insideBIGDATA

APRIL 28, 2023

Welcome to insideBIGDATA’s Data Science 101 channel bringing you perspectives for the topics of the day in data science, machine learning, AI and deep learning. In today’s slide-based video presentation I discuss The Data Science Venn Diagram, an subject-by-subject […]

Data Science 221

Data Science Deep Learning Deep Learning Machine Learning 221

Towards AI

APRIL 3, 2024

Diving deep into the subject, I have realized that there is a myriad of technological branches that address various parts of the problem. In this article, I will focus on machine learning methods. Author(s): Aliaksei Mikhailiuk Originally published on Towards AI.

Machine Learning 90

Machine Learning Machine Learning AI AI 90

Dataconomy

AUGUST 22, 2023

Today, as machine learning algorithms continue to shape our world, the integration of Bayesian principles has become a hallmark of advanced predictive modeling. This is where machine learning comes in. What is machine learning? Machine learning algorithms help you find patterns in this data.

Machine Learning 91

Machine Learning Machine Learning Algorithm Deep Learning 91

Analytics Vidhya

JULY 27, 2023

Introduction A highly effective method in machine learning and natural language processing is topic modeling. This technique involves finding abstract subjects that appear there. A corpus of text is an example of a collection of documents.

Natural Language Processing 240

Natural Language Processing Machine Learning Machine Learning Analytics 240

Dataconomy

OCTOBER 17, 2016

This is a follow up to an article Per wrote last year, Machine Learning in a Week, on how he kickstarted his way into machine learning (ml) by devoting five days to the subject. The post Machine Learning in A Year, by Per Harald Borgen appeared first on Dataconomy.

Machine Learning 195

Machine Learning Machine Learning ML ML 195

Analytics Vidhya

AUGUST 26, 2023

Incremental learning represents a dynamic approach in academia, fostering gradual and consistent knowledge assimilation. Unlike conventional methods that inundate learners with vast information, incremental learning dissects intricate subjects into manageable fragments.

Machine Learning 213

Machine Learning Machine Learning Analytics Analytics 213

ODSC - Open Data Science

APRIL 27, 2023

Be sure to check out his talk, “ Is Machine Learning Necessary to Solve Problems in Biology ,” there! I will explore the reasons for this discrepancy between theory and practice and suggest that recent developments in machine learning will be necessary to improve the accuracy of predictions in biological systems.

Machine Learning 90

Machine Learning Machine Learning Data Science Computer Science 90

DagsHub

FEBRUARY 29, 2024

Introduction Machine learning models learn patterns from data and leverage the learning, captured in the model weights, to make predictions on new, unseen data. Data, is therefore, essential to the quality and performance of machine learning models. Why do you need Data Preparation for Machine Learning?

Data Preparation 52

Data Preparation Machine Learning Machine Learning Data Governance 52

KDnuggets

SEPTEMBER 11, 2019

Online hate speech is a complex subject. Follow this demonstration using state-of-the-art graph neural network models to detect hateful users based on their activities on the Twitter social network.

Machine Learning 240

Machine Learning Machine Learning Analytics Analytics 240

PyImageSearch

MARCH 30, 2023

If you want a gentle introduction to machine learning for computer vision, you’re in the right spot. Here at PyImageSearch we’ve been helping people just like you master deep learning for computer vision. Also, you might want to check out our computer vision for deep learning program before you go.

Machine Learning 56

Machine Learning Machine Learning Deep Learning Deep Learning 56

Flipboard

JULY 28, 2023

The Brain2Music AI model 'reconstructs' the songs subjects were listening to during their scans.

AI 123

AI AI Machine Learning Machine Learning 123

ODSC - Open Data Science

MARCH 22, 2023

Many companies are now utilizing data science and machine learning , but there’s still a lot of room for improvement in terms of ROI. Nevertheless, we are still left with the question: How can we do machine learning better? billion in 2022, an increase of 21.3% billion in 2022, an increase of 21.3%

Machine Learning 98

Machine Learning Machine Learning Data Science Artificial Intelligence 98

Defined.ai blog

AUGUST 30, 2023

Machines are no longer confined to mere calculations; they now navigate the labyrinth of human language with startling proficiency. What is the Relationship between NLP and Machine Learning? At its core, NLP in machine learning (ML) is where the intricate art of language meets the precision of algorithms.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing ML 52

Mlearning.ai

JULY 6, 2023

AI-generated image ( craiyon ) In machine learning (ML), a hyperparameter is a parameter whose value is given by the user and used to control the learning process. Optuna has many uses, both in machine learning and in deep learning. This is, ipso facto, unavoidable in such empirical research.

