Chris Lovejoy
Chris Lovejoy
  • 62
  • 525 667
Six Steps to Data Science Mastery (without quitting your job)
This video is kindly sponsored by @coursera.
Sign up to enroll for a 7-day free trial with Coursera: imp.i384100.net/Jzmdev
TIMESTAMPS
00:27 - the six stages of data science competence
00:53 - stage one
03:02 - stage two
04:15 - stage three
5:14 - stage four
08:08 - stage five
11:31 - stage six
12:35 - how to progress through the stages
16:34 - wrapping up
LINKS:
Blog version of this video: www.chrislovejoy.me/6-steps
Stage One:
- Python - freeCodeCamp:ua-cam.com/video/eWRfhZUzrAc/v-deo.html
- CS50: ua-cam.com/video/IDDmrzzB14M/v-deo.html
- Learn through projects no courses: www.chrislovejoy.me/learn-projects
- Python Principles exercises: github.com/chris-lovejoy/CodingForMedicine/blob/main/exercises/Python_Principles.ipynb
Stage Two:
- Setting up jupyter notebook and data environment (EXERCISE): github.com/chris-lovejoy/CodingForMedicine/blob/main/exercises/Setting_up_Jupyter_Notebook.ipynb
Stage Three:
- Open-source medical datasets: github.com/chris-lovejoy/medical-datasets-for-education
- Scikit-learn guide: scikit-learn.org/stable/tutorial/machine_learning_map/index.html
Stage Four:
- Data science pipeline exercises: github.com/chris-lovejoy/codingformedicine
- Performance metrics (VIDEO): ua-cam.com/video/xlrj1iFCYUk/v-deo.html
- ML for healthcare (VIDEO SERIES): ua-cam.com/video/dj_mF4OlcUY/v-deo.html
- Google Data Analytics:
Stage Five:
- Kaggle.com - website with data science challenges
- Guide to monetising data science skills: www.chrislovejoy.me/monetising-ds-skills
📘 My book on learning: chrislovejoy.gumroad.com/l/medstudentmanual
🤳 Instagram - chris.lj
🐦Twitter - @ChrisLovejoy_
📹Subscribe to my channel - bit.ly/2TGEhk1
✍️My weekly email newsletter - chrislovejoy.substack.com
WHO AM I?
I'm Chris Lovejoy, a doctor turned ML engineer and start-up founder in London.
GET IN TOUCH
Say hi at hi@chrislovejoy.me
Переглядів: 996

