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Discover the Best Private Computer programming lessons in Strathfield

For over a decade, our private Computer programming tutors have been helping learners improve and realise their ambitions. With one-to-one lessons at your home or in Strathfield, you’ll enjoy high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

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1 computer programming teacher in Strathfield

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1 computer programming teacher in Strathfield

Jhosimar - Peru£24
£24Private or group classes of Machine Learning and Deep Learning
Trusted teacher: Master in Computer Science from the State University of Campinas (Brazil) and university professor in Peru. He has participated in the most important Artificial Intelligence conferences including ACL, NeurIPS, ICML, ICLR, KDD, ICCV and CVPR, summer schools such as Machine Learning (MLSS), Deep Learning (DLRL) and Probabilistic ML (ProbAI). He has also participated in various programming contests and has experience preparing interviews for applications to companies such as Google, Meta, Microsoft, among others. He has extensive experience in the areas of Machine Learning and Deep Learning applied mainly to computer vision and natural language processing. He has experience in teaching, providing illustrative explanations for a better understanding of both the theoretical and practical parts. Some examples of presentations given: - He has also advised students from different countries in their graduation and master's theses, providing them with a theoretical and practical base with examples that they can then use to continue their development. Some of the things I can help you with: - Machine Learning: Linear regression, logistic regression, regularization, LDA, QDA, SVMs, decision trees, random forest, boosting, PCA, clustering (K-means, DBSCAN, hierarchical, GMM), neural networks, model selection, metrics evaluation, MLE, Bayesian learning, data preprocessing, etc. - Deep Learning: Multilayer Perceptron (MLP), backpropagation, activation functions, multiclass classification, optimizers (SGD, Adam, RMSProp, etc.), CNNs, architectures (ResNet, DenseNet, EfficientNet, Siamese, etc.), RNNs, LSTMs, Seq2seq, Attention, Transformers (BERT, GPT, ViT, etc.), autoencoders, generative models (VAE, GAN, Diffusion, etc.), etc. - Languages: Python, C++ - Libraries and frameworks: PyTorch, Tensorflow, Keras, Huggingface, numpy, pandas, scikit-learn, sympy, etc.
Computer programming · Python
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Samir - Dubai, United Arab Emirates£27
£27Microsoft Power BI Course. Digital Analytics to drive innovation
Trusted teacher: Gain a 360° overview of exploring and using Power BI to build impactful reports. In this course, you’ll go from zero to hero as you discover how to use this popular business intelligence platform through hands-on exercises. Before diving into creating visualizations using Power BI's drag-and-drop functionality, you’ll first learn how to confidently load and transform data using Power Query and the importance of data models. You’ll also learn to drill down into reports and make your reports fully interactive. You've got the power! Getting Started with Power BI Discover how to navigate this intuitive tool and get to grips with Power BI’s Data, Model, and Report views. You’ll load multiple datasets in the Data view, build a data model to understand the relationships between your tables in Model view, and create your first bar graph and interactive map visualization in Report view. You’ll also practice using Power Query Editor to prep your data for analysis. Transforming Data In this chapter, you'll learn how to shape and transform your data before the data analysis using Power Query Editor. Visualizing Data It’s time to power-up your business intelligence skills! Through hands-on exercises, you’ll learn how to change and format a wide range of visualizations, before moving on to sorting data and creating hierarchies—making it possible for you to drill into your reports. Filtering In the final chapter, you’ll discover how to filter the information in your reports by location and control how these filters interconnect and interact with other visuals in your report.
Information technology · Computer programming
Mourad - Canada£30
£30Quick engineering using python and Large Language Models (LLMs)
Trusted teacher: ### Course Description: Prompt Engineering using Python and LLMs Unlock the power of Large Language Models (LLMs) with our beginner-friendly course, "Prompt Engineering using Python and LLMs." This course is designed to introduce you to the fundamentals of prompt engineering, equipping you with the skills needed to craft effective prompts and leverage the capabilities of LLMs for various applications. #### Course Objectives: - **Introduction to Prompt Engineering:** Understand the basics of prompt engineering and its significance in utilizing LLMs. - **Python for Prompt Engineering:** Learn essential Python programming skills tailored for prompt engineering tasks. - **Harnessing LLMs:** Discover how to use LLMs to generate, manipulate, and analyze text based on your crafted prompts. - **Practical Applications:** Apply your knowledge through hands-on projects and real-world scenarios to build practical solutions. #### Course Outline: 1. **Introduction to Prompt Engineering:** - What is prompt engineering? - Importance and applications of prompt engineering - Overview of Large Language Models (LLMs) and their capabilities 2. **Python Essentials for Prompt Engineering:** - Basic Python programming concepts - Key Python libraries for text processing - Setting up your development environment 3. **Crafting Effective Prompts:** - Understanding prompt structure and components - Techniques for creating clear and concise prompts - Examples of effective prompts for various tasks 4. **Interacting with LLMs:** - Introduction to popular LLMs (eg, GPT-3, GPT-4) - Using APIs to interact with LLMs - Generating text responses based on your prompts 5. **Advanced Prompt Techniques:** - Handling complex queries and multi-step instructions - Refining prompts for improved accuracy and relevance - Using prompts for different applications (eg, content generation, data analysis) 6. **Practical Projects:** - Building a text generation application - Creating a chatbot using prompt engineering techniques - Developing a data extraction tool using LLMs 7. **Ethical Considerations and Best Practices:** - Ensuring ethical use of LLMs and prompt engineering - Best practices for responsible AI development - Avoiding common pitfalls and challenges 8. **Future Directions and Further Learning:** - Exploring advanced topics in prompt engineering - Keeping up with the latest advancements in LLMs - Resources for continued learning and development #### Who Should Enroll: - Beginners with no prior experience in prompt engineering or LLMs - Individuals interested in learning Python programming - Aspiring AI enthusiasts looking to explore the potential of LLMs #### Prerequisites: - Basic computer literacy and familiarity with high school-level mathematics - No prior programming or AI experience required #### Race Outcomes: By the end of this course, you will be able to: - Understand the fundamentals of prompt engineering - Write and execute Python code for prompt engineering tasks - Create effective prompts to interact with LLMs - Develop practical applications using LLMs - Apply ethical considerations and best practices in your work Join us in "Prompt Engineering using Python and LLMs" to embark on your journey into the world of AI and prompt engineering. Gain the skills and confidence needed to create impactful solutions and unlock the full potential of Large Language Models.
Python · Computer programming
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Our students from Strathfield evaluate their Computer Programming teacher.

To ensure the quality of our Computer Programming teachers, we ask our students from Strathfield to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 5.0 out of 5 based on 12 reviews.

Learn Python - from the basics to real world business cases (Amsterdam)
Joris
Joris is super friendly and was really flexible in tailoring the classes based on what my purpose for learning is. He is giving me the direction I need to continue this learning journey, and I would certainly recommend him to anyone interested in learning python to the next level.
Review by SEBASTIAN
Mathematics and Physics Preparation for High-school (Kortenberg)
David
Punctual and ready to adapt and adjust lessons to my daughter's concerns and needs in math. Highly recommended.
Review by JAMES

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