One needs a Rich Source of ML Projects that lie in automating works. This is being accomplished today, by using a technology, known as Supervised Learning. Here you find ML is best for automating tasks rather than jobs. Source: https://bit.ly/2JV7TWB Know Your Leader Selecting a person ...
You need to understand the business problem and come up with a rough idea of how you are going to use machine learning to solve it. Look for research papers, open source projects, tutorials, and similar applications used by other companies. Make sure your solution is realistic, and data is...
Machine Learning Projects-Dive deeper into interesting domains with larger projects. Back to Table of Contents Free Self-Study Machine Learning Course Step 0: Prerequisites Machine learning can appear intimidating without a gentle introduction to its prerequisites. You don't need to be a professional ...
If you’re looking to dive into the world of machine learning projects but don’t know where to start, our data pro has curated 12 of the best ML projects.
\1. To help you practice strategies for machine learning, in this week we’ll present another scenario and ask how you would act. We think this “simulator” of working in a machine learning project will give a task of what leading a machine learning project could be like! (为 了帮助你...
1.70 stars / hour Paper Code Merlion: A Machine Learning Library for Time Series salesforce/merlion•20 Sep 2021 We introduce Merlion, an open-source machine learning library for time series. Anomaly DetectionBIG-bench Machine Learning+2
After a hiatus, we thought the idea deserved another follow-up.This post will showcase 5 machine learning projects that you may not yet have heard of, including those from across a number of different ecosystems and programming languages. You may find that, even if you have no requirement ...
(or just your best projects) as “projects” on LinkedIn. It supports the idea of projects and you may have to create a job for them to be listed against. Consider the name of your blog, your sole trader company or invent a relevant job and title such as “Machine Learning Mastery” ...
The idea of BPA is to recalculate the weights array in the last neuron layer based on error (or loss) calculation and proceed towards the previous layers, from back to front. In this way, all the weights in each layer area recalculated, from the last one until reaching the input layer ...
DVC - Data Science Version Control is an open-source version control system for machine learning projects with pipelines support. It makes ML projects reproducible and shareable. DVClive - Python library for experiment metrics logging into simply formatted local files. VDP - open source visual data...