Відео

How I came first in my AI Masters Degree: The Triple Note-Taking system
Переглядів 1,6 тис.Рік тому
So this central note / atomic note / higher-level note structure evolved naturally and was a bit of a game changer for me. (Sorry that screen is pretty small at times 😅) TIMESTAMPS 00:00 - the benefits of changing my system 00:24 - the three layers of this system 00:50 - the power of bidirectional links 02:07 - part 1: the central note with course structure 04:38 - part 2: the atomic notes 08:0...
A Busy Person's Guide to Learning Any Skill
Переглядів 1 тис.Рік тому
This is how I've been learning new skills on the "backburner", like chess, photography, guitar, etc. Hope it's helpful! TIMESTAMPS 00:00 - all the things I wish I could learn 00:27 - the 4 principles of this system 1:24 - setting up the central note 2:56 - an evolving strategy for learning a skill 3:55 - processing new information 5:49 - prompts for easy drop-in 8:04 - adapting this to skills o...
Aiming for a high-impact medical career - my experiences so far
Переглядів 1 тис.2 роки тому
In this video, I'm interviewed by Akhil Bansal from hi-impact medicine. CONTENT 00:00 - Intro outline of episode 01:28 - Journey: medschool to today 04:20 - Full-time medicine not fully satisfying 06:36 - Trying to scale career impact 07:57 - Feelings when leaving medicine "little bets" 10:20 - How get flavour for data science? 12:16 - Imposter syndrome transferrable skills from medicine 14:48 ...
I created my own YouTube algorithm (to save time).
Переглядів 4,3 тис.4 роки тому
I coded my own UA-cam algorithm to save me wasting time. The code: github.com/chris-lovejoy/UA-cam-video-finder The blog: towardsdatascience.com/i-created-my-own-youtube-algorithm-to-stop-me-wasting-time-afd170f4ca3a BECOME A TECHY MEDIC: 📘Get my book on study skills (free): chrislovejoy.me/mmsm-free 🧠 Learn about machine learning in medicine: chrislovejoy.me/ml-health/ 💻 Learn to code medical ...
Coding, Careers, Healthtech and Productivity // 1,000 subscribers Q+A
Переглядів 2,2 тис.4 роки тому
Thanks for the questions via Twitter and my mailing list. I answered the following: STUDY AND PRODUCTIVITY 0:39 - How do you decide what to learn? 2:54 - How do decide how much to learn? 5:14 - What is your personal 'knowledge management system'? LEARNING TO CODE 7:01 - Should I still learn to code (given emergence of no code tools)? 11:48 - How to balance learning a skill with rest of life? TE...
How to Get Started with Machine Learning + Recommended Resources // ML for healthcare #9
Переглядів 3,5 тис.4 роки тому
Getting started with machine learning is hard. There's a lot to learn and it's difficult to know where to start. In this video, I share my thoughts about how best to go about it, as a healthcare professional. TIMESTAMPS: 0:34 - The four aspects of learning ML for healthcare 1:16 - Start with machine learning theory 3:14 - Then read machine learning papers 4:17 - Should I learn to code? 6:18 - H...
How to Read a Machine Learning Paper // ML for Healthcare #8
Переглядів 2,4 тис.4 роки тому
In this video, I share a framework for reading machine learning for healthcare papers, so that you can build up understanding and keep up-to-date with the field. TIMESTAMPS: 0:27 - Overviewing the Paper 1:24 - The Data 3:27 - The Methodology 5:18 - The Performance 6:43 - Drawing Conclusions 7:28 - Building Understanding 8:29 - Papers to get started with LINKS: - My Checklist for Reading Papers ...
Ensuring a Positive Clinical Impact with Machine Learning // #7 of Machine Learning for Healthcare
Переглядів 1,2 тис.4 роки тому
To have a positive impact with a machine learning model in healthcare, it's important to ensure models generalise to new data and that they are appropriately incorporated into clinical workflows. It's important to have strong evidence of a clinical benefit before widespread implementation. In this video, we talk about how to achieve a positive health impact through machine learning and how to d...
How to Assess Machine Learning Models: AUC, F1 and more (clearly explained) // #6 of ML for Health
Переглядів 2 тис.4 роки тому
For a machine learning model to have a positive impact in healthcare, it needs to both perform well and to have a positive impact once integrated into clinical workflows. In this video, we talk about how we can quantify the performance of machine learning models - for use in healthcare or otherwise. This is the sixth video in the machine learning for healthcare series. TIMESTAMPS 1:28 - The con...
The Fundamentals of Deep Learning + How It Will Change Healthcare // #5 of ML for Healthcare
Переглядів 4 тис.4 роки тому
In this video we cover the two main types of deep learning algorithm; convolutional and recurrent neural networks. We gain intuition for how they work and explore how they're being used in healthcare. This is the fifth video in the 'Machine Learning for Healthcare' series. TIMESTAMPS: 0:36 - Context (AI vs ML vs NN vs DL) 3:01 - How has deep learning been used in healthcare? 3:02 - Convolutiona...
Real Time Study / Code with Me (Lo-Fi Music, 3 pomodoros)
Переглядів 12 тис.4 роки тому
I'm currently working remotely as a data scientist in self-quarantine. Had some requests for a second study / code with me so here it is. WHO AM I? I'm Chris Lovejoy, a data scientist and junior doctor based in London. I make videos about data science/machine learning, medicine, productivity, careers, and anything else that's on my mind. GET IN TOUCH Feel free to drop a comment on one of my UA-...
What Happens in a Neural Network? (building intuition with medical examples) // #4 of ML for Health
Переглядів 3,8 тис.4 роки тому
What Happens in a Neural Network? (building intuition with medical examples) // #4 of ML for Health
How does a machine learning model LEARN? // #3 of ML for Healthcare Course
Переглядів 2,9 тис.4 роки тому
How does a machine learning model LEARN? // #3 of ML for Healthcare Course
What is Machine Learning and Why Healthcare? // #2 of ML for Healthcare
Переглядів 3,7 тис.4 роки тому
What is Machine Learning and Why Healthcare? // #2 of ML for Healthcare
Course Launch: Machine Learning for Healthcare - #1: Why learn about AI (as a medic)
Переглядів 6 тис.4 роки тому
Course Launch: Machine Learning for Healthcare - #1: Why learn about AI (as a medic)
The 4-Hour Job Search: A productivity approach to job applications
Переглядів 1,5 тис.4 роки тому
The 4-Hour Job Search: A productivity approach to job applications
I Wrote Code To Find Me A Job (and it worked)
Переглядів 3,1 тис.4 роки тому
I Wrote Code To Find Me A Job (and it worked)
An Unconventional Approach to Interviews: How I got my first data science job
Переглядів 2,3 тис.4 роки тому
An Unconventional Approach to Interviews: How I got my first data science job
Diagnosing breast cancer with AI // Coding for Medicine #3
Переглядів 11 тис.4 роки тому
Diagnosing breast cancer with AI // Coding for Medicine #3
A Day in the Life of a London Data Scientist (working remotely during coronavirus)
Переглядів 320 тис.4 роки тому
A Day in the Life of a London Data Scientist (working remotely during coronavirus)
How to code a Neural Network to Predict Hospital Attendance // Coding for Medicine #2
Переглядів 2,8 тис.4 роки тому
How to code a Neural Network to Predict Hospital Attendance // Coding for Medicine #2
Getting Started with Content Creation: Lessons From a Social Media Marketer // Content Creation Ep#3
Переглядів 2544 роки тому
Getting Started with Content Creation: Lessons From a Social Media Marketer // Content Creation Ep#3
What is the role of AI in healthcare? What the current evidence shows
Переглядів 6514 роки тому
What is the role of AI in healthcare? What the current evidence shows
Lessons and Advice from Starting a Podcast // Should I be a Content Creator? Ep. #2
Переглядів 2024 роки тому
Lessons and Advice from Starting a Podcast // Should I be a Content Creator? Ep. #2
What Ali Abdaal asked me about succeeding at med school
Переглядів 9014 роки тому
What Ali Abdaal asked me about succeeding at med school
How To Code a Medical Calculator // Coding for Medicine #1
Переглядів 5 тис.4 роки тому
How To Code a Medical Calculator // Coding for Medicine #1
Real Time Study / Code With Me (No Music, 3 Pomodoros)
Переглядів 13 тис.4 роки тому
Real Time Study / Code With Me (No Music, 3 Pomodoros)
A Weekend in Oxford | Junior Doctor Vlog
Переглядів 3894 роки тому
A Weekend in Oxford | Junior Doctor Vlog
Five Cool Uses of Artificial Intelligence in Medicine (2020)
Переглядів 2,1 тис.4 роки тому
Five Cool Uses of Artificial Intelligence in Medicine (2020)

