Tim - Computer prgramming tutor -
Tim - Computer prgramming tutor -

Tim's profile, diploma and contact details have been verified by our experts

Tim

  • Rate TSh 406,881
  • Response 16h
  • Students

    Number of students Tim has accompanied since arriving at Superprof

    20

    Number of students Tim has accompanied since arriving at Superprof

Tim - Computer prgramming tutor -
  • 5 (3 reviews)

TSh 406,881/hr

Contact
  • Computer programming

Master Machine Learning with a top 10 Imperial Alum/Lecturer in Machine Learning @ University of Barcelona Quantum Tech Masters

  • Computer programming

Lesson location

Recommended

Tim is a respected member of our tutor community. He is highly recommended for his commitment and the quality of his lessons. An excellent choice to progress with confidence.

About Tim

Driven by an insatiable curiosity and a passion for problem-solving, I am eager to share the gift of Physics far and wide. Currently pursuing a PhD in Deep Learning for Quantum Sciences, I collaborate with leading players in the private sector of quantum technologies through a partnership with ICFO - The Institute of Photonic Sciences. My motivation for tutoring stems from the profound satisfaction of helping others achieve conceptual clarity. There's nothing more rewarding than witnessing the moment when understanding clicks, the proverbial penny drops, or that sought-after lightbulb moment occurs in STEM subjects. Beyond the realm of sciences, I am a dual national with a background in and around London, enjoying both the outdoors and music. Alongside my scientific pursuits, I am an avid musician and composer, actively participating in the UK YMSO and having been an alumnus of the University of London Symphony Orchestra (ULSO). Additionally, I indulge my creative side by composing works for solo piano and chamber groups. One day, I hope to be able to start my own Quantum Technology company, and this idea is the premise of my PhD!

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About the lesson

  • Primary school
  • Ordinary Level
  • Form 5
  • +11
  • levels :

    Primary school

    Ordinary Level

    Form 5

    Form 6

    Ordinary Diploma

    Adult Education

    Bachelor’s Degree

    Master’s Degree

    PhD / Doctorate

    MBA

    Beginner

    Intermediate

    Advanced

    Children

  • English

All languages in which the lesson is available :

English

My teaching style is dynamic, charismatic, and most of all, empathetic. I know what it felt like to be overwhelmed by the field of AI - there is so much to it... from code, version control, maths and statistics, and a zoo of different algorithms and architectures. I have taught complete beginners, novices, and even experts (at conferences) how to use and design machine learning and deep learning algorithms. There are no prerequisites for our lessons, and everything, including the relevant coding, mathematics, and statistics can be taught along the way! My lessons are about the core concepts that underpin the majority of recent developments in the field. We will work with a mixture of code, handwritten live sessions where we derive key results, and a curated list of resources that myself and other colleagues at the UoB use to teach the ML course. In our sessions you will - Develop familiarity with the foundational tools and concepts of machine learning and deep learning. - Gain exposure to major python-based machine learning libraries used in contemporary machine learning. Click "see more" to explore what you can learn in more detail... In more detail, a typical curriculum followed by my students looks like: FUNDAMENTALS 1. Introduction, on the difference between machine learning and deep learning, three pillars of ML. 2. Supervised learning, shallow neural networks, loss functions, activation functions, and training. 3. Deep neural networks, backpropagation, initialization, measuring performance, regularisation, and exposure to key ideas of optimisers. CORRELATION CAPTURE 1. Exposure to different neural architectures and when to use them. Cats, dogs, CNNs and MNIST. 2. The autoencoder as a first unsupervised deep learning architecture, motivate the switch to a probabilistic view of ML & DL. 3. Introduction to Bayesian inference, reparameterisation and variational autoencoders, and how they gave rise to Generative Adversarial Networks and Stable Diffusion. 4. Introduction to normalising flows as the backbone of generative models. REINFORCEMENT LEARNING 1. Introduction to key terminology, states, actions, policies, Bellman equations, tabular RL. 2. Deep reinforcement learning with worked examples For the astute students and those in the physical sciences, I also teach and practise quantum machine learning and can teach machine learning and deep learning in the quantum technology sector, including: 1. Understand the motivation for ML & DL in quantum technologies, and the high-level approaches taken thus far. Learn the key ideas underpinning the quantum many-body problem in quantum technologies. 2. Parametric quantum circuits and hybrid quantum-classical algorithms such as the quantum variational eigen-solver. 3. Supervised learning techniques for the detection of phase transitions in quantum many-body systems. 4. Neural quantum states and their applications to quantum many-body states. 5. Hamiltonian learning and its applications to quantum many-body dynamics.

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Rates

Rate

  • TSh 406,881

Pack prices

  • 5h: TSh 2,034,406
  • 10h: TSh 4,068,812

online

  • TSh406,881/h

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