Hadoop naive bayes työt
I am in urgent need of Hadoop/Spark developer who is proficient in both Scala and Python for a data processing task. I have a huge volume of unstructured data that needs to be processed and analyzed swiftly and accurately. Key Project Responsibilities: - Scrubbing and cleaning the unstructured data to detect and correct errors. - Designing algorithms using Scala and Python to process data in Hadoop/Spark. - Ensuring effective data processing and overall system performance. The perfect fit for this role is a professional who has: - Expertise in Hadoop and Spark frameworks. - Proven experience in processing unstructured data. - Proficient coding skills in both Scala and Python. - Deep understanding of data structures and algorithms. - Familiarity with data ...
...and natural language processing 3. Strong proficiency in programming languages such as Python, Java, and C++, as well as web development frameworks like Node.js and React 4. Experience with cloud computing platforms such as AWS, Azure, or Google Cloud, and containerization technologies like Docker and Kubernetes 5. Familiarity with data engineering and analytics tools and techniques, such as Hadoop, Spark, and SQL 6. Excellent problem-solving and analytical skills, with the ability to break down complex technical challenges into manageable components and solutions 7. Strong project management and communication skills, with the ability to collaborate effectively with both technical and non-technical stakeholders 8. Familiarity with agile development methodologies and best pr...
We are looking for an Informatica BDM developer with 7+ yrs of experience, who can support us for 8 hours in a day from Mon - Friday. Title : Informatica BDM Developer Experience : 5 + Yrs 100%Remote Contract : Long term Timings: 10:30 am - 07:30 pm IST Required Skills: Informatica Data Engineering, DIS and MAS • Databricks, Hadoop • Relational SQL and NoSQL databases, including some of the following: Azure Synapse/SQL DW and SQL Database, SQL Server and Oracle • Core cloud services from at least one of the major providers in the market (Azure, AWS, Google) • Agile Methodologies, such as SCRUM • Task tracking tools, such as TFS and JIRA
...which will include parameters such as patient age ranges, geographical regions, social conditions, and specific types of cardiovascular diseases. Key responsibilities: - Process distributed data using Hadoop/MapReduce or Apache Spark - Developing an RNN model (preferably Python) - Analyzing the complex CSV data (5000+ records) - Identifying and predicting future trends based on age, region, types of diseases and other factors - Properly visualizing results in digestible diagrams Ideal candidates should have: - Experience in data analysis with Python - Solid understanding of Hadoop/MapReduce or Apache Spark - Proven ability in working with Recurrent Neural Networks - Excellent visualization skills to represent complex data in static or dynamic dashboards - Experien...
I am looking for an experienced Senior Data Engineer for interview training. Your primary responsibility would be data cleaning and preprocessing, design and optimize database and implem...preprocessing, design and optimize database and implement ETL processes. Key responsibilities include: - Clean and preprocess data to ensure its quality and efficiency. - Design and optimize databases, aiming for both flexibility and speed. - Implement ETL (Extract, Transform, Load) processes to facilitate the effective and secure moving of data. Skills and Experience: - Proficient in Python, SQL, and Hadoop. - Expertise in handling medium-sized databases (1GB-1TB). - Proven track record in ETL processes handling. Your expertise in these areas will be crucial to the successful completion of thi...
I have encountered a problem with my Hadoop project and need assistance. My system is showing ": HADOOP_HOME and are unset", and I am not certain if I've set the HADOOP_HOME and variables correctly. This happens creating a pipeline release in devops. In this project, I am looking for someone who: - Has extensive knowledge about Hadoop and its environment variables - Can determine whether I have set the HADOOP_HOME and variables correctly and resolve any issues regarding the same - Able to figure out the version of Hadoop installed on my system and solve compatibility issues if any I will pay for the solution immediately.
