Monday, January 27, 2020

Course Checkpoint : Ai for Everybody by Andrew Ng on Coursera

Utilising the Enterprise Coursera Premium Subscripition provided by the University and to brush up my Machine learning and other skills required as i build my project X for now will use Couersera content , to understand the dynamics of AI teams in organisations and to gain a broader view of the AI in Industry beyond the DIY and small learning projects we do as students I completed this excellent course taught by Andrew Ng and with the tips and tricks picked from Siraj Raval , like watching the videos at 2x and greater now i can easily watch videos at 2.20x and even greater sometimes and completed the entire course in less than week 

Things taught in course were :

- The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science
- What AI realistically can--and cannot--do
- How to spot opportunities to apply AI to problems in your own organization
- What it feels like to build machine learning and data science projects
- How to work with an AI team and build an AI strategy in your company
- How to navigate ethical and societal discussions surrounding AI


As i went through the course i made my E-notes [Screenshot of the slides] so that in case i need to look it up later or use same example to explain the concept to someone else can easily  look back to

My Notes on Medium  :  [Notes] Ai- For Everyone by Deeplearning.ai on Coursera by Andrew Ng

My Course Completion Certificate : Coursera Certificate



Next up Python Course + Python for Webscraping and Visualisation for the Project Requirements , then later ML and DL ones , shifted my harshityadav95.blogspot.com to blog.harshityadav.in , will post updates here but will keep complete techincal ones on mediun [but wont post it behind the metered Medium wall,technical posts and learing should be free to all]


Saturday, January 11, 2020

Endgame 2020

" Failure is an option here if you are not failing,you are not Innovating enough"- Elon Musk

Step 1 : Learning to Learn Faster 

10 Ways to Learn Anything Faster

Takeaway :
1) Have a will power and mental confidence that you can learn it. 
2) Create your own curriculum  (using reference of some University and other College Course), then write your own path you will be following to achieve it 
3) 2 hours a day is Minimum , and make Learning Goals which requires Implementation 
4) Instead of following the Quotes and Motivation always know why you are learning this and your end goal
5) Learn to meditate  and Meditate at least 5-10 min in the Morning
6) Do Cardiovascular exercise (something like ecstatic dance) in morning and after learning something new for better memory retention  
7) Use the Pomodore technique
8) Take small breaks after a session
9) Use Multiple split windows and Tabs as you learn and watch Videos  
10) If you don't understand anything find ELI5 (explain like i am 5 year Old on Internet)
11) Use Chrome Extension call Spreed for speed reading text in the browser  
12) Watch the Videos at 2X ,(it will be harder at first and in some videos but your brain muscles will get adapted to it over time)
13 Make some Handwritten Notes even when you are typing or when your area of work doesn't require writing with hand .
14) Learn by doing , Trying  
15) When Trying , the Application doesn't need to be a defined problem set and you can use you own case 
16) Use you Knowledge as a tool and educate others (Teaching others) or teach yourself by speaking out loud.
17) Find a Study Group or a study buddy or make some self study deck and slides 
18) Eat well , you are what you eat   
19) Sleep Well ,Use Blue light filter before going to sleep 

" There is a Smaller Number of People those who can do Math , there is even a smaller number who can explain it , but those who do both they become Billionaire " 
Axelrod

Step 2: Be It Computer Science or Machine Learning , Face it


 How to Learn Mathematics Fast

Takeaway :
  • Use the Formula Charts and Cheat Sheets
  • Gamify the Problem Solving like "Brilliant" and "Variant" or the Game True Learn
  • Make your own Curriculum
  • Use the ADEPT Method (Analogy, Diagram , Example , Plain English, Technical Definition, Personal Definition for difficult terms)