### 10 Algorithms Machine Learning Engineers Need to Know

Want to know the most commonly used algorithms which can be applied to any data issue? Here's the list.

First, choose between two GitHub repos, in terms of deciding whether which CNN is more accurate at classification and which one can be debugged faster. Train the CNN on provided datasets given, and see how the the model classifies based on accuracy. Bayesian Theory implementation is necessary. Neither repo has it. Second, look at the proprietary py script that is already established and will be ...

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find the junction tree of a Bayesian network
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I have an exercise for my project. I already solved it, but I need to see if an expert has the same result as I. I have a minimal Bayesian network (4 nodes). I want you to construct its corresponding junction tree and marginalize the junction tree potentials by message passing. Please note that I only need to double-check my result with someone that knows a lot about the Bayesian network. So plea...

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Projeto ou concurso privado #23621908
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Task for Muhammad Z.
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Important: Content to be created on ‘Bayesian Regression’ Article must be 100% unique. Plagiarized or spun articles will not be accepted. Please create the article in a word document only. The article should: - Be of minimum 2000 words length [code/debug messages during command execution would not be counted as a word]. - Have multiple sub-headings. - Easy readability. No long par...

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Data Science with R
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Bayesian network and CPT, Decision Trees and Random Forests, SVM,Heirarchical Clustering and K Means etc

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Vet the Statistics in my Paper on a Clinical Trial
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I am a medical student. My father has been diagnosed with cancer and I consequently went through the major trials with respect to his treatment. I found that the main trial regarding chemotherapy for his treatment had some statistical analysis I disagreed with. I have outlined my views in a paper. Since my background is not primarily statistical, I am seeking assistance to vet the statistical ...

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exact inference in Bayesian network
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I have a very small Bayesian network (4 nodes). I want you to construct its corresponding junction tree and marginalize the junction tree potentials by message passing.

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Use the junction tree algorithm to inference in a Bayesian network

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Projeto ou concurso privado #22966122
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Bayesian probabilities and markov chains in R
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Write code in R programming to perform resulting from a Bayesian analysis by doing simulation for data set, will provide more information in chat.

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Optimisation analysis for portfolio’s, Bayesian Analysis, Lagrange multipliers, linear equations, optimal portfolio
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Have an understanding of decision trees, using Bayesian analysis, able to understand expected revenue from portfolio, for a number of stocks formulate an optimisation problem using Lagrange multipliers and find linear equations, finding optimal portfolio for a fixed rate of return. If have a good understanding contact me.

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Help with a problem in Bayesian statistics using R
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Working on a problem that involves the use of R and some advanced use of Bayesian statistics. The problem is attached and looking for someone who can perform the needed calculation and R-code.

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Machine Learning Bayesian methods on new data-set
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Hi, I am looking for someone who can help me produce results from 3 papers on new data-set. I already have the code and have also reproduced results on 1 data-set, I need two more data-sets used on them. Due to time constraint, im unable to do it. So im looking for someone who can do it really quick for me. This is really urgent. Thank You.

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ALOSI and Moodle communication -- 2
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We need to establish communication between the Moodle LMS ([fazer login para ver a URL]) and the ALOSI Adaptive Engine ([fazer login para ver a URL]) through the Bridge for Adaptivity ([fazer login para ver a URL]). The communication should allow to send participant responses from the LMS to the Adaptive Engine (which computes probabilities through a Bayesian algorithm) and then return the results...

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Bayesian Statistical Calculator
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Bayes calculator that can handle 10 evaluations (or more) at a time. Either web-based or Android- iOS based. Libraries are readily available. Probably java.... your choice. The calculator at this link is basically what is needed: [fazer login para ver a URL]

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Bayesian data analysis, AB testing, data science
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I am working as a data scientist in IRI Greece and I am also a consultant for smaller firms. The project will have to do with AB testing and probably more advanced topics that I do not feel very confident. The project will be assigned next Wednesday and needs to be finished within 5 days. The expected time for it is 7 to 8 hours. All the results must be presented to a jupyter notebook in a very ...

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bayesian networks
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Must be familiar with bayesian network and the theory behind it.