*Title: Freelance Data Engineer* *Description:* We are seeking a talented freelance data engineer to join our team on a project basis. The ideal candidate will have a strong background in data engineering, with expertise in designing, implementing, and maintaining data pipelines and infrastructure. You will work closely with our data scientists and analysts to ensure the smooth flow of data from various sources to our data warehouse, and to support the development of analytics and machine learning solutions. This is a remote position with flexible hours. *Responsibilities:* - Design, build, and maintain scalable and efficient data pipelines to collect, process, and store large volumes of data from diverse sources. - Collaborate with data scientists and analysts to understand data require...
As a beginner, I am seeking a knowledgeable developer who can guide me on effectively using Google Cloud for Hadoop, Spark, Hive, pig, and MR. The main goal is data processing and analysis. Key Knowledge Areas Needed: - Google Cloud usage for big data management - Relevant functionalities of Hadoop, Spark, Hive, pig, and MR - Best practices for data storage, retrieval, and workflow streamlining Ideal Skills: - Extensive Google Cloud experience - Proficiency in Hadoop, Spark, Hive, Pig, and MR for data processes - Strong teaching abilities for beginners - Demonstrated experience in data processing and analysis.
I want a proficient developer to create a recommendation system geared towards library users. It should employ a variety of machine learning techniques including KNN, MF, Association Rule Mining, Decision Tree, Naive Bayes, MLP, and Ensemble Learning. The system’s effectiveness should be evaluated using several methods as below: - RMSE - MAE - MSE - Accuracy - Precision Recall - F1 score Use Book Crossing Dataset Code must be in python and don't use specific recommender system library i.e., surprise etc. The successful freelancer must have appreciable knowledge and expertise across these various machine learning techniques, and previous experience building effective recommendation systems. Experience working on recommendation systems for a library or similar ins...
As a beginner, I am seeking a knowledgeable developer who can guide me on effectively using Google Cloud for Hadoop, Spark, Hive, pig, and MR. The main goal is data processing and analysis. Key Knowledge Areas Needed: - Google Cloud usage for big data management - Relevant functionalities of Hadoop, Spark, Hive, pig, and MR - Best practices for data storage, retrieval, and workflow streamlining Ideal Skills: - Extensive Google Cloud experience - Proficiency in Hadoop, Spark, Hive, Pig, and MR for data processes - Strong teaching abilities for beginners - Demonstrated experience in data processing and analysis.
...4) A test sheet name starts with the number of the target variable (or target column) where we have to predict the 7 numbers. 5) Each of the 50 sheets of the workbook has a list of 9 numbers predicted by different ML models. The models used were RF - Random Forest Classifier, SVML - SVM Linear Classifier kernel, SVMR - SVM RBF Classifier kernel, SVMP – SVM poly classifier kernel and NB - Naive Bayes Classifier. 6) The actual 7 values or pattern numbers are given in the coloured cells in the top left of each sheet. Wherever these numbers have occurred in prediction results are also coloured with respective colours. 7) You may also notice something like - 388-1, 388-2, 388-3, 388-4, etc. These are different variations of test sheets of the dataset numbered 388...
...4) A test sheet name starts with the number of the target variable (or target column) where we have to predict the 7 numbers. 5) Each of the 50 sheets of the workbook has a list of 9 numbers predicted by different ML models. The models used were RF - Random Forest Classifier, SVML - SVM Linear Classifier kernel, SVMR - SVM RBF Classifier kernel, SVMP – SVM poly classifier kernel and NB - Naive Bayes Classifier. 6) The actual 7 values or pattern numbers are given in the coloured cells in the top left of each sheet. Wherever these numbers have occurred in prediction results are also coloured with respective colours. 7) You may also notice something like - 388-1, 388-2, 388-3, 388-4, etc. These are different variations of test sheets of the dataset numbered 388...
