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    ...Markov cachés Conditional Random fields and structured outputs I The logistic regression model – Model specification – Maximum Entropy Modeling – Parameter estimation – Improvements to the logistic regression model (l2 and l1 regularization, kernel logistic regression) I Conditional Random Fields (for sequential data) – Feature funct...

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    ...Markov cachés Conditional Random fields and structured outputs I The logistic regression model – Model specification – Maximum Entropy Modeling – Parameter estimation – Improvements to the logistic regression model (l2 and l1 regularization, kernel logistic regression) I Conditional Random Fields (for sequential data) – Feature funct...

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    1 offres

    ...Markov cachés Conditional Random fields and structured outputs I The logistic regression model – Model specification – Maximum Entropy Modeling – Parameter estimation – Improvements to the logistic regression model (l2 and l1 regularization, kernel logistic regression) I Conditional Random Fields (for sequential data) – Feature funct...

    €267 (Avg Bid)
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    Bonjour, Je cherche un model de gestion sous Excel dans le but de calcul la rentabilité, marge, impact sur le résultat de l'entreprise de chaque devis avant l'acceptation par le client. A partir ce model de gestion je serai capable à déterminer mes charges fixe, le seuil de rentabilité, mes résultats à la fin d'ann&eacu...

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    Bonjour, Je cherche un model de gestion sous Excel dans le but de calcul la rentabilité, marge, impact sur le résultat de l'entreprise de chaque devis avant l'acceptation par le client. A partir ce model de gestion je serai capable à déterminer mes charges fixe, le seuil de rentabilité, mes résultats à la fin d'ann&eacu...

    €156 (Avg Bid)
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    Bonjour, Je cherche un model de gestion sous Excel dans le but de calcul la rentabilité, marge, impact sur le résultat de l'entreprise de chaque devis avant l'acceptation par le client. A partir ce model de gestion je serai capable à déterminer mes charges fixe, le seuil de rentabilité, mes résultats à la fin d'ann&eacu...

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    Calculateur d'IMC on ligne S'est terminé left

    I want a software for calculating and monitoring body mass index : The calculation is as follows: Weight in kilograms / (height in meters * height in meters) The result of this calculation is shown below the button “Je calcule mon IMC” with a comment : - If the result is less than 18.5, the comment is displayed as follows: Vous êtes en

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    We are logistic distribution company, who is looking for a developer who able to ...able to install and implement latest odoo enterprise on 3rd party vps provider. customisation required compare to the live demo: 1. Customisation of document template 2. Calculating COGS percetage 3. Invoice due date reminder 4. Creating catalog from the inventory list

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    ...4. FBA 0-5 5. Without supermarkets like Costco / Walmart / Ebay / Sears / 6. Without variations, only a single item. 7. Open brand (Don`t need approval to sell) 8. When calculating, use up to 10 units 9. The price of the purchase of goods to $ 20 10. Delivery of goods 1-5 days. 11. Product must be from certain categories, which are listed in the list

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    Multiple regression analysis to test the hypotheses (Cohen et al. 2003). To avoid problems with multicollinearity, we mean-centered the exogenous variables, as Cohen and colleagues (2003) recommend. The variance inflation actors indicate that multicollinearity is not a threat to the conclusions of the study. To test for the relative magnitude of the

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    ...DELIVERABLES ARE You have to send back the output of the regression (coefficients, graphs) in a way, that it can be used in Microsoft Word or Excel, if possible. The regression needs to be done using Feasible Generalized Least Squares AND Maximum Likelihood The output table of the regression needs to contain: - Beta coefficients - Error term - Squared

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    ...system/solution and looking for a consultant who can work with us and deliver excel based model on Various Physical and Derivative commodities in Agriculture space. The model should cover entire flow of Instrument valuation, various Hedge Effectiveness testing - Dollar Offset, Linear Regression and generation of A/C Entries based upon Cash Flow and Fair Value

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    Trophy icon Unicorns and Rainbows 4 jours left

    Hi All, I need 2 images for some slides. The topic is about UI regression and how something great can become something with the same elements, but now be not so great. I would like both images to be of a super sonic rainbow powered unicorn (or alicorn/pegacorn). The unicorn in both images needs to be obviously the same animal. Impressions

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    Create a football betting model 4 jours left
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    ...to implied by the betting market goal and win supremacy. Then model should look back over the season's games for each football league and use (probably?) standard linear regression techniques to come up with a set of rankings that are most consistent with the derived before goals and supremacy values for those games Here's a good explanation of what

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    ...effectively have two tasks that I need completed: Quasi-replication of Excel's MATCH() and OFFSET() functions in Python/pandas. An example of what I want to replicate is in the Excel sheet attached, as well as in the picture attached. Note that both of these function need to look forward in the dataframe, as opposed to backwards, as in pandas .rolling()

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    ...not have the exp to deal with it. PS: No Teams just developers. Don't want to deal with middle men. The following page, is showing profit and loss for each race. Its not calculating correctly and is not showing the profit and loss correctly. See -> [se connecter pour voir l'URL] On race id 5: we should have a winner but the profit and loss is not showing.

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    ...04/08/18 $24 A 05/20/18 $40 B 05/21/18 $7 A 05/23/18 ($5) Start 01/16/18 End 05/20/18 The challenge I am having is skipping past the Investment B cash flows and only calculating Investment A. This is a simplified version of what I’m trying to do. The full version has about 50 investment names spread over about 1000 rows. Any suggestions would help

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    We need a Python script to take in any given dataset (meaning either a regression task or a machine learning task) and select features according to four feature selections algorithms which will be provided. We are expecting the following: df_raw df_one df_two df_three df_four where df_raw is what we provide and df_one...df_four are the dataframes you

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    ...effectively have two tasks that I need completed: Quasi-replication of Excel's MATCH() and OFFSET() functions in Python/pandas. An example of what I want to replicate is in the Excel sheet attached, as well as in the picture attached. Note that both of these function need to look forward in the dataframe, as opposed to backwards, as in pandas .rolling()

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    12 offres