Introduction | Mathematics and statistics for data science and machine learning

Mathematics and statistics for data science and machine learning: I am thrilled to announce that with this video I am starting a new series called mathematics and statistics for data science and machine learning. Math and stats as a field are very vast and whenever someone starts studying data science or machine learning the confusion is "how much math or statistics should I learn?" In this playlist I will cover only essential topics that can help you in your data science or ML journey.

#️⃣ Social Media #️⃣

❗❗ DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.

[MLDSInsights]

Some topics suggestion
Discrete Distributions
Binomial Distributions
Normal Distributions
Sampling Distributions of x
Confidence Intervals
Z-Interval
T-Interval
Proportion Z-Interval
Steps in Hypothesis Testing
Z-Test
T-Test
Proportion Z-Test
Inferences for Two Samples
Two Means-Independent Samples
Mean Difference-Dependent Samples
Two Proportions
Correlation
Testing Correlation
Chi-Square & F-Distributions
Χ2 Test of Independence
Analysis of Variance (ANOVA)

[joycegemcanete]

Cheers to those who are planning to be a self-made Data Scientists with the help of our public mentors like this guy! We can do this! 💪

[vikashdas]

You're a savior, I'm following your Roadmap for DataScientist and very soon I'm gonna make you proud. Lots of respect for your work 👍🏻

[indraxios]

Multivariate calculas for ml and data science
Thanks for this
We really need this series the most 🙏

[anketsonawane]

I recommend you to take topics like
1) correlation (pearson's method)
2) ANOVA (Analysis of variance)
3 Regression (Linear regression, non-linear regression, logical regression, multiple regression etc...)

[DataProfessor]

This is awesome Dhaval, great things you're doing for the community!

[AB-wedh]

All the topics of Statistics and Probability required for a entry level Data Analyst. Thank you!

[lenhatat]

Hello Mr. Dhaval, it takes time to find a great person in Python and Data Science as you and finally I did.

[honeyshah]

Because of you I'm in machine learning in less than 1 month thank you so much sir

[adilmajeed]

Probability, Matrices, Numerical Methods, Fourier Series, Laplace Transformation and Differential Equations along with coding examples and challenges

[Çalhanoğluuuu]

I've watched videos of other famous tech youtubers on some topics, but I found your explanation is very clear and understandable. You helped me clear some doubts which the so called famous tech youtubers couldn't. Thank you so much!

[mudaliyarnz]

Brilliant idea!Anxiously waiting...Many thanks.

[dipeshpatilpatil]

Sir please make videos on following topics following topics:

Introduction to Mathematics for Machine Learning
Linear Algebra
Scalar
Vectors
Vector Operations
Matrix
Matrix Operations
Vectors as Matrix
Row Echelon Forms
Inverse of Matrix
Eigen Vectors
Application of Linear Algebra in Machine Learning
Multivariate Calculus
What is Differentiation?
Rules of Differentiation
Partial Differentiation
Application of Multivariate Calculus in Machine Learning
Probability
What is Probability?
Terminologies in Probability
Distributions in Probability
Types of Probability
Bayes Theorem
Application of Probability in Machine Learning
Statistics
What is Statistics?
Basic Terminologies in Statistics
Sampling Techniques
Types of Statistics
Hypothesis Testing

[anketsonawane]

What a I am doing online course of data science from coursera.... And i was thinking that how much statistics & maths should i I searched a lot about this... But I was not able to get proper information... Thanks to you....!! You came at perfect time... 😊

[arnabmukherjee]

This is so important...please provide good practice materials too...people only talk about concepts but not enough to build up on top of those...please also collaborate someone who can dig deeper
1. Importance of calculus concepts
( Differential equation, multivariate calc, do we also need trig to some extent????)
2. Real life application of higher level maths in model building (may be you can refer us to some curated materials)
3. Stats and linear algebra are no brainer...
Thanks for this initiative...really like your teaching style..

[GujjuRakshit]

Sir your machine learning series is awesome.
1. Theory concept
2 . Code
3. Practical use case scenario of that concept where can we use in ML/ DS.

[SHIVAMGUPTA-klgk]

Really excited and waiting for this series

[LikhithaH]

Hi sir, I am youtuber too (about data science) and I know how it is to make videos and upload them all by urself. hats off for making so many videos with great explanation. I've been following you for a very long time sir

[karthiks]

Thanks Daval bhai
Looking forward to seeing your new videos on statistics

[tkevasu]

Sir, Thanks so much for your video on Maths and Statistics required for ML really very helpful for many fresher.