...4) A test sheet name starts with the number of the target variable (or target column) where we have to predict the 7 numbers. 5) Each of the 50 sheets of the workbook has a list of 9 numbers predicted by different ML models. The models used were RF - Random Forest Classifier, SVML - SVM Linear Classifier kernel, SVMR - SVM RBF Classifier kernel, SVMP – SVM poly classifier kernel and NB - Naive Bayes Classifier. 6) The actual 7 values or pattern numbers are given in the coloured cells in the top left of each sheet. Wherever these numbers have occurred in prediction results are also coloured with respective colours. 7) You may also notice something like - 388-1, 388-2, 388-3, 388-4, etc. These are different variations of test sheets of the dataset numbered 388...
As a beginner, I am seeking a knowledgeable developer who can guide me on effectively using Google Cloud for Hadoop, Spark, Hive, pig, and MR. The main goal is data processing and analysis. Key Knowledge Areas Needed: - Google Cloud usage for big data management - Relevant functionalities of Hadoop, Spark, Hive, pig, and MR - Best practices for data storage, retrieval, and workflow streamlining Ideal Skills: - Extensive Google Cloud experience - Proficiency in Hadoop, Spark, Hive, Pig, and MR for data processes - Strong teaching abilities for beginners - Demonstrated experience in data processing and analysis.
...last time we filled this job position for over 2 years. 1) Data Analytics with Python Course: Content (introduction to python, data wrangling with pandas, descriptive statistics with python, data visualization with seaborn, t-test/anova /chi-square tests with python, correlation, regression with statsmodel) 2) Machine Learning with Python Course: Content classification(dcision trees, knn, naive bayes, logReg, classifier evaluation) regression (linear regression with normal equation, stochastic gradient descent, polynomial regression, ridge regression, lasso regression, elastic net, early stopping, regression trees) advanced supervised learning concepts (feature extraction, imbalanced data ,cross-validation, hyperparameter tuning with grid and random search, overfitting/...
...commonly used packages specially with GCP. Hands on experience on Data migration and data processing on the Google Cloud stack, specifically: Big Query Cloud Dataflow Cloud DataProc Cloud Storage Cloud DataPrep Cloud PubSub Cloud Composer & Airflow Experience designing and deploying large scale distributed data processing systems with few technologies such as PostgreSQL or equivalent databases, SQL, Hadoop, Spark, Tableau Hands on Experience with Python-Json nested data operation. Exposure or Knowledge of API design, REST including versioning, isolation, and micro-services. Proven ability to define and build architecturally sound solution designs. Demonstrated ability to rapidly build relationships with key stakeholders. Experience of automated unit testing, automated integra...
...4) A test sheet name starts with the number of the target variable (or target column) where we have to predict the 7 numbers. 5) Each of the 50 sheets of the workbook has a list of 9 numbers predicted by different ML models. The models used were RF - Random Forest Classifier, SVML - SVM Linear Classifier kernel, SVMR - SVM RBF Classifier kernel, SVMP – SVM poly classifier kernel and NB - Naive Bayes Classifier. 6) The actual 7 values or pattern numbers are given in the coloured cells in the top left of each sheet. Wherever these numbers have occurred in prediction results are also coloured with respective colours. 7) You may also notice something like - 388-1, 388-2, 388-3, 388-4, etc. These are different variations of test sheets of the dataset numbered 388...
I am looking for a skilled professional who can efficiently set up an big data cluster. REQUIREMENTS: • Proficiency in Elasticsearch,Hadoop,Spark,Cassandra • Experience in working with large-scale data storage (10+ terabytes). • Able to structure data effectively. SPECIFIC TASKS INCLUDE: - Setting up the Elasticsearch,Hadoop,Spark,Cassandra big data cluster. - Ensuring the data to be stored is structured. - Prep for the ability to handle more than 10 terabytes of data. The ideal candidate will have substantial experience in large data structures and a deep understanding of the bigdata database technology. I encourage experts in big data management and those well-versed with the best practices of bigdata to bid for this project.
