Find top Photogrammetry tutors - learn Photogrammetry today

Find top Photogrammetry tutors - learn Photogrammetry today

Master Photogrammetry from our Photogrammetry tutors, mentors, and teachers who will personalize a study plan to help you refine your Photogrammetry skills. Find the perfect Photogrammetry tutor now.

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Learn Photogrammetry with online tutors

  • Learn Photogrammetry with Photogrammetry tutors - Vitor Bottazzi

    Vitor Bottazzi

    Photogrammetry tutor

    US$25.00 /15 minfirst 15 mins free badge
    33 reviews

    I have 20+ years of experience working in major software development projects internationally for innovation, engineering, the stock market and R&D supporting business goals. My intention is always to turn my clients into independent problem solvers, capable of leveraging the knowledge required to accomplish their projects. I can help you to get a solid understanding of the concepts you need to deliver your project. Feel welcome to book a 15-minute session to discuss your project before we start working together. Looking forward to assisting you in bridging your technical and/or academic gaps towards your desired outcome. Warmest regards, Vitor

  • Learn Photogrammetry with Photogrammetry tutors - Zoltán Biber

    Zoltán Biber

    Photogrammetry tutor

    US$15.00 /15 min
    3 reviews

    Hi! I am a GIS Analsyt and a 3D modeler. Even during my university years, gaining practical experience was the most important thing for me, so I was able to get acquainted with several GIS-based technologies in a short time. **Photogrammetry, 3D modeling, and analysis** have become my specialties. Whether I capture objects from the ground or from the air (with a drone), I implement them into the virtual world with precision then examine them. Recently I am working with Blender to create photorealistic renders.

  • Learn Photogrammetry with Photogrammetry tutors - Raghav Palriwala

    Raghav Palriwala

    Photogrammetry tutor

    US$10.00 /15 minfirst 15 mins free badge

    Highly experienced Full-Stack Data Scientist / Machine Learning Engineer and Software Developer, delivering production ready ML models and customised softwares to automate business processes and decision making. With an added advantage of attaining MBA from India's finest B-school, I build tech powered solutions to ensure maximum profitability for any business venture. Skills : ● Data Science & Machine Learning : Supervised ML, Linear Regression, Decision Tree, Prompt Engineering, Hypothesis Testing, Statistics, Exploratory Data Analysis, Data Wrangling, Cleaning & Tidying, Feature Engineering, Data Visualization, SQL, Scikit-learn, NumPy, Pandas, Matplotlib, Plotly, Dash, Microsoft Excel, Metabase, AWS Athena & Sagemaker, Google BigQuery, Unsupervised ML, Neural Nets, NLP, Large Language Models (LLM), GPT, Text Embedding, Vector Databases, PyTorch, fastai, TensorFlow, OpenAI API, Generative AI (GenAI) ● Programming : Python, MySQL, PostgreSQL, HTML, CSS, Flask, Heroku, APIs, Git, AWS S3 & EC2, JavaScript, jQuery, Java, Werkzeug WSGI, Leaflet.js, Folium, GeoPandas, Google Maps API & Sheets API, Bootstrap Professional Work : 1. Engineered a suite of cutting-edge ensemble ML models, revolutionizing underwriting processes for personal loan products a major FinTech Lender in India. 2. Developed and deployed 6 ML models for credit-risk scorecard, using 5 data sources (Bureau, Bank Statement, SMS, Smartphone App Info and Demography), improving risk spread by 1200%. 3. Devised NLP based models (Passive Aggressive Classifier and XGBoost Classifier with TFiDF Vectorizer) for classification of SMS, improving recall by 35% and accuracy by 60%, and saved 36 man-hours daily, processing over 200 Mn SMS/day. 4. Created LLM based classifier models using Prompt Engineering on ChatGPT (OpenAI), Mistral AI (Open Source) and other open source models. Deployed using AWS Sagemaker. 5. Crafted an LLM based Law ChatBot that answers to Lawyer's questions pertaining to any specified PDF file of a Legal Document. 6. Built an in-house MLOps infrastructure with AWS Sagemaker, enhancing model integration. 7. Engineered 330+ features from SMS data to emulate metrics including cash flow, lifestyle and financial literacy indicators. Included steps like Exploratory Data Analysis, Data Wrangling, Cleaning & Tidying, Feature Engineering. 8. Designed comprehensive daily and monthly model monitoring dashboards using Flask-Python, Metabase and SQL tables, improved response time to anomalies by 75%, enhancing overall model reliability and performance. 9. Designed a Customer Loyalty Program and delivered via a web and Android app, over 2500 DAU, rated 4.6 on play store for a manufacturer and distributor of PVC Plumbing Systems in Central India. 10. Increased territorial penetration by over 25% by building automated interactive GIS sales dashboard for a wholesale business in India. 11. Achieved 100% monthly revenue target completion by creating Business Intelligence Dashboard – Google Apps Script. 12. Reduced total credit by 20% in five months by building a Python-bot that sends regular WhatsApp messages to debtors. 13. Saved annual recurring cost of ₹25 lakh+ by automating data collection for a hedge fund using Yahoo Finance API & Python. 14. Cut time from over 4 hours to 2 clicks by developing a GIS-enabled web application for new-license territory discovery for a developer and licensor of Escape Room Game Designs in USA. Personal Projects : 1. Developed a Fake News Classifier using TfIdf Vectorizer and Passive Aggressive Classifier - ML, pandas, scikit-learn. 2. Created a Spam Email Classifier using Naïve Bayes and XGBoost Classifiers - ML, NumPy, seaborn. 3. Designed a Cat Image Classifier using multi-layer neural network - DL, NumPy, Matplotlib, h5py, PIL, SciPy. 4. Developed a web app to manage portfolio of stock with real-time prices using IEX API -SQLite, Flask, HTML, CSS, JS. 5. Built a terminal-run card game called Declare - Python. Education : Computer Science and Data Science Masters (Self-Learned) Major Electives: Computer Science: MIT 6.0001, MIT 6.0002, Automate the Boring Stuff with Python, Harvard CS50, Harvard CS50 - Web Development, Intro. to Algorithms, Design and Analysis of Algorithms, Software Development Lifecycle, GIT and GitHub, Flask for Python, The Python Mega Course, Data Structures, Analysis of Algorithms, The Odin Project etc. Data Science: Stanford CS229, Stanford Machine Learning (CS229A), Data Science path on Codecademy.com, Data Science and Machine Learning Bootcamp, Neural Networks and Deep Learning, Deep Learning with PyTorch: Zero to GANs, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