Machine Learning 52

Machine Learning Machine Learning Algorithm ML 52

Pickl AI

APRIL 19, 2023

Machine Learning is the part of Artificial Intelligence and computer science that emphasizes on the use of data and algorithms, imitating the way humans learn and improving accuracy. Machine Learning is becoming increasingly popular and crucial in today’s market for effective productivity and decision-making processes.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

DataRobot

APRIL 5, 2021

Considering only one in ten companies report significant financial benefits from implementing AI , the collaboration of business subject matter experts and technical experts is critical. The C-suite and business subject matter experts don’t usually have specialized education in mathematics and computer science.

Data Scientist 96

Data Scientist AI AI Machine Learning 96

NYU Center for Data Science

JULY 28, 2023

The international machine learning educational summit, held from July 8th through the 16th, was organized by AI for Global Goals in collaboration with the University of Oxford Deep Medicine and the Canadian Institute for Advanced Research (CIFAR). There is a lot of interest in learning how to apply machine learning to this field.

Machine Learning 83

Machine Learning Machine Learning Computer Science Computer Science 83

Flipboard

DECEMBER 20, 2023

Using Apple’s machine learning algorithms that quickly separate a subject from its background, it extracts pictures of you, your friends or pets … You can even send animated stickers with Live Photos in iMessage. Creating stickers from photos is an easily overlooked iPhone feature tucked into iOS 17.

Machine Learning 141

Machine Learning Machine Learning Algorithm 141

ODSC - Open Data Science

MARCH 17, 2023

At the end of the day, why not use an AutoML package (Automated Machine Learning) or an Auto-Forecasting tool and let it do the job for you? However, we already know that: Machine Learning models deliver better results in terms of accuracy when we are dealing with interrelated series and complex patterns in our data.

Machine Learning 98

Machine Learning Machine Learning Deep Learning Deep Learning 98

Analytics Vidhya

APRIL 6, 2023

Introduction The human heart, a complex and vital organ, has been the subject of countless studies, breakthroughs, and innovations in the field of medical research. One such innovation is echocardiography, a non-invasive imaging technique that has revolutionized how we visualize and assess heart function.

Machine Learning 248

Machine Learning Machine Learning Algorithm Analytics 248

How to Learn Machine Learning

MAY 14, 2023

Embarking on a career as a Machine Learning Engineer has become increasingly popular in recent years. This is because machine learning has evolved into a driving force for various industries such as finance, healthcare, marketing, and many more. The Machine Learning Engineer Career Path 1.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Deep Learning 52

Flipboard

DECEMBER 6, 2023

Google has unveiled its awesome next-gen Gemini AI, claiming it outperforms OpenAI's GPT-4 – as well as human experts – on nearly all major tests.

AI 174

AI AI Artificial Intelligence Artificial Intelligence 174

ODSC - Open Data Science

MAY 25, 2023

sktime — Python Toolbox for Machine Learning with Time Series Editor’s note: Franz Kiraly is a speaker for ODSC Europe this June. Be sure to check out his talk, “ sktime — Python Toolbox for Machine Learning with Time Series ,” there! Welcome to sktime, the open community and Python framework for all things time series.

Machine Learning 98

Machine Learning Machine Learning Python Data Scientist 98

DataRobot Blog

JANUARY 17, 2023

Recently, a prospective customer asked me how I reconcile the fact that DataRobot has multiple very successful investment banks using DataRobot to enhance the P&L of their trading businesses with my comments that machine learning models aren’t always great at predicting financial asset prices.

Machine Learning 87

Machine Learning Machine Learning Data Scientist ML 87

Pickl AI

JULY 26, 2023

The concepts of bias and variance in Machine Learning are two crucial aspects in the realm of statistical modelling and machine learning. Understanding these concepts is paramount for any data scientist, machine learning engineer, or researcher striving to build robust and accurate models.