КОМЕНТАРІ

  • @drock577
    @drock577 Місяць тому

    Great explanation!

  • @MartinoLiu
    @MartinoLiu Місяць тому

    Did you do any web interface to use your UA-cam algorithm?

    • @ChrisLovejoy
      @ChrisLovejoy Місяць тому

      @@MartinoLiu I didn’t in the end, but def thought about it and maybe I still should I think somebody did though, from a fork of the code repository

  • @kaizen7560
    @kaizen7560 2 місяці тому

    Its 2024 and this guy was right 🔥

  • @Bestitwest
    @Bestitwest 6 місяців тому

    I am from the Caribbean and I often ponder why most people do not love learning. If the eight billion people on the planet would focus on learning something new everyday, they wouldn't have or find time to engage in hateful behavior.

  • @pedropalacios1
    @pedropalacios1 7 місяців тому

    Hi Chris! This was an informative video, particularly rare to be found, as it discusses the combination of both data science and medicine. I'm an 18-year-old incoming student at The University of Texas at San Antonio in Texas, USA, and I'm majoring in Artificial Intelligence seeking to obtain a graduate-level degree. However, recently I learned of a new dual-degree program at the university which is partnered with a local medical school offering both a MD and Master of Science in AI degree. I'm astoundingly interested in Computer Science and AI, but I'm also interested in applying this to Neuroscience/Neurology of Medicine. Despite my overall interest mostly residing in AI, I'm still contemplating whether or not I should make this commitment of pursuing medical school and thus becoming a doctor, as I mostly would like to specialize in AI. Do you think participating in this dual-degree program, involving a MD & MS-AI degree, is a good choice for me or should I seek my alternative, initial plan of pursuing a Computer Science PhD? Thank you so much in advance for your response; I'm looking forward to the future content you release!

