Willix Halim on data science and funnel optimization
I need several algorithms to find K-Partially Disjoint paths in a given graph. I need to compare these algorithms myself to find which one is the best for my project. Thus, I need you to provide me with the reference papers and their implementations in Python. For the proposal, list the algorithms that you will implement and their reference papers.
we need python hacker to optimise our current codebase, make it faster and develop integration with tensor-flow or similar. it is best if you are available part time - preferably 4 hours a day or maybe 3 full days a week. no agents, companies, etc, we want to work with you, dear programmer, directly and want you to be part of our distributed team.
With the number of options we have in the world, simple choices of deciding where to eat has become one of the hardest things in the world. Creation of an AI solution that learns about its user refining and morphing into being able to make selections in places to eat, hotels, running gear. All in all intelligent assistant that can understands you and take the simple challenges in life out. W...
I am buying engines from Chonqging city in China and I need an Chinese Engineer to test and check the engines If you amsure you know enough about Chinese manifuctures that produce generators, waterpumps, construction machinary and enginwes please apply Thank
Semi-supervised Learning. Semi-supervised learning is a long-standing and important problem in Machine Learning. One of the main goals of generative modeling is to discover useful representations that can be used in the downstream tasks such as semi-supervised learning. The second problem is that these models tend to use all their capacity to capture the low-level pixel statistics, and hence the g...
I'm looking for private lesson with experienced developer/coaching, I wanna solve few tast with him. Best specialization: C/C++/Python/Machine learning/Image processing/algorithm. I would like to cooperate with some one and solve and discuss few task/algorithm.
The project consists of building a machine learning algorithm that is capable of : (1) being trained (2) detecting TCP/IP packets with anomalies (3) classifying the packets with anomalies into classes/categories *** TCP/IP skills are necessary ***
Looking for a open source solution to import data, analyze data and publish sentiments in dashboards format. I need to analyze a lot of data, 1. extract Product names and their comments sentiments. 2. extract company names and their related products, and product wise sentiment view 1. Create one API in Azure to receive requests for search queries 2. Execute keyword search via google and MS bi...
POC for Machine Learning using TensorFlow & Robotic Process Automation