We are looking for an Informatica BDM developer with 7+ yrs of experience, who can support us for 8 hours in a day from Mon - Friday. Title : Informatica BDM Developer Experience : 5 + Yrs 100%Remote Contract : Long term Timings: 10:30 am - 07:30 pm IST Required Skills: Informatica Data Engineering, DIS and MAS • Databricks, Hadoop • Relational SQL and NoSQL databases, including some of the following: Azure Synapse/SQL DW and SQL Database, SQL Server and Oracle • Core cloud services from at least one of the major providers in the market (Azure, AWS, Google) • Agile Methodologies, such as SCRUM • Task tracking tools, such as TFS and JIRA
I am seeking a skilled professional proficient in managing big data tasks with Hadoop, Hive, and PySpark. The primary aim of this project involves processing and analyzing structured data. Key Tasks: - Implementing Hadoop, Hive, and PySpark for my project to analyze large volumes of structured data. - Use Hive and PySpark for sophisticated data analysis and processing techniques. Ideal Skills: - Proficiency in Hadoop ecosystem - Experience with Hive and PySpark - Strong background in working with structured data - Expertise in big data processing and data analysis - Excellent problem-solving and communication skills Deliverables: - Converting raw data into useful information using Hive and Visualizing the results of queries into the graphical representations. - C...
...currently seeking a Hadoop Professional with strong expertise in Pyspark for a multi-faceted project. Your responsibilities will extend to but not limited to: - Data analysis: You'll be working with diverse datasets including customer data, sales data and sensor data. Your role will involve deciphering this data, identifying key patterns and drawing out impactful insights. - Data processing: A major part of this role will be processing the mentioned datasets, and preparing them effectively for analysis. - Performance optimization: The ultimate aim is to enhance our customer targeting, boost sales revenue and identify patterns in sensor data. Utilizing your skills to optimize performance in these sectors will be highly appreciated. The ideal candidate will be skilled in ...
...R), and other BI essentials, join us for global projects. What We're Looking For: Business Intelligence Experts with Training Skills: Data analysis, visualization, and SQL Programming (Python, R) Business acumen and problem-solving Effective communication and domain expertise Data warehousing and modeling ETL processes and OLAP Statistical analysis and machine learning Big data technologies (Hadoop, Spark) Agile methodologies and data-driven decision-making Cloud technologies (AWS, Azure) and data security NoSQL databases and web scraping Natural Language Processing (NLP) and sentiment analysis API integration and data architecture Why Work With Us: Global Opportunities: Collaborate worldwide across diverse industries. Impactful Work: Empower businesses through data-drive...
Do zrealizowania dwa projekty z moimi własnymi bazami danych w KNIME: 1. KNIME REGRESJA LINIOWA Zbuduj model regresji liniowej dla danych AmesHousing. Wypróbuj różne kombinacje predyktorów (zmienych niezależnych) i znajdź taką, która daje najlepsze R2 adjusted. Przeprowadź kilka prób dla różnych podziałów danych na zbiór treningo...podziałów danych na zbiór treningowy i testowy i zapisuj wyniki w pliku excela (wyjściem węzła Numeric Scorer ma być Excel writer). Sprawdź jak wynik się zmieni jeśli zastosujemy węzeł regresji wielomianowej. KLASYFIKACJA Zbuduj Knime workflow, który zastosuje do danych ClevelandHeartData następujące klasyfikatory: Logistic regression Decision tree Random forest Tree ensemble le...
I'm launching an extensive project that needs a proficient expert in Google Cloud Platform (including BigQuery, GCS, Airflow/Composer), Hadoop, Java, Python, and Splunk. The selected candidate should display exemplary skills in these tools, and offer long-term support. Key Responsibilities: - Data analysis and reporting - Application development - Log monitoring and analysis Skills Requirements: - Google Cloud Platform (BigQuery, GCS, Airflow/Composer) - Hadoop - Java - Python - Splunk The data size is unknown at the moment, but proficiency in managing large datasets will be advantageous. Please place your bid taking into account all these factors. Your prior experience handling similar projects will be a plus. I look forward to working with a dedicated and know...
