Latest posts tagged with #LearnInPublic on Bluesky
Day 46 of learning AI/ML
I studied Statistics & Probability
(@khanacademy - Unit 2)
• Shapes of distributions
• Identifying clusters, gaps & peaks
• Comparing distributions with dot plots, histograms & box plots
• Comparing center and spread of datasets
#LearnInPublic #AI #ML
Day 71 to 81 of #100DaysOfcode
- listen to x-spaces about career resiliencies by recruiters, sr. engineers.
- going through fundamentals of graphql, nodejs, reactjs
- watching podcast of kelesy hightower on being engineer that people values.
#LearnInPublic
Day 45 of learning AI/ML
I studied Statistics & Probability
(@khanacademy - Unit 2)
• Representing quantitative data
• Frequency tables & dot plots
• Creating & interpreting histograms
• Stem and leaf plots
#LearnInPublic #AI #ML
I publish this journey every week in my newsletter.
Real projects. Real lessons. Real progress.
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— Ayesha | FlutterMobile App Developer 📱 #FlutterDev #MobileApp #BuildingInPublic #LearnInPublic #ayeshappdev
Day 44 of learning AI/ML
I studied Statistics & Probability
(Khan Academy - Unit 1)
• Identifying marginal vs conditional distributions
• Marginal distributions from two-way tables
• Conditional distributions within categories
• Understanding relationships between variables
#LearnInPublic #AI #ML
Day 43 of learning AI/ML
I studied statistics & Probability
(Khan Academy-Unit 1)
•Venn diagrams for relationships between sets
•Two-way frequency tables
•Two-way relative frequency tables
•Interpreting categorical data
•Identifying trends & associations in categorical data
#LearnInPublic #AI #ML
Day 42 of learning AI/ML
I studied Statistics & Probability
( Khan Academy - Unit 1)
• Individuals & variables
• Categorical variables
• Data visualization: pictograph, bar chart, pie chart
• Measures of center: mean (average), median, mode
• Range & midrange
#LearnInPublic #AI #ML
Day 41 of learning AI/ML
I practiced linear algebra in Python with NumPy
• Vector scaling, addition, subtraction
• Element-wise multiplication
• Matrix × vector operations
• Matrix multiplication
• Determinant calculation
• Eigenvalues computation
#LearnInPublic #AI #ML
Today is another Fundamentals clearing day.
so, for that reason, I picked up graphql.
making anki cards, checking out their official websites.
of course, from roadmap.sh/graphql as well.
#learninpublic
Day 40 of learning AI/ML
I studied abstract vector spaces
(3blue1brown)
• What makes something a vector (axioms)
• Functions as vectors
• Linear operators acting on vectors
• Matrices extending to infinite dimensions
• Why abstraction matters in math
#LearnInPublic #AI #ML
Serious curiosity means you don't stop at "I get the idea." You work through the math, write the code, hit the walls, and come out the other side actually understanding it. That's what I write about at thoughtsre.substack.com.
#LearnInPublic
Day 39 of learning AI/ML
I studied eigenvectors & eigenvalues
• Eigenvectors - directions unchanged by a transformation
• Eigenvalues - how much those vectors scale
• Quick trick for computing eigenvalues
• Geometric meaning of eigenvectors
#LearnInPublic #AI #ML
Day 38 of learning AI/ML
I studied linear algebra
Source: 3blue1brown
• Cross product viewed as a linear transformation
• Cramer’s Rule - geometric way to solve linear systems
• Change of basis - vectors in different coordinate systems
• Translating coordinate systems
#LearnInPublic #AI #ML
Day 37 of learning AI/ML
I studied dot & cross products (linear algebra)
Source: 3blue1brown
• Dot product -> measures alignment between vectors
• Same direction -> positive
• Perpendicular -> 0
• Opposite direction -> negative
• Cross product -> vector perpendicular to both
#LearnInPublic #AI #ML
Day 36 of learning AI/ML
I studied linear algebra fundamentals
Key points
•Inverse matrices
•Column space -> all vectors a matrix can produce
•Null space -> vectors mapped to zero
•Linear systems of equations
•Non-square matrices as dimension-changing transformations
#LearnInPublic #AI #ML
Day 35 of learning AI/ML
I studied: Linear transformations in 3D & determinants
source: 3blue1brown
Key points:
•3D transformations using 3×3 matrices
•Matrix multiplication in three dimensions
•Determinant as volume scaling factor
•Determinant sign -> orientation flip
#LearnInPublic #AI #ML
Day 70 of #100DaysOfcode
- reading the blog post of Mitchel Hashimoto's ai adoption journey (mitchellh.com/writing/my-a...)
- then checking out GitHub repo of (agents.md) website.
- came across something really neat algorithm called ( fisher-yates algorithm )
#LearnInPublic
Interesting Read.
krasimirtsonev.com/blog/article...
this blog post dive deep into the *Ai Assisted Coding* truthiness.
and honestly i've felt this too in my day jobs and side hustles.
#LearnInPublic
Interesting Read.
mitchellh.com/writing/my-a...
this is about blog of mitchel hashimoto's ( founder of harshicorp) ai journey.
he shares a lot. in this blog
#ai #learninpublic
Today I just decide to checkout the *OpenClaw* project that everyone been talking about.
let see what it's got.
#LearnInPublic
Day 65 to 69 of #100DaysOfcode
- continue reading book about ai engineering.
- reading articles about awesome engineering blogs froom the GitHub repo.
- applying to jobs. and preparing myself for interviews.
- learning basic fundamentals about *cloud* technology.
#LearnInPublic
I was thinking really "lightly" of regex.
but now understand that large portion of the "redos" attack that happens. Are due to regex vulnerability.
learned something really interesting.
#LearnInPublic
owasp.org/www-communit...
Ranked up to 6kyu on Codewars. I've built a habit over time of doing one challenge a day. I've gotten pretty comfortable with 7kyu so I suppose it's time to move up to the next level 💪 #learninpublic #100devs
I've been getting out a bit more lately and working with friends in a coffee shop or restaurant. I used to think people were crazy to do it, but now I see the appeal! medium.com/@amccollum.d... #learninpublic #100devs #softwaredevelopment
Day 59 to 64 of #100DaysOfcode
- reading books about ai engineering.
#LearnInPublic
Reading a book is one of the best habit I have.
and these past couple of weeks i'm reading one based on Ai Engineering.
named : Ai Engineering: Build Application with Foundation Models by Chip Huyen
#bookreading #learninpublic #aiengineering
7 weeks of consistent posting. Now adding Web3 to the mix.
If you want to watch someone learn this in real time — mess ups included — follow along.
Let's build something. Together.
#BuildingInPublic #Web3 #LearnInPublic
Tuples Lock Down Array Length and Position Types
Tuples enforce exact array positions and types, fixed length, position-specific safety.
#LearnInPublic #TypeScript #JavaScript
Index Signatures Let Objects Accept Any Key
Index signatures enable dynamic keys with type safety -perfect for dictionaries and lookup tables.
#LearnInPublic #TypeScript #JavaScript
Use Generics to Replace Repetitive Type Definitions
One generic type replaces dozens of definitions same safety, way less code.
#LearnInPublic #TypeScript #JavaScript
