Top 5 AI Articles of February 2022 Every Data Scientist Should Read

Here are the five best HackerNoon articles related to artificial intelligence in February. I hope they will help you learn more about machine learning this year.

Note that the five articles you will see were curated by myself amongst hundred of other super interesting ones that you might enjoy even more.  So please feel free to look at the AI tag on HackerNoon and keep learning!

And please let me know what you think of this format by liking the video and commenting if you'd like it to become a monthly thing or not in collaboration with Hackernoon! Enjoy!

Watch the video

References

►The Article: https://www.louisbouchard.ai/hn-top-5-articles-february/

The Top 5 AI Articles:

►5: Reinforcement Learning Course: Part 1 - https://hackernoon.com/reinforcement-learning-course-part-1

►4: Learn K-Means Clustering by Quantizing Color Images in Python -
https://hackernoon.com/learn-k-means-clustering-by-quantizing-color-images-in-python

►3: Using Weights and Biases to Perform Hyperparameter Optimization -
https://hackernoon.com/using-weights-and-biases-to-perform-hyperparameter-optimization

►2: Confusion Matrix in Machine Learning: Everything You Need to Know -
https://hackernoon.com/confusion-matrix-in-machine-learning-everything-you-need-to-know

►1: Verified Writers vs. GPT3: Combating Disinformation with the Rise of
Robots - https://hackernoon.com/verified-writers-vs-gpt3-combating-disinformation-with-the-rise-of-robots

►My Newsletter (A new AI application explained weekly to your emails!): https://www.louisbouchard.ai/newsletter/

Video Transcript

00:00

if you enjoy my videos but prefer

00:02

reading know that you can also find an

00:04

article version of my videos on hacker

00:06

noon every week i've been sharing them

00:08

there for over a year now and i've even

00:11

had a great time participating in their

00:13

podcast with amy this is why i wanted to

00:15

collaborate with them to make this video

00:17

possible here are the 5 best articles

00:20

related to artificial intelligence in

00:22

february hoping they will make you want

00:25

to learn more and visit their website

00:27

this video is sponsored by hackernoon

00:29

and the five articles you will see were

00:31

curated by myself amongst hundreds of

00:34

other super interesting ones that you

00:36

might enjoy even more so please feel

00:39

free to look at the ai tag on hacker

00:41

noon and keep learning and please let me

00:44

know what you think of this format by

00:46

liking and commenting if you'd like it

00:48

to become a monthly thing or not

00:50

personally i loved going through all the

00:52

articles and finding these five gems to

00:54

share with you but first i think you

00:56

shall know a bit more about hacker noon

00:58

and why i like them hacker noon is the

01:00

best place for software developers

01:02

blockchain experts data scientists and

01:04

tech people like us to read write and

01:07

even publish indeed just like me you can

01:10

also publish your own work on there for

01:13

free getting published on hacker noon

01:15

gives you third party validation for

01:16

your writing and puts you alongside

01:18

engineers from the top tech companies

01:21

who have also chosen to write on

01:22

hackernoon giving you great visibility

01:25

in your niche and they will help spread

01:26

your articles on twitter and other media

01:29

which helped me quite a lot

01:32

this first article is incredible it won

01:35

the fifth position simply because it

01:37

isn't really an article but a complete

01:39

course paul labarta barrow did a

01:41

fantastic job explaining reinforcement

01:44

learning in this part one of his

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articles series aiming to cover the

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fundamentals up to cutting-edge

01:50

techniques used in reinforcement

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learning she walks you through a clear

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step-by-step course with coding examples

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and tutorials in python you have the

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theory analogies examples code and jokes

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he even provides homeworks and his email

02:04

address to reach out if needed it's

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beautifully explained and a pretty good

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resource if you'd like to get into

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reinforcement learning and it's entirely

02:12

free

02:14

the fourth position goes to bala priya

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with her article called learn key means

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clustering by quantizing color images in

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python in this article bella covers a

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wide range of subjects such as

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supervised learning versus unsupervised

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learning the k-means algorithm the elbow

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method and a clear example explaining

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these concepts using color quantization

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she is a fantastic writer and teacher

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and even comes back later in this top

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five having learned k-means with the

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same example is the best way to

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visualize and graphs how it works she

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provides clear explanations of the math

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and code behind the algorithms great

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visuals and even code for you to

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implement it as well if you are not

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familiar with k-means or color

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quantization you should definitely read

02:58

more this algorithm is widely used and

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pretty powerful you will love it and

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it's pretty fun to play with the images

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you generate using the algorithm

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yes this is an article about weights and

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biases and it isn't even sponsored this

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is because i simply love their tool and

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so does codcam the authors of this

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article they cover how to perform hyper

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parameter optimization using weights and

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biases since i already speak a lot about

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weights and biases in my other videos i

03:29

won't enter into the details here but

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this is a fantastic article if you'd

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like to improve your weights and biases

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skills and have a clear guide to set

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your optimization process easily it has

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a clear code example and a great

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explanation of hyper parameter

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optimizations different approaches and

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tools check this one out if you use

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weights and biases to track your

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experiments

03:52

confusion mattresses are extremely

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useful for evaluating the performance of

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your machine learning models in this

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great article bella priya once again

04:01

provides a fantastic explanation this

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time covers what a confusion matrix is

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why to use it and when to do so the

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whole tutorial is extremely clear with

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everything you need to follow along she

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also includes an overview of machine

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learning and classification tasks as she

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highlights this tutorial will help you

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understand the confusion matrix and the

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various matrix that you can calculate

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from the confusion matrix so if you work

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with classification models or are

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starting your way in machine learning

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this is a must read

04:33

and my favorite article of the month is

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verified writers versus gpt3 combating

04:39

this information with the rise of robots

04:42

in this article sarah ottman from the

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non-profit organization verified writers

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covers a side of gpt3 that isn't

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discussed enough the dangers of having

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access to such a great language model

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she covers what gpt3 is its risks the

04:58

dangers of fake news and why a good ai

05:02

may be dangerous for writers and the

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population the latter is also the reason

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openai used to explain why they license

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the usage of dpt3 instead of open

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sourcing it i think there may be other

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reasons for that but hey who knows the

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article is interesting and well written

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hopefully not by gpt3 it even provides

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tool too as she says address the rise of

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robots and protect human writers this

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last one is my favorite due to its

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discussion of ai ethics if ai ethics

05:32

also interests you you should definitely

05:35

read this piece also i'd strongly invite

05:37

you to follow my newsletter where two

05:39

amazing people work with me to share

05:41

opinions and knowledge about the ethical

05:43

side of the papers i cover here on the

05:45

channel in this week's iteration martina

05:48

extends on this last article with a very

05:50

interesting view the link is in the

05:52

description if you'd like to learn more

05:54

and subscribe to it thank you hackernoon

05:56

for sponsoring the video and a special

05:58

thanks to you that are still watching i

06:01

hope you enjoyed this special video and

06:03

don't forget to subscribe to learn more

06:05

about ai stay up to date with new

06:07

research and support the channel please

06:09

let me know what you think of this

06:11

format in the comments and leave a like

06:13

if you'd like it to become a monthly

06:15

thing or not before you leave don't

06:17

forget that you have until the end of

06:19

march to participate in the nvidia rtx

06:21

3080ti gpu giveaway in my previous video

06:25

where you can find all the details

06:27

i will see you next week with another

06:29

awesome paper covered