    • @ChrisLovejoy
      @ChrisLovejoy 7 місяців тому

      yeah dual degree program sounds solid! I think masters often gives better base of fundamentals that PhD

    • @pedropalacios1
      @pedropalacios1 6 місяців тому

      @@ChrisLovejoy Thanks for your response. Do you find it difficult to find jobs in need of both of these services (requiring medical & data science expertise)? Or do you specifically work in jobs solely data science related, if you don’t mind me asking?

    • @ChrisLovejoy
      @ChrisLovejoy 6 місяців тому

      @@pedropalacios1 I've been fortunate that there are an increasing number of companies working at this intersection, so I've only worked at companies doing both for 4 years or so

  • @2010guoyang
    @2010guoyang 7 місяців тому

    There is sth. fundamentally different in bronchoscopy and colonoscopy: the latter will have multiple polyps, but the former doesn't! Therefore, the algorithm for detecting missing polyps by bronchoscopy is not that necessary, but by colonoscopy will be very critical.

  • @novadocnews
    @novadocnews 9 місяців тому

    Hi Doc! Thank you for this video. I just started to get involved in "learning about learning" but I am unsure of going through with it. I feel I am years behind now (even your video series about ML are 3 yrs old now!) Would you still recommend to learn about ML using the same sources listed in this video? Thanks in advance!

    • @ChrisLovejoy
      @ChrisLovejoy 9 місяців тому

      Good question - I would say use this list as a starting point, but def check other sources e.g. reddit as there's new stuff coming out all the time - probably a bunch of new resources that I'm not aware of

    • @novadocnews
      @novadocnews 9 місяців тому

      @@ChrisLovejoy Hi again Doc! Thankyou for replying. I've sent you an email. I hope you get a chance to read it. Have a great day!

  • @HazelAis
    @HazelAis 9 місяців тому

    Thank U!

  • @MadinogeCarolineMoukangoe
    @MadinogeCarolineMoukangoe 10 місяців тому

    Hey Chris how can I study theory with understand 🙏🙏

  • @moja-mojahh.jpeg.9829
    @moja-mojahh.jpeg.9829 10 місяців тому

    This technique combined with Feynman Technique ( when you are trying to explain your answer) is powerful combo. Thanks for the tips , Chris🙂

    • @phanikatam4048
      @phanikatam4048 9 місяців тому

      you cant explain every small things

  • @serge9259
    @serge9259 10 місяців тому

    Topppp content

  • @AjayJetty
    @AjayJetty 10 місяців тому

    Amazing work man, I have learnt more about ML from watching your videos in a day compared to reading articles for days and still not grasping concepts clearly

  • @marvelouss719
    @marvelouss719 11 місяців тому

    I am surprised you don't have more views or subscribers. Your videos are practical and can be applied immediately. Most importantly, I don't get the impression you are trying to SELL me the science of learning.

  • @sinakazemian1647
    @sinakazemian1647 Рік тому

    Thank you so much for this video. It was really informative and useful ❤

  • @jananelalouani9692
    @jananelalouani9692 Рік тому

    Hi. Great video. I am a Phd and a doctor. I am really interested in machine learning and AI career, God willing. What will be the best approach on your opinion? Start with a university degree, go for coursera ? Many thanks

    • @ChrisLovejoy
      @ChrisLovejoy Рік тому

      I'd say start coursera, see how it goes, and then consider university degree if you enjoy it

  • @mohamedibrahim-iq9od
    @mohamedibrahim-iq9od Рік тому

    Please want to know the start

  • @mohamedibrahim-iq9od
    @mohamedibrahim-iq9od Рік тому

    Please doctor Iam an internist trying to find track in ai and want to know the start till the end can you help me please

    • @ChrisLovejoy
      @ChrisLovejoy Рік тому

      www.chrislovejoy.me/6-steps as an updated version of: www.chrislovejoy.me/foundation

  • @tanitlizamagabriel9639
    @tanitlizamagabriel9639 Рік тому

    This is fantastic materia to learn new skills as a translational scientist myself. Could you recomend a source of NGS data similar to UK biobank that is avaiable to anyone to use as a playground? Many thanks :)

  • @PirateCptn
    @PirateCptn Рік тому

    This is the best explanation of neural networks and how they actually function and make predictions I've heard. Well done!