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    Learn Photogrammetry with Photogrammetry tutors - Brian Young

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How to find Photogrammetry tutors on Codementor

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Frequently asked questions

How to learn Photogrammetry?

Learning Photogrammetry effectively takes a structured approach, whether you're starting as a beginner or aiming to improve your existing skills. Here are key steps to guide you through the learning process:

  • Understand the basics: Start with the fundamentals of Photogrammetry. You can find free courses and tutorials online that cater specifically to beginners. These resources make it easy for you to grasp the core concepts and basic syntax of Photogrammetry, laying a solid foundation for further growth.
  • Practice regularly: Hands-on practice is crucial. Work on small projects or coding exercises that challenge you to apply what you've learned. This practical experience strengthens your knowledge and builds your coding skills.
  • Seek expert guidance: Connect with experienced Photogrammetry tutors on Codementor for one-on-one mentorship. Our mentors offer personalized support, helping you troubleshoot problems, review your code, and navigate more complex topics as your skills develop.
  • Join online communities: Engage with other learners and professionals in Photogrammetry through forums and online communities. This engagement offers support, new learning resources, and insights into industry practices.
  • Build real-world projects: Apply your Photogrammetry skills to real-world projects. This could be anything from developing a simple app to contributing to open source projects. Using Photogrammetry in practical applications not only boosts your learning but also builds your portfolio, which is crucial for career advancement.
  • Stay updated: Since Photogrammetry is continually evolving, staying informed about the latest developments and advanced features is essential. Follow relevant blogs, subscribe to newsletters, and participate in workshops to keep your skills up-to-date and relevant.

How long does it take to learn Photogrammetry?

The time it takes to learn Photogrammetry depends greatly on several factors, including your prior experience, the complexity of the language or tech stack, and how much time you dedicate to learning. Here’s a general framework to help you set realistic expectations:

  • Beginner level: If you are starting from scratch, getting comfortable with the basics of Photogrammetry typically takes about 3 to 6 months. During this period, you'll learn the fundamental concepts and begin applying them in simple projects.
  • Intermediate level: Advancing to an intermediate level can take an additional 6 to 12 months. At this stage, you should be working on more complex projects and deepening your understanding of Photogrammetry’s more advanced features and best practices.
  • Advanced level: Achieving proficiency or an advanced level of skill in Photogrammetry generally requires at least 2 years of consistent practice and learning. This includes mastering sophisticated aspects of Photogrammetry, contributing to major projects, and possibly specializing in specific areas within Photogrammetry.
  • Continuous learning: Technology evolves rapidly, and ongoing learning is essential to maintain and improve your skills in Photogrammetry. Engaging with new developments, tools, and methodologies in Photogrammetry is a continuous process throughout your career.