Urgently seeking a highly skilled WordPress developer available on February 2, 2024, and potentially over the weekend. The project involves complex WordPress tasks, including speed optimization, addressing Linux issues, and resolving core WordPress challenges. Key Require...preferably the following weekend. Advanced WordPress Skills: The candidate should have expert skills in WordPress to tackle complex technical issues. Proven track record in significantly improving WordPress site performance. Work must be done on VM/Remote machines. We do not grant admin access for local work. This is a firm policy. Requests for admin access will be viewed as unprofessional and naive. We believe in professional trust but not in handing over sensitive access to new acquaintances from a freelance...
...commonly used packages specially with GCP. Hands on experience on Data migration and data processing on the Google Cloud stack, specifically: Big Query Cloud Dataflow Cloud DataProc Cloud Storage Cloud DataPrep Cloud PubSub Cloud Composer & Airflow Experience designing and deploying large scale distributed data processing systems with few technologies such as PostgreSQL or equivalent databases, SQL, Hadoop, Spark, Tableau Hands on Experience with Python-Json nested data operation. Exposure or Knowledge of API design, REST including versioning, isolation, and micro-services. Proven ability to define and build architecturally sound solution designs. Demonstrated ability to rapidly build relationships with key stakeholders. Experience of automated unit testing, automated integra...
Mengklasifikasikan data menggunakan python dengan algoritma naive bayes. contoh flow: Frontend mengirim data -> (Klasifikasi) data di python -> passing balik ke frontend. (hanya mengerjakan di klasifikasi) contoh data yang dikirim dari frontend: [51, 68, 25, 8, 29, 22] hasil yang diharapkan: Baik/Sedang/Tidak Sehat/Sangat Tidak Sehat/Berbahaya perhitungan data berdasarkan dari data csv dibawah, terimakasih.
As an ecommerce platform looking to optimize our data management, I require assistance with several key aspects of my AWS big data project, including: - Data lake setup and configuration - Development of AWS Glue jobs - Deployment of Hadoop and Spark clusters - Kafka data streaming The freelancer hired for this project must possess expertise in AWS, Kafka, and Hadoop. Strong experience with AWS Glue is essential given the heavy utilization planned for the tool throughout the project. Your suggestions and recommendations regarding these tools and technologies will be heartily welcomed, but keep in mind specific tools are needed to successfully complete this project.
I'm looking for a talented Python programmer who can create a stack ensemble using multiple machine learning algorithms. The successful freelancer will: - Develop a stack ensemble using: - Random Forest (RF) - Support Vector Machine (SVM) - Logistic Regression (LR) - K Nearest Neighbor (KNN) - Naive Bayes - Compare the output through voting with a trained Artificial Neural Network (ANN). I am seeking a freelancer who has a deep understanding of these algorithms, can showcase their ability to deploy them effectively and explain their approach in a detailed project proposal. The proposed solution should provide comprehensive code implementation and commentary explaining the methods used and their effectiveness. Dataset Utilization: - The KDD-NSL dataset - The...
...basic tweaks. It’s an e-commerce site rich in content, demanding optimizations that maintain high performance and smooth user experience. Requirements: Proven track record in significantly improving WordPress site performance. Work must be done on VM/Remote machines. We do not grant admin access for local work. This is a firm policy. Requests for admin access will be viewed as unprofessional and naive. We believe in professional trust but not in handing over sensitive access to new acquaintances from a freelancer website. The focus is not only on achieving high PageSpeed scores but also on ensuring the site remains robust, user-friendly, and visually intact. Project Pricing and Completion: This project is on a fixed-price basis. Your proposal should include your rate for ...
...data. Develop a plan as to how you might transform the data to make it useable. • Develop a plan as to which artificial intelligence techniques you might use and what sorts of potential observations these can lead to, and how you will evaluate these. You must use models, these are: perceptron, decision trees, linear regression, support vector machines, random forest, k-nearest neighbour, naïve Bayes, neural networks as well as unsupervised techniques k-means and GMM, and principal component analysis. Most supervised models have both classification and regression variants. You are encouraged to work with neural networks. An additional technique from outside the taught module content might be applied for comparison purposes, if this is done it should be clearly indicated ...