  • @PresenceBeyond
    @PresenceBeyond Рік тому

    Thank you for this series!

  • @Hae875
    @Hae875 Рік тому

    Thanks for the video. Great content 👏

  • @Hae875
    @Hae875 Рік тому

    Thanks for sharing your thoughts in this interesting topic. AI in health care system is evolving. As a clinical phamracist, I'm interested to explore this field.

  • @bibliophile90
    @bibliophile90 Рік тому

    Absolutely phenomenal series. A great teacher can deliver the message without intimidating or overwhelming the student. Thank you for sharing your knowledge and wisdom.

  • @health_universe
    @health_universe Рік тому

    Love this series!

  • @cev9790
    @cev9790 Рік тому

    Hello Chris, I currently have 2 years left to finish med school but I discovered i want to work as a SWE more than working as a doctor (i'm doing some JS course and i'm enjoying it a lot, also I looked a video about an app developed in phyton during a SWE Subject and it's actually interesting for me). Did your Medical degree give you some sort of advantage during your career in Tech? Because i'm thinking about finishing MS and learn coding at the same time, but don't know if it's going to worth all the effort for just working as a programmer then. What would you do in my case?

    • @ChrisLovejoy
      @ChrisLovejoy Рік тому

      so yes, some advantage in that I've gotten jobs where they want a SWE/data scientist with medical understanding. But this is still quite a small niche within overall SWE, so if you just want to develop software then medical degree less helpful

  • @DustinBayer-uk9rf
    @DustinBayer-uk9rf Рік тому

    😌 "Promo SM"

  • @hyperion5000
    @hyperion5000 Рік тому

    Chris, I cannot overemphasize how incredible this video series was. As a family doc fresh out of residency, I have been enamored by machine learning and the potential applications to clinical care, informatics and QI. This simple digestible series equipped my enthusiasm with the vocabulary I needed to know where to start. Thank you!

  • @StridesforAfrica
    @StridesforAfrica Рік тому

    these are amazing videos! thank you for posting this series!

  • @olayinkaowoseni6212
    @olayinkaowoseni6212 Рік тому

    Great video Dr! Please don't stop making these kinds of videos. Thank you

  • @meliormens2242
    @meliormens2242 Рік тому

    Hey Chris, thanks for the vid. I am a second year medical student and have been consuming your content at least for 2 years now (read your medical schhol guide before entering med schhol). In 2 days I am going to start a research project in gastroenterology/AI. The goal is to predict the number of cuts needed to remove a polyp in real time so that gastroenterologists can find the right cutting angle (the one with the least cuts predicted). So I guess I am at step 2/3. Even though i fing the topic incredibly interesting, I hope to be a practicing doctor in about 4 years. How did you come to the decision to leave practical medicine for data science? Didn't you miss patient interaction/ clinic vibes etc? Naïve greeting from Germany ;)

    • @ChrisLovejoy
      @ChrisLovejoy Рік тому

      Hey! Yes, I do miss clinical medicine and plan to go back at some point. But I feel like greater potential to build impactful things outside of clinical medicine first, and then to come back later. Let's see!

    • @meliormens2242
      @meliormens2242 Рік тому

      @@ChrisLovejoy Great to hear that :) Thanks for the honest words. My internship supervisor is doing clinics and 2 days per week Data Science / ML related research projects (it's called clinician scientist in Germany). That looks like a really fun way to go about it.

  • @chrismcgowan5180
    @chrismcgowan5180 Рік тому

    nah, not even selling a course to bankrupt me?? call yourself a data science UA-camr. pathetic ❤ Man I've missed your videos. Gritty is a word that comes to mind, very raw, down to earth and practical with no BS. Love it, along with the Python Programmer.

  • @surajzaveri6029
    @surajzaveri6029 Рік тому

    Thank you for the amazing video . I think I am at stage four. Have had experience building a data science pipeline, as I studied computer science in undergrad and took machine learning. However, I found that in my courses, much of the preprocessing and data cleaning was already done, leaving me somewhat incompetent at being able to format data from scratch in a way that seems useful. Beginning my first year of medical school now, do you have any additional recommendations on how to search for research projects that might help with the experience mentioned in stage five? My goal is to have completed stage five within the next 2 years so that once I do complete medical training I am able to contribute effectively to data science-related medical projects.