Machine Learning 52

Machine Learning Machine Learning Cross Validation Decision Trees 52

Mlearning.ai

SEPTEMBER 2, 2023

AI | MACHINE LEARNING | START-UP This is the story of how my interest in AI takes me to give a talk about AI, train my first machine-learning model, and get my internship at an AI research start-up. Train my first machine-learning model Fast forward to March 16th, 2023, I got into a program called “AI Builders”.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Pickl AI

OCTOBER 17, 2023

Machine Learning Models: How Data Scientists Use ChatGPT Data Scientists use ChatGPT as a powerful ally in the ever-evolving field of Data Science. Data Scientists play a key role in turning unprocessed data into useful insights in the field of machine learning. How would I learn Data Science with ChatGPT?

Data Scientist 52

Data Scientist Machine Learning Machine Learning Data Analysis 52

Flipboard

AUGUST 29, 2023

While AI is often thought of as human-free machine learning, the technology actually relies on the labor-intensive efforts of a workforce spread across much of the Global South and often subject to exploitation.

Machine Learning 92

Machine Learning Machine Learning AI AI 92

KDnuggets

NOVEMBER 20, 2019

Your spectacularly-performing machine learning model could be subject to the common culprits of class imbalance and missing labels. Learn how to handle these challenges with techniques that remain open areas of new research for addressing real-world machine learning problems.

Machine Learning 180

Machine Learning Machine Learning Data Preparation 180

Smart Data Collective

DECEMBER 23, 2019

Author Beverly Rich has said that AI and machine learning will be integral to contracts in the 21 st Century. Machine Learning is Redefining Business Contracts as We Head into 2020. Machine learning is going to have an even more important role in these processes in the future. Documentation.

Machine Learning 61

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 61

Machine Learning Research at Apple

APRIL 28, 2024

While self-supervised learning (SSL) can mitigate this need, recent studies on SSL for sleep staging have shown performance gains saturate after training with labeled data from only tens of subjects, hence are unable to match peak performance attained with larger datasets.

Supervised Learning 147

Supervised Learning Deep Learning Deep Learning 147

Flipboard

MAY 5, 2023

Chris Cowell, a Portland, Ore.-based based software developer, spent more than a year writing a technical how-to book. Three weeks before it was released, another book on the same topic, with the same title, appeared on Amazon. “My My first thought was: bummer,” Cowell said. “My My second thought was: You know …

Computer Science 126

Computer Science Computer Science Artificial Intelligence Artificial Intelligence 126

Analytics Vidhya

DECEMBER 7, 2023

The exam primarily tests the comprehensive understanding of undergraduate subjects in engineering and sciences. Introduction The Graduate Aptitude Test in Engineering (GATE) is an entrance examination conducted in India for postgraduate admission.

Data Science 250

Data Science AI AI Analytics 250

Becoming Human

MAY 10, 2024

One breakthrough tool is the Segment Anything Model (SAM), which has dramatically simplified isolating subjects in images. How It Works Image Upload and Subject Selection: Users start by uploading an image and selecting the main object they wish to isolate. The result is a seamlessly modified image that aligns with the user’s vision.

AI 52

AI AI Artificial Intelligence Artificial Intelligence 52

KDnuggets

JANUARY 5, 2022

During transfer learning, the knowledge leveraged and rapid progress from a source task is used to improve the learning and development to a new target task. Read on for a deeper dive on the subject.

Machine Learning 369

Machine Learning Machine Learning 369

Analytics Vidhya

AUGUST 18, 2022

Dear Readers, Data Science is a vast subject, and the learning you can get is immense. And we at Analytics Vidhya always try to bring new learning topics and build up your skills. The post The DataHour: Your Upcoming Learning Timeline appeared first on Analytics Vidhya. So, keep your notepad handy and […].

Data Science 361

Data Science Analytics Analytics Deep Learning 361

Analytics Vidhya

MAY 19, 2022

Introduction on CNN Architecture Hello, and welcome again to another intriguing subject. As a consequence of the large quantity of data accessible, particularly in the form of photographs and videos, the need for Deep Learning is growing by the day. This article was published as a part of the Data Science Blogathon.

Deep Learning 374

Deep Learning Deep Learning Data Science Analytics 374