse range of deep learning techniques applied across various industrial sectors.

Neural Network 107

Neural Network Deep Learning Computer Vision Python 107

Unite.AI

DECEMBER 1, 2023

Machine learning , a subset of AI, involves three components: algorithms, training data, and the resulting model. An algorithm, essentially a set of procedures, learns to identify patterns from a large set of examples (training data). The culmination of this training is a machine-learning model.

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LLM Machine Learning Explainability Algorithm 264

Marktechpost

APRIL 24, 2024

Explainable AI (XAI) aims to balance model explainability with high learning performance, fostering human understanding, trust, and effective management of AI partners. ELI5 is a Python package that helps debug machine learning classifiers and explain their predictions.

Explainable AI 114

Explainable AI Explainability Neural Network Data Scientist 114

Marktechpost

OCTOBER 8, 2023

The field of Machine Learning and Artificial Intelligence has become very important. The intricate and nonlinear nature of deep neural networks (DNNs) often leads to conclusions that may exhibit bias towards undesired or undesirable traits. We have new advancements that have been there with each day. Consequently, Prof.

Deep Learning 140

Deep Learning Neural Network Explainability Artificial Intelligence 140

IBM Journey to AI blog

OCTOBER 16, 2023

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029.

Machine Learning 131

Machine Learning ML Algorithm Chatbots 131

The MLOps Blog

NOVEMBER 14, 2023

Deep learning models are typically highly complex. While many traditional machine learning models make do with just a couple of hundreds of parameters, deep learning models have millions or billions of parameters. The reasons for this range from wrongly connected model components to misconfigured optimizers.

Deep Learning 111

Deep Learning Neural Network Convolutional Neural Networks Data Scientist 111

Marktechpost

DECEMBER 14, 2024

Despite significant progress with deep learning models like AlphaFold and ProteinMPNN, there is a gap in accessible educational resources that integrate foundational machine learning concepts with advanced protein engineering methods.

Deep Learning 79

Deep Learning Machine Learning Neural Network Explainability 79

Flipboard

NOVEMBER 27, 2024

To address this, we make the first attempt to develop a deep learning framework predicting the transition probabilities of dynamical systems ahead of rate-induced transitions. This study introduces deep learning as an effective prediction tool for these tipping events.

Deep Learning 110

Deep Learning Artificial Intelligence Artificial Intelligence Explainability 110

Towards AI

AUGUST 5, 2024

comparison method, cost approach or expert evaluation), machine learning and deep learning models offer new alternatives. How can we estimate the price of objects such as used cars as accurately as possible? In addition to traditional methods based on statistical and heuristic approaches (e.g. Own visualization.

Deep Learning 105

Deep Learning Machine Learning Explainability AI 105

Unite.AI

APRIL 9, 2024

These techniques include Machine Learning (ML), deep learning , Natural Language Processing (NLP) , Computer Vision (CV) , descriptive statistics, and knowledge graphs. Explainability is essential for accountability, fairness, and user confidence. Transparency is fundamental for responsible AI usage.

Composite AI 182

Composite AI Explainability Explainable AI Black Box AI 182

Towards AI

NOVEMBER 19, 2023

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. We will explain intuitively what each one means and how it contributes to the deep learning process.

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