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bayesian network
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Must be familiar with bayesian network and the theory behind it.

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Machine learning: - Probabilistic inference experience (Baysian) - Gaussian processes - Python: numpy, pandas, either pytorch or tensorflow, either pyro or tensorflow probabilities - Active learning or Bayesian optimization (Baysian neural networks Nice to have: - AWS - Flask - Postgres database Example task: - you receive a multi-feature data set (between 3 and 100 features) which is only partly...

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it can be made in excel or other useful software

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ALOSI and Moodle communication
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We need to establish communication between the Moodle LMS ([fazer login para ver a URL]) and the ALOSI Adaptive Engine ([fazer login para ver a URL]) through the Bridge for Adaptivity ([fazer login para ver a URL]). The communication should allow to send participant responses from the LMS to the Adaptive Engine (which computes probabilities through a Bayesian algorithm) and then return the results...

$588
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Simulation for Cluster based wsn for selfishness and attacks and using svm and Bayesian classification
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Project Details We need to develop WSNs that contains normal nodes, selfish nodes and a base station. All sensor nodes have to follow the configuration i.e. 1: One hop away neighbor list 2: Energy consumption 3: Reputation system Regular working and communication paradigm Each sensor node senses their physical phenomena and sends this information to their neighbor nodes. Neighbor forwards this inf...

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Bayesian Inference in Pharmacodynmics using ODE models
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I am an undergraduate student in Biostatistics and I need help with a weekly project. The project is called Bayesian Inference in Pharmacokinetics. I have to create 3 ODE models (one for each individual , one for the population and a mixed and random effects model) in R using rstan package. I only need the code in R.

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Machine Learning tutorial
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I am looking for a tutor to help me with the Machine learning course. The tutorial sessions will be two hours a week, 1 hour explaining the topic and 1hour practical session on Python using Jupyter notebook. The most convenient times for the sessions are either Wednesday 17:00-19:00 GMT or Thursday 9:00-11:00. The topics in the course are as follow: 1- Intro to ML and review of probability 2-obj...

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create a python program from rating system
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There is a math model for evaluating player performance within teams called TrueSkill used by Microsoft on XBox Live. A user created a python program from the model which seems to work well There has been an update to the trueskill model, called trueskill2. I would like a python program made that can be used for this trueskill2. It is for personal use only, so does not violate any copyright by m...

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Bayesian decision & training data
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I need matlab code for Bayesian decision rule from training data. I will provide complete details in the chat.

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Expert in probabilities
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I want someone who is expert in Bayesian Networks and who is familer with OpenMarkov.

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Bayesian analysis expert required!!!
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My team are making a machine that counts 5 different products which are randomly distributed. We need to calculate efficient sample size first and then some analysis.... Detail must be shared with a selected candidate. We need R code. Thank you.

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Secure framework based on Reputation system using data mining algorithm against the selfishness attacks
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I need a secure framework in cluster-based wireless sensor network against the selfishness attack and selfishness oriented attacks that will use a distributed clustering algorithm and reputation system and data mining techniques such as Bayesian rule at sensor nodes and support vector machine at the sink node. We made the following assumptions ie. WSNs consists of N sensors and one base station an...

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Bayesian inference formula
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I need a statistician that is willing to work with me on developing an algorithm based on data points collected over time that provides predictions for when the peak future data times will be.

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Help in Thesis Writing
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Project is related to Bayesian statistics and astrophysics, Cosmic Microwave Background, Implementation is done, Need some help in the writing section.

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Configure SpamAssassin in cpanel
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I am looking for a freelancer who are expert in php and system admin. I need some help with checking my emails for spam as I have set up email client using PHP. I dont know how to get the PHP to command with spamassassin to check my emails for spam and also to mark my emails as spam. However I have been researched and I have found that I would need to use spamassassin's bayesian classifier so...

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Markov chain Monte Carlo
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The rich ITS data is a precious resource for transportation researchers and practitioners. However, the usability of such resource is greatly limited by the issue of data missing. A lot of imputation methods have been proposed in the past decade. However, some issues are still not or not sufficiently addressed. For example, the missing of entire records, temporal correlation in observations, natur...

