Essays about: "Forest companies"

Showing result 1 - 5 of 428 essays containing the words Forest companies.

1. 1. Var kommer intresset till hyggesfritt skogsbruk ifrån?

   University essay from SLU/School for Forest Management

   Author : Andreas Bohman; Eskil Calmered Tersmeden; [2024]
   Keywords : skogsvärden; intervjustudie; enkätundersökning;

   Abstract : Hyggesfritt skogsbruk är något som mer och mer ses som ett intressant alternativ för skogsägare. Det diskuteras hyggesfritt skogsbruk i olika debattforum, på nyheter och i politiska sammanhang. Även hos de väletablerade skogsföretagen pågår diskussioner om hyggesfritt. READ MORE

3. 2. ML implementation for analyzing and estimating product prices

   University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

   Author : Abel Getachew Kenea; Gabriel Fagerslett; [2024]
   Keywords : Machine Learning; ML; Regression; Deep Learning; Artificial Neural Network; ANN; TensorFlow; ScikitLearn; CUDA; cuDNN; Estimation; Prediction; AI; Artificial Intelligence; Price Tracking; Price Logging; Price Estimation; Supervised Learning; Random Forest; Decision Trees; Batch Learning; Hyperparameter Tuning; Linear Regression; Multiple Linear Regression; Maskininlärning; Djup lärning; Artificiellt Neuralt Nätverk; Regression; TensorFlow; SciktLearn; ML; ANN; Estimation; Uppskattning; CUDA; cuDNN; AI; Artificiell Intelligens; pris loggning; pris estimation; prisspårning; Batchinlärning; Hyperparameterjustering; Linjär Regression; Multipel Linjär Regression; Supervised Learning; Random Forest; Decision Trees;

   Abstract : Efficient price management is crucial for companies with many different products to keep track of, leading to the common practice of price logging. Today, these prices are often adjusted manually, but setting prices manually can be labor-intensive and prone to human error. READ MORE

4. 3. Stock Price Predictions for FAANG Companies Using Machine Learning Models

   University essay from Lunds universitet/Statistiska institutionen

   Author : Hugo Dahlquist; Fredrik Fourong; [2024]
   Keywords : Random Forest; Artificial Neural Networks; Stock prices; Predictions.; Mathematics and Statistics;

   Abstract : The financial industry is one of the highest grossing sectors in the world as it is estimated to represent 24\% of the global economy. As most companies want their asset value to increase, it is of high interest to make good investments which will increase in either the short or long run. READ MORE

5. 4. Påverkar medlemmarnas engagemang uppfattningen av medlemskap, förtroende och socialt kapital? : en komparativ studie mellan olika engagemangsnivåer bland medlemmar

   University essay from SLU/Dept. of Economics

   Author : Lukas Hüllert Åkesson; Gabriella Ivedal; [2024]
   Keywords : kooperativ; medlemskap; förtroende; socialt kapital; lantbrukskooperativ; skogskooperativ;

   Abstract : Sverige är unikt som land med sin höga andel skog av den totala ytan, 75% utgörs av jord- och skogsmark, vilket motsvarar 30,9 miljoner hektar. Det gör att skogsnäringen har en viktig roll för Sverige, både för handeln, exporten och sysselsättningen inom landet. READ MORE

6. 5. Credit Card Approval Prediction : A comparative analysis between logistic regressionclassifier, random forest classifier, support vectorclassifier with ensemble bagging classifier.

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Dhanush Janapareddy; Narendra Chowdary Yenduri; [2023]
   Keywords : Machine Learning; Logistic Regression; Random Forest; Support Vector Machine; Ensemble Learning Bagging.;

   Abstract : Background. Due to an increasing number of credit card defaulters, companies arenow taking greater precautions when approving credit applications. When a customermeets certain requirements, credit card firms typically use their experience todecide whether to grant them a credit card. READ MORE