    • @ChrisLovejoy
      @ChrisLovejoy Рік тому

      Okay, nice! I wrote this which may be helpful: www.chrislovejoy.me/local-projects

  • @mauricioalbertoguevaracara171

    Thnak you!

  • @lettisiaNaimhwaka
    @lettisiaNaimhwaka Рік тому

    Genuis

  • @sirijanthakur
    @sirijanthakur Рік тому

    I dont understand what understanding means xD

  • @InacioInvita
    @InacioInvita Рік тому

    Definitely time to revisit this with ChatGPT 4 and plug-ins to scrape more info, no?

  • @mathewjohn3104
    @mathewjohn3104 Рік тому

    Very good series👍🏻

  • @rob6121
    @rob6121 Рік тому

    🫡🫡🫡👏👏👏 thank your walk through has helped me so much with my process

  • @forunsecurewebsite156
    @forunsecurewebsite156 Рік тому

    im thinking about can i get a youtube video mixed based on my 3 youtube account (design, programming, and fact) into 1 account, haha

  • @cossack4930
    @cossack4930 Рік тому

    Onenote has bidirectional linking. I want to adopt obsidian but I spend more time trying to figure it out with all the tags and dataview then actually taking notes. I always end up going back to the familiar OneNote you’re not taking methods are amazing. I look forward to more videos on the topic.

  • @Mr.Radiologist
    @Mr.Radiologist Рік тому

    Really helpful video, Chris-thank you! Great introduction to some basic concepts and useful suggestions of resources for further reading. Good to see where you’ve gone since med school!

  • @zarlishattique4167
    @zarlishattique4167 Рік тому

    Why all of my models have accuracy of 0.9651162790697675 🥲 I think I am doing some technical problem

    • @ChrisLovejoy
      @ChrisLovejoy Рік тому

      what's the imbalance on the dataset?

    • @zarlishattique4167
      @zarlishattique4167 Рік тому

      @@ChrisLovejoy Thank you Mr.Chris but I followed what you taught.

  • @felipeanime1999
    @felipeanime1999 Рік тому

    How is the process while you watch the lectures? do you take handwriting notes, type directly in obsidian, both? Personally, I find difficult to stop the lecture everytime to take notes in a organized way in obsidian

    • @ChrisLovejoy
      @ChrisLovejoy Рік тому

      so all my lectures were online, so I just watched the video and made notes in obsidian - trying not to pause the video. so a bunch of my lecture notes are full of screenshots of parts of the lecturers screen

  • @jamesstramer5186
    @jamesstramer5186 Рік тому

    Have started using obsidian seriously now! Thanks for posting this!

  • @guillaume6373
    @guillaume6373 Рік тому

    One question I had is how do you reconcile with the fact often content is assessed in a very lecture specific way i.e. review lectures 1,2,3 for this quiz - except if you're doing it in obsidian with lots of links, yes you have all the information technically reachable from one place, but it's a lot of clicking back and forth (compared to just having all the info per lecture in one note) - any recommendations?

    • @ChrisLovejoy
      @ChrisLovejoy Рік тому

      so I think the nice thing with obsidian is that you can cater for both - you can have you "lecture-orientated" view (which I have as the first level), and could just look at those - or you can structure in other ways. so you can access depending on needs

  • @guillaume6373
    @guillaume6373 Рік тому

    Keen to watch this new vid! Thanks for making one on Obsidian :)

  • @mowafy003
    @mowafy003 Рік тому

    thanks a lot for such an informative video ... i have a problem coding a Triage sort calculator, i would be so delighted if you can help if you have time. i am obviously missing a piece of info . i have entered 4 ( if ) commands for 4 categories of respiratory rate and when i run the code the program obliges me to put in values for the RR more than one time .. any tips on how to avoid that ??? thanks alot

    • @ChrisLovejoy
      @ChrisLovejoy Рік тому

      feel free to ping the code to hi@chrislovejoy.me

  • @quincyhampton3243
    @quincyhampton3243 Рік тому

    Now do you ask your questions during the vid like pausing it and writing the questions down or at the end after observing the full vid and putting ir down on paper and notes helps retain the information rite?

  • @guillaume6373
    @guillaume6373 Рік тому

    That strategy journal tip was really helpful, hadn't heard of it but I'm definitely going to start doing that - thanks!

  • @shadifa4496
    @shadifa4496 Рік тому

    thank you Chris, it was so useful for me