...Queries: Write a SQL query to find the second highest salary. Design a database schema for a given problem statement. Optimize a given SQL query. Solution Design: Design a parking lot system using object-oriented principles. Propose a data model for an e-commerce platform. Outline an approach to scale a given algorithm for large datasets. Big Data Technologies (if applicable): Basic questions on Hadoop, Spark, or other big data tools. How to handle large datasets efficiently. Writing map-reduce jobs (if relevant to the role). Statistical Analysis and Data Processing: Write a program to calculate statistical measures like mean, median, mode. Implement data normalization or standardization techniques. Process and analyze large datasets using Python libraries like Pandas. Rememb...
...customer-centric software products · Analyze existing software implementations to identify areas of improvement and provide deadline estimates for implementing new features · Develop software applications using technologies that include and not limited to core Java (11+ ), Kafka or messaging system, Web Frameworks like Struts / Spring, relational (Oracle) and non-relational databases (SQL, MongoDB, Hadoop, etc), with RESTful microservice architecture · Implement security and data protection features · Update and maintain documentation for team processes, best practices, and software runbooks · Collaborating with git in a multi-developer team · Appreciation for clean and well documented code · Contribution to database design ...
a project of data analysis/data engineering involving big data needs to be done. Candidate must have command on big data solutions like hadoop
Project Title: Advanced Hadoop Administrator Description: - We are seeking an advanced Hadoop administrator for an inhouse Hadoop setup project. - The ideal candidate should have extensive experience and expertise in Hadoop administration. - The main tasks of the Hadoop administrator will include data processing, data storage, and data analysis. - The project is expected to be completed in less than a month. - The Hadoop administrator will be responsible for ensuring the smooth functioning of the Hadoop system and optimizing its performance. - The candidate should have a deep understanding of Hadoop architecture, configuration, and troubleshooting. - Experience in managing large-scale data processing and storage environments is requi...
Drawing a Bayes Network I am looking for a skilled freelancer who can help me with drawing a Bayes Network for my project. The purpose of the Bayes Network is to and it will be used for [insert purpose here].
I am looking for a freelancer to help me with a Proof of Concept (POC) project focusing on Hadoop. Requirement: We drop a file in HDFS, which is then pushed to Spark or Kafka and it pushes final output/results into a database. Objective is to show we can handle million of records as input and put it in destination. The POC should be completed within 3-4 days and should have a simple level of complexity. Skills and experience required: - Strong knowledge and experience with Hadoop - Familiarity with HDFS and Kafka/Spark - Ability to quickly understand and implement a simple POC project - Good problem-solving skills and attention to detail
I need to draw a Bayesian network (Bayes net) for the model described:
The aim of this project is to implement a mul4nomial Naive Bayes model for a sen4ment analysis task using the Ro=en Tomatoes movie review dataset. This dataset is derived from the "Sen4ment Analysis on Movie Reviews" Kaggle compe44on1, that uses data from the works of Pang and Lee [1] and Socher at al. [2]. Obstacles like sentence nega4on, sarcasm, terseness, language ambiguity, and many others make this task very challenging
...of DataNode 3: Mike Set the last two digits of the IP address of each DataNode: IP address of DataNode 1: IP address of DataNode 2: IP address of DataNode 3: Submission Requirements: Submit the following screenshots: Use commands to create three directories on HDFS, named after the first name of each team member. Use commands to upload the Hadoop package to HDFS. Use commands to show the IP addresses of all DataNodes. Provide detailed information (ls -l) of the blocks on each DataNode. Provide detailed information (ls -l) of the fsimage file and edit log file. Include screenshots of the Overview module, Startup Process module, DataNodes module, and Browse Directory module on the Web UI of HDFS. MapReduce Temperature Analysis You are
I am looking for a freelancer to build a classification model using Rstudio codes to identify spam vs. non-spam emails. The dataset provided is small, with less than 1000 emails. Requirements: - Proficiency in Rstudio and machine learning algorithms - Experience with building classification models - Knowledge of Naive Bayes algorithm The ideal freelancer should have expertise in Naive Bayes algorithm and be able to implement it using Rstudio codes. Additionally, the freelancer should have a good understanding of email data and spam detection techniques. I attached the code I currently have and the dataset for reference.
