Find top Machine learning tutors - learn Machine learning today

Find top Machine learning tutors - learn Machine learning today

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

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Learn Machine learning from 800+ Machine learning tutors

  • Learn Machine learning with Machine learning tutors - Kazi Sohan

    Kazi Sohan

    Machine learning tutor

    US$20.00 /15 min
    56 reviews

    I love to teach what I know. I think I can explain things easily with examples. I have been working as a Software Engineer for the last 5 years and have worked with some of the world's most reputed companies like **Open AI, Scale AI, Doloras Lab**, etc as a freelancer.

  • Learn Machine learning with Machine learning tutors - Gopal Chitalia

    Gopal Chitalia

    Machine learning tutor

    US$20.00 /15 min
    82 reviews

    I am [Gopal Chitalia](https://scholar.google.com/citations?user=QncMQEIAAAAJ&hl=en), a graduate student at Purdue University and working with Prof. [Jan Anders Mansson](https://www.purdue.edu/engineering/mdlab/mansson/) on fault detection in motors using deep learning in a joint project with Wistron. Additionally, I'm working with Prof. [Junjie Qin](https://engineering.purdue.edu/people/junjie.qin.1) on transfer learning application using LLMs for optimizing power networks. I have had the privilege of working at [Center for Building Science Lab](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcbs.iiit.ac.in%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=UCjKsb98EbNq8jGvbf%2F5TEETyHMI1gnMx20lLBeQmog%3D&reserved=0) under the supervision of Prof. [Vishal Garg](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.google.co.in%2Fcitations%3Fuser%3DvyH26MIAAAAJ%26hl%3Den&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=pDBa4RZtT0eg4rN%2FdvVtv3q%2F6goK1EEVT6%2F6UeGPcw4%3D&reserved=0). I have previously been a Research Assistant/Visiting ML Scholar at the [Smart Grid Research Unit](https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.sgru.eng.chula.ac.th%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=UAp49aqIF2oxM3WIO5IS68gTyMLeYsKR5ENaosJMhvk%3D&reserved=0) (SGRU) under [Manisa Pipattanasomporn](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.google.com.sg%2Fcitations%3Fuser%3D4W2KIQkAAAAJ%26hl%3Den&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Pey86yYp3KpRPj9d9a97nzxLxQGMkQrN%2BFASqUqyheQ%3D&reserved=0) (Adjunct Faculty, Virginia Tech). In addition to my academic pursuits, I have also contributed to the industry in the domains of Energy Efficiency, IoT, and Machine Learning. I have worked at [ClevAir](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fclevair.io%2Fen%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=nonCkudNp3cFUL2CNs6rMHm0HyQXSnh9lhoJ76s5xus%3D&reserved=0) (Norway) as a **Data Scientist** and Growthworks.ai (CA, USA) as an **ML Scientist/Energy Demand Expert**. My research work on predicting short/long-term energy prediction in office/residential buildings using machine learning is published in [Applied Energy](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fabs%2Fpii%2FS0306261920309223%3Fvia%253Dihub&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=V%2Bq5MVSeJ7deNpE%2F%2FEP1PYrsrEVWEH%2FwNK1yAG4CPlM%3D&reserved=0). The results improve the state-of-the-art results by 20-40%. I am also an active reviewer at Applied Energy. Furthermore, I have collaborated on a building-level dataset paper which has been published in [Nature Scientific Data](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.nature.com%2Fsdata%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=rtv6fVxtvuYsk5NAwwR8ujauC1AfX9cs32w4evIj%2BZU%3D&reserved=0). Previously, I have also worked with Prof. [Jyotirmay Mathur](https://scholar.google.co.in/citations?user=AmGPPL4AAAAJ&hl=en) at the [Centre for Energy & Environment](http://www.mnit.ac.in/dept_cree/index.php), MNIT Jaipur on Predicting time ahead heating/cooling energy demand HVAC systems. Moreover, as an independent research student, I also collaborated with Prof. [Praveen Paruchuri](https://scholar.google.com/citations?user=ILUqgKEAAAAJ&hl=en) of [Machine Learning Lab](https://mll.iiit.ac.in/), IIIT-H for Reinforcement Learning (RL) applications for controlling HVAC systems.