Setting personal learning goals and maintaining a regular learning schedule are crucial. Consider leveraging resources like Codementor to access personalized mentorship and expert guidance, which can accelerate your learning process and help you tackle specific challenges more efficiently.

How much does it cost to find a Photogrammetry tutor on Codementor?

The cost of finding a Photogrammetry tutor on Codementor depends on several factors, including the tutor's experience level, the complexity of the topic, and the length of the mentoring session. Here is a breakdown to help you understand the pricing structure:

  • Tutor experience: Tutors with extensive experience or high demand skills in Photogrammetry typically charge higher rates. Conversely, emerging professionals might offer more affordable pricing.
  • Pro plans: Codementor also offers subscription plans that provide full access to all mentors and include features like automated mentor matching, which can be a cost-effective option for regular, ongoing support.
  • Project-based pricing: If you have a specific project, mentors may offer a flat rate for the complete task instead of an hourly charge. This range can vary widely depending on the project's scope and complexity.

To find the best rate, browse through our Photogrammetry tutors’ profiles on Codementor, where you can view their rates and read reviews from other learners. This will help you choose a tutor who fits your budget and learning needs.

What are the benefits of learning Photogrammetry with a dedicated tutor?

Learning Photogrammetry with a dedicated tutor from Codementor offers several significant benefits that can accelerate your understanding and proficiency:

  • Personalized learning: A dedicated tutor adapts the learning experience to your specific needs, skills, and goals. This personalization ensures that you are not just learning Photogrammetry, but exceling in a way that directly aligns with your objectives.
  • Immediate feedback and assistance: Unlike self-paced online courses, a dedicated tutor provides instant feedback on your code, concepts, and practices. This immediate response helps eliminate misunderstandings and sharpens your skills in real-time, making the learning process more efficient.
  • Motivation and accountability: Regular sessions with a tutor keep you motivated and accountable. Learning Photogrammetry can be challenging, and having a dedicated mentor ensures you stay on track and continue making progress towards your learning goals.
  • Access to expert insights: Dedicated tutors often bring years of experience and industry knowledge. They can provide insights into best practices, current trends, and professional advice that are invaluable for both learning and career development.
  • Career guidance: Tutors can also offer guidance on how to apply Photogrammetry in professional settings, assist in building a relevant portfolio, and advise on career opportunities, which is particularly beneficial if you plan to transition into a new role or industry.

By leveraging these benefits, you can significantly improve your competency in Photogrammetry in a structured, supportive, and effective environment.

How does personalized Photogrammetry mentoring differ from traditional classroom learning?

Personalized Photogrammetry mentoring through Codementor offers a unique and effective learning approach compared to traditional classroom learning, particularly in these key aspects:

  • Customized content: Personalized mentoring adapts the learning material and pace specifically to your needs and skill level. This means the sessions can focus on areas where you need the most help or interest, unlike classroom settings which follow a fixed curriculum for all students.
  • One-on-one attention: With personalized mentoring, you receive the undivided attention of the tutor. This allows for immediate feedback and detailed explanations, ensuring that no questions are left unanswered, and concepts are fully understood.
  • Flexible scheduling: Personalized mentoring is arranged around your schedule, providing the flexibility to learn at times that are most convenient for you. This is often not possible in traditional classroom settings, which operate on a fixed schedule.
  • Pace of learning: In personalized mentoring, the pace can be adjusted according to how quickly or slowly you grasp new concepts. This custom pacing can significantly enhance the learning experience, as opposed to a classroom environment where the pace is set and may not align with every student’s learning speed.
  • Practical, hands-on learning: Mentors can provide more practical, hands-on learning experiences tailored to real-world applications. This direct application of skills is often more limited in classroom settings due to the general nature of the curriculum and the number of students involved.

Personalized mentoring thus provides a more tailored, flexible, and intensive learning experience, making it ideal for those who seek a focused and practical approach to mastering Photogrammetry.

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