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private party needs help "translating" statistical models for prediction of association football matches presented at a conference in 2013. As well as sourced reference. Poisson, Bayesian, Markowitz etc. Also "first models of predicted scoring made by Maher in 1982.

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Conditioanal Probability Tutor -- 2
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Need someone who can help me understand conditional probability better Must know intersection, bayesian theorem

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python programming inference
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Need someone who is knowledgeable with bayesian inference. must know how to code using python 3

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Bayesian Network Python Game
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Need someone who can program in python, ability to write a detailed explaination is a must. Must be done in less 24 hours.

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Conditioanal Probability Tutor
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Need someone who can help me understand conditional probability better Must know intersection, bayesian theorem

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machine learning(Bayesian Interpretation of Regularization)
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The project involves some manipulations with the formulae of Bayesian Interpretation of Regularization. It needs to be completed within 6 hours

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Powerpoint needed
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I need someone to make me a powerpoint of few pages. To act as a proposal for my intending writing. It should be about 8 pages. paying 10aud. Topic is Bayesian way of predicting the price of gold found on Page 68.

$6 / hr
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Machine Learning
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Dear all, I need help with a short project which involves analysing logistics regression, kernelizing the perception, building the nn from the scratch and applying the Bayesian interpretation of regularisation. The deadline for the project is at 11pm Pacific time on Tuesday 30th of July. The more detailed problem will be sent to the interested candidates.

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I need a skilled Excel programmer to pull in real-time stock market data and generate automated input/output data with a formula that I've built. Bonus if you have experience with Bayesian Theory and can help me build a data model around that with the formula I have. Attached I have the example of the formula and will share you my Google Sheet once you are approved for the project.

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Statistical Analysis using R and Mathematica
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Skills: R, Mathematica, Python Standard Deviation, Hypothesis Testing and Bayesian Analysis

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markov chain monte carlo multiple imputation for incomplete ITS data using Bayesian -- 2
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The rich ITS data is a precious resource for transportation researchers and practitioners. However, the usability of such resource is greatly limited by the issue of data missing. A lot of imputation methods have been proposed in the past decade. However, some issues are still not or not sufficiently addressed. For example, the missing of entire records, temporal correlation in observations, natur...

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Build a Bayesian inference in Python to predict colours
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I need a bayesian inference, using Markov Chain or Monte Carlo, in Python, to predict the next boxes colours based on past colours. The past data has the following data: Index, Begin timestamp, End timestamp, Box colour Example: 1, 2019/05/14 15:10, 2019/05/14 16:35, Blue 2, 2019/05/14 16:35, 2019/05/14 17:01, Blue 3, 2019/05/14 17:01, 2019/05/14 19:50, Blue 4, 2019/05/14 19:50, 2019/05/14 21:...

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Build me a code
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The rich ITS data is a precious resource for transportation researchers and practitioners. However, the usability of such resource is greatly limited by the issue of data missing. A lot of imputation methods have been proposed in the past decade. However, some issues are still not or not sufficiently addressed. For example, the missing of entire records, temporal correlation in observations, natur...

$156
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Bayesian Analysis , statistic
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first we need to identify goodeness of fit estimate data by MLE than using Bayesian estimate of parameter Empirical Bayesian estimate of parameter by Bootstrap resampling and Jackknife resampling

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RL, engineering and Bayesian optimization for Trading
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Looking for Expert on Reinforcement Learning, engineering and Bayesian optimization and AI to optimize existing code and integrate with Exchanger like Bitmex or Binance for auto trading.

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Forex Forecasting ML
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Looking for a developer who has experience developing Trading ML. the project will be urgent and only freelancers with free-time should bid to submit as soon as possible. its based on G8 making it total 28 currencies. Input: 1. dukascopy data that will have bid,ask volume etc... 2. CFTC that will be scrapped using python. 3. forex calendar 4. outlook sentiment ML: it will base its buy sell signal...

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Want to know the most commonly used algorithms which can be applied to any data issue? Here's the list.

Open Source tools are an excellent choice for getting started with Machine learning. This article covers some of the top ML frameworks and tools.