  • Learn Machine learning with Machine learning tutors - Tushar Gupta

    Tushar Gupta

    Machine learning tutor

    US$15.00 /15 minfirst 15 mins free badge
    150 reviews

    I have good knowledge of predictive analysis, machine learning methodologies, modeling and cluster analysis of large datasets. I am proficient in utilizing SQL in RDBMS concepts. Experience in project documentation (functional and technical), developers and assisting team with project reports and status reports. Highly motivated learner with great team working skills Strong interpersonal, leadership and customer service skills. I have published paper at BMVC 2017: https://arxiv.org/abs/1710.05158 Deep Learning Blogger: https://medium.com/@tushar20 Technical Skills: Tools: Lucene, Latex, Eclipse Languages: Java, C, C++, R, Python Machine Learning Libraries: TensorFlow, Scikit-Learn, Theano, Keras Relational Database Management Systems: MySQL Web framework: HTML, CSS, JavaScript

  • Learn Machine learning with Machine learning tutors - Syed Rehan Ali

    Syed Rehan Ali

    Machine learning tutor

    US$40.00 /15 min
    198 reviews

    I am a **business intelligence consultant and coach** with over 20 years of experience in managing operations and implementing projects in numerous industries. ➡️ CERTIFICATIONS: ♦ Microsoft Certified: Power BI Data Analyst ♦ Project Management Professional ♦ Six Sigma Green Belt ♦ Scrum Master ♦ Scrum Product Owner ➡️ EXPERT IN: ♦ Integrate and Prepare the data ♦ Model the data ♦ Visualize and analyze the data ♦ Deploy and maintain assets ♦ Secure and distribute **TOOLS** *- Business Intelligence* *- Project Management (Waterfall & Agile)* *- Lean Six Sigma* *- Microsoft Excel,* *- Power BI Desktop,* *- Power BI Service,* *- Power-Query,* *- Power BI Report Server,* *- R Script and Rstudio* *- RapidMiner* *- SQL Server connection,* *- Data connection* *- DAX for Big data,* *- Data mining,* *- Connection and extraction from Google, clean-up and organization, analysis, visualization, automation and management dashboard designs.* **SOME POWER BI Samples:** https://links.edds.com.pk/powerbi-samples **MY POWER BI Blog Posts:** https://www.edds.com.pk/category/blog/bi/microsoft-power-bi/ **LONG TERM ENGAGEMENT TERMS** - Please see here: https://1drv.ms/b/s!AkmOjWjLHddxhKVBJj0rfUcTPGZ2gw?e=11z3SG

  • Learn Machine learning with Machine learning tutors - Surya Kant Tyagi

    Surya Kant Tyagi

    Machine learning tutor

    US$10.00 /15 minfirst 15 mins free badge
    2 reviews

    I am Surya Kant Tyagi, holds a Master in Technology degree in Computer Science. I am a consistent learner and enjoy sharing my learning with others. My professional interests are in data science, I analyse the data and find out insights from it. I use R, Python and Java as the primary languages. I have gained more than 10 years of experience including development, analyst and mentorship. During my free time, I love to develop mobile games and enjoy doing digital art.

