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AI/ ML/ Datascience Expert for Teacher

€12-18 EUR / hour

Cerrado
Publicado hace más de 3 años

€12-18 EUR / hour

Hello, I am looking for an AI/ML expert to teach me about the conept and processes of AI projects in more detail. I have taken various beginner courses about Datascience. So I would say I know the basic concepts. My goal is not to become a datascientists but as a mangement consultant to have a deep enough understanding to hire the right people and communicate effieciently with them as well to be able to judge the quality of their work and ideas. I also want to be able to communicate to stakeholder mostly non technnical people and cannot do this effectively if I do not have deeep enough knowledge myself. I am looking for someone who has at least 5 years of practical experience working for an organisation as a datascientist or consultant for major company (not only theoretical experience yourself). If you have experience as a teacher that is a plus. You must be able to communicate complex concepts as easily as possible. I do not want to understand all the udnerlying math (though I do have a basic concept understanding of the most basics like mean, median, variance, standard deviation, linear regression - the most basic stuff) but the intuition and why behind it. I also want to learn about alternative no code tools like Dataprep/Trifecta, Google AutoML and similar. Lessons should be tailored individual to pre-discussed questions not like a general beginner course like these are the phases of building an AI model. You should have sample datasets and explain your concepts with it. You must be able to communicate clearly in English (or German if you can) via voice calls and shared screens. You must therefore have an internet connection that is fast enough to handle this. If you are near German timezone that is a plus. !!!!IMPORTANT start your application by explaining in your own words 1.) the difference between a regular database and a data warehouse 2.) the difference between recall and precision Thanks.
ID del proyecto: 28179629

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5 propuestas
Proyecto remoto
Activo hace 3 años

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5 freelancers están ofertando un promedio de €18 EUR /hora por este trabajo
Avatar del usuario
Answers : 1. Data warehouse is like a layer of data on database 2. Precision is about testing the algorithm performance on ther than trained system and recall is about number of correct predictions out of all correct true label's Hey! I am having 4+ years of Industry Experience in Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision Applications. I am the correct person if you are looking for a tutor in Machine Learning as I am currently Teaching Machine Learning for a person from japan ( through freelancer ) and Computer Vision to a person in Tunisia ( through freelancer). I am taking daily classes for them and helping them to learn Machine Learning and Computer Vision. I am availbe to take daily classes as needed by you. Link for previous ML teaching on freelancer - https://www.freelancer.in/projects/python/Teacher-for-machine-learning-27581863/proposals https://www.freelancer.in/projects/machine-learning/Machine-Learning-Tutor-Python-Numpy/proposals Message me to discuss more details
€15 EUR en 40 días
4,8 (32 comentarios)
5,4
5,4
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Hi , I am a datascientist, your project is intresting, contact me! Database: data collected for storage. Data Warehouse: A type of database containing copies of transaction. Recall: Number of documents correctly classified/Number of documents classified as i Precision: Number of precise document of a class i/number of documents attributed to class i
€15 EUR en 40 días
4,4 (27 comentarios)
4,6
4,6
Avatar del usuario
simply: DW is centralized location to store all data, OLAP system for analyzing the historical data DB: the OLTP system that run the system , relational data base ..etc Precision is the ratio between the True Positives and all the Positives The recall is the measure of our model correctly identifying True Positives .. used when we care about little false negative(type 2 error)
€15 EUR en 20 días
5,0 (16 comentarios)
4,2
4,2
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Hello there, Firstly, the responses to your questions below 1. Database and data warehouse are both fundamentally meant for storing data but data warehouse is a layer on top of a regular database to enable fast and complex Analytics and operations on the data available in a database. Database is in itself is not ideal to run complex analytics across multiple systems but suitable to capture transactional data mostly, like retail transactions at a store but to produce advanced analytics and reports using that data, it will be ideal to create an OLAP layer which will enable faster retrieval and processing of data. 2. Precision and recall are commonly used to evaluate the performance of classification models. Precision is basically what fraction of the data points classified under a particular category are actually correct. Other way to say this is that it is ratio of true positives to total positives predicted by the model. Recall is what fraction of the datapoints belonging to a certain category was the model able to detect correctly, in other words ratio of predicted true positives to the total positives that actually exist in the data. I am a data science consultant with more than 8.5 years of experience working full time with clients across the globe in data driven decision making. I have trained more than 1200 busines leaders and specialized in bridging the gap between data and business teams. Hoping to work with you! Best, Yash
€25 EUR en 40 días
0,0 (0 comentarios)
0,0
0,0

Sobre este cliente

Bandera de GERMANY
Mannheim, Germany
5,0
22
Forma de pago verificada
Miembro desde dic 9, 2015

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