Pickl AI

SEPTEMBER 4, 2023

Statistical Analysis: Apply statistical techniques to analyse data, including descriptive statistics, hypothesis testing, regression analysis, and machine learning algorithms. Networking: Attend conferences, seminars, and workshops related to statistics and data analysis. Clean and preprocess data to ensure its quality and reliability.

Data Analysis 52

Data Analysis Machine Learning Python Continuous Learning 52

Heartbeat

JULY 11, 2023

It entails creating and using algorithms and methods to provide computers with the ability to recognize, decipher, and produce human language in a natural and meaningful manner. It entails employing algorithms and techniques to process and extract meaning from human language. Innovation and academia go hand-in-hand. articles, videos).

NLP 40

NLP Natural Language Processing Chatbots Algorithm 40

Dlabs.ai

AUGUST 20, 2020

A Guide for Making Black Box Models Explainable Author: Christoph Molnar If you’re looking to learn how to make machine learning decisions interpretable, this is the eBook for you! It explains how to make machine learning algorithms work. Interpretable Machine Learning. His online courses were attended by over 2.5

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 52

NYU Center for Data Science

AUGUST 24, 2023

The group, however, quickly became well-known for a seminar that still serves as its flagship: the MaD seminar. Bruna and the early organizers of the MaD group crafted this seminar to be a nexus of research on the theoretical foundations of data science and machine learning. It can also be approached in a variety of ways.

Neural Network 70

Neural Network Data Science Machine Learning Explainability 70

Heartbeat

MARCH 21, 2023

I was interested to see what types of problems were solved and which particular algorithms were used with the different loss functions. Although I’m well versed in certain machine learning algorithms for building models with structured data, I’m much newer to computer vision, so exploring the computer vision tutorials is interesting to me.

Computer Vision 52

Computer Vision Categorization Deep Learning Machine Learning 52

Heartbeat

MAY 11, 2023

Listen to our own CEO Gideon Mendels chat with the Stanford MLSys Seminar Series team about the future of MLOps and give the Comet platform a try for free ! ✨ The algorithm for selecting layers in the model quantizes certain parts to minimize loss of information while ensuring a balance between latency and accuracy.

Computer Vision 75

Computer Vision Deep Learning Data Scientist ML 75

The MLOps Blog

MARCH 21, 2023

The user stories will explain how your data scientist will go about solving a company’s use case(s) to get to a good result. Responsible AI and explainability. Responsible AI and explainability component To fully trust ML systems, it’s important to interpret these predictions. Model serving.

Machine Learning 69

Machine Learning Data Scientist Metadata ML 69