  • Learn Machine learning with Machine learning tutors - K M Rakibul Islam

    K M Rakibul Islam

    Machine learning tutor

    US$35.00 /15 min
    2534 reviews

    Experienced (17+ years) developer and friendly Ruby on Rails and React/Next.js/Redux Developer/Mentor (with passion for helping others learn) | ★ 3,615+ 5 ★ sessions/jobs. 8+ years on top of the Codementor Ranking ★ https://www.codementor.io/ruby-on-rails-experts I am a Senior Software Engineer from Toronto, currently working as a Ruby on Rails and React/Redux Developer at theScore Inc. I am passionate about helping and mentoring people, especially those who are new to web development and the programming world. I am specialized in explaining the core concepts of Ruby and Rails, Javascript, React, APIs and everything else along with the best practices. I focus on the learning experience of my students and make sure they get exactly what they want. I have excellent academic track records (Bachelor of Science in Computer Science and Masters in Computer Engineering from the University of Toronto) along with strong development and industry experience in Software Development and Web Development (17+ years coding experience in total). I have helped more than 800 individuals here at CodeMentor (with 3,615+ 5 ★ sessions) with their projects implementation, bug fixes, architecture advices, performance improvements etc. I have worked with a bunch of CEOs and CTOs of YC start-ups and helped them with their projects. Made long term relationships with many of them which I help in a regular basis today. I have helped a ton of bootcamp students here at CodeMentor and helped them build their web development career path and getting jobs after the completion of their bootcamp cohorts. Here at CodeMentor, I have helped people from all levels: From someone who is brand new to programming to 30+ years of experienced Senior Software Engineers, Product Managers and everyone in between. It's been an amazing journey here at CodeMentor for the last 8+ years! :-) I started programming and solving problems in 2006, at the age of 18. Since then, I wrote programs in a variety of programming languages such as C, C++, Java, PHP, Ruby, Python, Javascript, etc. These days, I use Ruby and Rails and React JS as my primary programming languages and frameworks. I can help with debugging your issues as well as refactoring your code according to the best practices and conventions out there. Helping people is my passion and motto in life. If you think I can help you in any way, please get in touch! Specialties: * Building scalable and performant backend APIs in Ruby on Rails (Active Model Serializer, GraphQL, Grape, Jbuilder, RABL, etc.) for android, iPhone or web applications. (For more than 12 million users). * Integration of backend APIs with Javascript frontend framework (ReactJS) using JSON Web Token (JWT). * Built highly scalable Push Notification System for theScore sports application (For ~10 million users). * Implemented instant player, team and news article search for the theScore and theScore eSports apps which have more than 6 million monthly active users using ElasticSearch and Rails. * Backend Ruby on Rails Development (With scaling, performance optimizations, database query optimizations, caching best practices, etc.). * Test Driven Development with clean code and best practices. * Web Scraping (Nokogiri, Mechanize) (Scrape data from anywhere on the internet!). * Reverse engineering complex APIs and web applications to write automated scripts to mimic and automate user behaviour and extract required data. * Explain concepts/solutions clearly and concisely according to the level of the client/student. (Helped over 700 people on CodeMentor with 3,615+ 5 ★ sessions) * Giving architecture advice for your application. Explain which tools/gems to use and why. * Setting up SSL certificates for Rails application (Nginx server) on AWS EC2 instance and securing your application. * Suggesting best practices and focusing on the best learning experience and long-term achievements. * Showing cool tips and tricks that I have learned over the past 18+ years (and still learning!) as a professional Ruby on Rails developer to be more productive and efficient at work. * Upgrading Ruby/Rails versions for your existing application. * Finding bottlenecks and Optimizing performance for your slow Rails applications. * I can help you to prepare for interviews for Ruby on Rails developer position, or any other Software Development position. I have successfully guided many developers who got their dream jobs after practicing coding interviews with me!

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See the power of our Machine learning tutors through glowing user reviews that showcase their successful Machine learning learning journeys. Don't miss out on top-notch Machine learning training.

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    Learn Machine learning with Machine learning tutors - Daniel Al Mouiee

    Daniel Al Mouiee

    Machine learning tutor

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    Learn Machine learning with Machine learning tutors - Niket Kedia

    Niket Kedia

    Machine learning tutor

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    Learn Machine learning with Machine learning tutors - Brian Young

    Brian Young

    Machine learning tutor

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    Learn Machine learning with Machine learning tutors - Benign John Ihugba

    Benign John Ihugba

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How to find Machine learning tutors on Codementor

  • Post a Machine learning tutoring request

    Step 1
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    Find the most suitable Machine learning tutor by chatting with Machine learning experts.

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    Arrange regular session times with Machine learning tutors for one-on-one instruction.

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Frequently asked questions

How to learn Machine learning?

Learning Machine learning 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 Machine learning. 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 Machine learning, 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 Machine learning 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 Machine learning through forums and online communities. This engagement offers support, new learning resources, and insights into industry practices.
  • Build real-world projects: Apply your Machine learning skills to real-world projects. This could be anything from developing a simple app to contributing to open source projects. Using Machine learning in practical applications not only boosts your learning but also builds your portfolio, which is crucial for career advancement.
  • Stay updated: Since Machine learning 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 Machine learning?

The time it takes to learn Machine learning 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 Machine learning 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 Machine learning’s more advanced features and best practices.
  • Advanced level: Achieving proficiency or an advanced level of skill in Machine learning generally requires at least 2 years of consistent practice and learning. This includes mastering sophisticated aspects of Machine learning, contributing to major projects, and possibly specializing in specific areas within Machine learning.
  • Continuous learning: Technology evolves rapidly, and ongoing learning is essential to maintain and improve your skills in Machine learning. Engaging with new developments, tools, and methodologies in Machine learning 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 Machine learning tutor on Codementor?

The cost of finding a Machine learning 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 Machine learning 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 Machine learning 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 Machine learning with a dedicated tutor?

Learning Machine learning 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 Machine learning, 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 Machine learning 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 Machine learning 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 Machine learning in a structured, supportive, and effective environment.

How does personalized Machine learning mentoring differ from traditional classroom learning?

Personalized Machine learning 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 Machine learning.

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