The aim of this project is to implement a multinomial Naive Bayes model for a sentiment analysis using Rotten Tomatoes movie review dataset.
Big data project in java needed to be done in 24 hrs. Person needs to be experienced in spark. hadoop.
Skills needed for the project: Data Analysis: Analyzing and interpreting data. Regression Modeling: Building and interpreting regression models. Model Validation: Comparing models using validation techniques. Prediction and Confidence Intervals: Making predictions and cal...Data Analysis: Analyzing and interpreting data. Regression Modeling: Building and interpreting regression models. Model Validation: Comparing models using validation techniques. Prediction and Confidence Intervals: Making predictions and calculating confidence intervals. Probability Concepts: Understanding confidence intervals and Bayesian vs. frequentist approaches. Bayesian Analysis: Applying Bayes' rule to decision-making scenarios. Simulation Techniques: Using simulations (like Monte Carlo) for analytic...
Writing Python code (by colab) 9 Models: 1-Decision Tree Classifiers 2-K-Nearest Neighbors 3-Gaussian Naive Bayes 4-ANN 5-SVC 6-LogisticRegression 7-RandomForest Classifier 8-AdaBoostClassifier 9-XGBoost) the link to the dataset will be sent later.
...fine-tuning a project on chatgpt for university exam questions topic detection. The specific purpose of utilizing chatgpt for this task is to enhance the student learning experience. The most important part for me to understand would be learning how to improve the model day by day and detecting the best way to find the topics of the questions. It does not have to be done through chatgpt. SVM or Naive Bayes might be other ways if they can also give good results. -Finding some example questions and their topics determined by education system -Converting the PDFs to texts and making it ready for the model -Teaching the model about these topics and some parameters about the question like the -Giving the model new questions and asking the questions' topic -Learning th...
¿Cómo se utiliza el teorema de Bayes y la distribución normal? Introducción: ¿Aún recuerdas la campana de Gauss y el teorema de Bayes? En este Reto necesitarás tus conocimientos sobre el teorema de Bayes y la Distribución de la probabilidad. ¡Adelante! Situación 1. Plantea tres ejemplos de la aplicación de la distribución de probabilidad normal. En cada uno de los ejemplos desarrolla: - Grafica una campana de Gauss. - Calcular por fórmula o por tabla y escribir la conclusión del Ejercicio. 2. Investiga dos situaciones de campo (en la industria) en las que se pueda aplicar el teorema de Bayes. Con base en esta investigación se propondrán dos ejemplos ...
Looking for hadoop specialist to design the query optimisation design . Currently when the search is made its getting freezing when the user tries to run more than one search at a time . Need to implement a solution . This is a remote project . Share your idea first if you have done any such work . Here the UI is in React and Backend is in Node js .
#Your code goes here import '' import '' def jbytes(*args) { |arg| arg.to_s.to_java_bytes } end def put_many(table_name, row, column_values) table = (@, table_name) p = (*jbytes(row)) do |column, value| family, qualifier = (':') (jbytes(family, qualifier), jbytes(value)) end (p) end # Call put_many function with sample data put_many 'wiki', 'DevOps', { "text:" => "What DevOps IaC do you use?", "revision:author" => "Frayad Gebrehana", "revision:comment" => "Terraform" } # Get data from the 'wiki' table get 'wiki', 'DevOps' #Do not remove the exit call below exit
