IBM Journey to AI blog

JULY 6, 2023

These computer science terms are often used interchangeably, but what differences make each a unique technology? To keep up with the pace of consumer expectations, companies are relying more heavily on machine learning algorithms to make things easier. Artificial intelligence is the overarching system.

Deep Learning 57

Deep Learning Deep Learning Machine Learning Machine Learning 57

Towards AI

APRIL 4, 2024

Created by the author with DALL E-3 Machine learning algorithms are the “cool kids” of the tech industry; everyone is talking about them as if they were the newest, greatest meme. Amidst the hoopla, do people actually understand what machine learning is, or are they just using the word as a text thread equivalent of emoticons?

K-nearest Neighbors 69

K-nearest Neighbors Machine Learning Machine Learning Decision Trees 69

Dataconomy

MARCH 14, 2023

These fields involve the use of machine learning and artificial intelligence to enable machines to understand, interpret, and generate human language. One major issue with conventional supervised learning approaches is that they lack scalability.

Natural Language Processing 70

Natural Language Processing Machine Learning Machine Learning Supervised Learning 70

Becoming Human

MARCH 16, 2023

How AI is applied Artificial Intelligence covers various technologies and approaches that involve using sophisticated computational methods to mimic elements of human intelligence such as visual perception, speech recognition, decision-making, and language understanding. A few AI technologies are empowering drug design.

AI 139

AI AI Artificial Intelligence Artificial Intelligence 139

How to Learn Machine Learning

MAY 14, 2023

Building a Solid Foundation in Mathematics and Programming To become a successful machine learning engineer, it’s essential to have a strong foundation in mathematics and programming. Mathematics is crucial because machine learning algorithms are built on concepts such as linear algebra, calculus, probability, and statistics.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Deep Learning 52

Heartbeat

OCTOBER 25, 2023

Empowering Data Scientists and Machine Learning Engineers in Advancing Biological Research Image from European Bioinformatics Institute Introduction: In biological research, the fusion of biology, computer science, and statistics has given birth to an exciting field called bioinformatics.

Machine Learning 52

Machine Learning Machine Learning Data Scientist Algorithm 52

DrivenData Labs

JUNE 14, 2023

Accurate and performant algorithms are critical in flagging and removing inappropriate content. Self-supervision: As in the Image Similarity Challenge , all winning solutions used self-supervised learning and image augmentation (or models trained using these techniques) as the backbone of their solutions.

Supervised Learning 173

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IBM Journey to AI blog

JULY 6, 2023

Data science solves a business problem by understanding the problem, knowing the data that’s required, and analyzing the data to help solve the real-world problem. What is machine learning? Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on learning from what the data science comes up with.

Machine Learning 55

Machine Learning Machine Learning Data Science Big Data 55

AWS Machine Learning Blog

SEPTEMBER 8, 2023

Duke Energy has used artificial intelligence in the past to create efficiencies in day-to-day operations to great success. Precision measures how well our algorithm identifies only anomalies. the algorithm falsely identifies a woodpecker hole while there isn’t any in the image).

Machine Learning 79

Machine Learning Machine Learning AWS ML 79

ODSC - Open Data Science

SEPTEMBER 19, 2023

Then identifying issues that allow fine-tuning of code, optimizing algorithms, and making strategic use of parallel processing. Depending on the position, and company, it can require a strong understanding of natural language processing, computer science, linguistics, and software engineering.

Natural Language Processing 98

Natural Language Processing Data Science Supervised Learning Computer Science 98

Snorkel AI

MARCH 1, 2023

Foundation Models (FMs), such as GPT-3 and Stable Diffusion, mark the beginning of a new era in machine learning and artificial intelligence. Foundation models are large AI models trained on enormous quantities of unlabeled data—usually through self-supervised learning. What is self-supervised learning?

Natural Language Processing 83

Natural Language Processing Supervised Learning Machine Learning Machine Learning 83

Pickl AI

JANUARY 12, 2023

This Data Science professional certificate program is industry-recognized and incorporates all the fundamentals of Data Science along with Machine Learning and its practical applications. The Udacity’s Data Science and Machine Learning course covers a wide range of topics in Data Science and Machine Learning.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Applied Data Science

MARCH 11, 2022

First, we will briefly revisit Minsky’s archetype of a society of mind, which views intelligence as the outcome of interactions between agents with different objectives. Then, we will look at three recent research projects that gamified existing algorithms by converting them from single-agent to multi-agent: ?️‍♀️

AI 130

AI AI Data Science Machine Learning 130

Hacker News

MARCH 25, 2022

Transformers made self-supervised learning possible, and AI jumped to warp speed,” said NVIDIA founder and CEO Jensen Huang in his keynote address this week at GTC. Transformers are in many cases replacing convolutional and recurrent neural networks (CNNs and RNNs), the most popular types of deep learning models just five years ago.

Machine Learning 180

Machine Learning Machine Learning AI AI 180

ODSC - Open Data Science

FEBRUARY 14, 2023

The model was fine-tuned to reduce false, harmful, or biased output using a combination of supervised learning in conjunction to what OpenAI calls Reinforcement Learning with Human Feedback (RLHF), where humans rank potential outputs and a reinforcement learning algorithm rewards the model for generating outputs like those that rank highly.

Database 124

Database AI AI Natural Language Processing 124

Hacker News

FEBRUARY 14, 2023

And many of the practical challenges around neural nets—and machine learning in general—center on acquiring or preparing the necessary training data. In many cases (“supervised learning”) one wants to get explicit examples of inputs and the outputs one is expecting from them. But that’s not the case.

Machine Learning 182

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