Couldn't have asked for a better learning experience. The structure flowed perfectly, and the examples were incredibly relevant. Highly recommend!
Probability and Statistics for Machine Learning with Python
Master the foundational mathematical concepts of probability and statistics required to build, evaluate, and optimize machine learning models using Python.
O tym kursie
To truly understand how machine learning algorithms make decisions and predictions, you must understand the mathematics that powers them. This course bridges the gap between abstract mathematical theory and practical data science applications.
You will transition from treating machine learning models as "black boxes" to deeply understanding how they analyze data and make predictions. Through written explanations, step-by-step mathematical breakdowns, and hands-on Python code examples, you will build a strong foundation in probability and statistics.
What you'll learn:
- Understand core probability concepts, including conditional probability, Bayes' theorem, and probability distributions.
- Apply statistical methods to analyze data distributions, calculate summary statistics, and perform hypothesis testing.
- Implement mathematical concepts programmatically using modern Python libraries like NumPy and SciPy.
- Analyze how machine learning algorithms use probability for classification, regression, and decision-making.
- Evaluate model performance using statistical metrics, validation techniques, and error analysis.
The journey begins with essential terminology and the foundational rules of probability, then moves step-by-step into statistical estimation and hypothesis testing, before concluding with practical Python implementations of these mathematical concepts.
This course is designed for beginners in data science and machine learning who want to build their mathematical foundation. Basic familiarity with Python is helpful, but no advanced mathematical background is required.
Start reading today to unlock the mathematical secrets behind modern machine learning.
Co otrzymasz
-
📜
Certyfikat ukończenia
Dodaj do profilu LinkedIn -
♾️
Dożywotni dostęp
Wracaj, kiedy chcesz — bez wygaśnięcia -
📱
Telefon lub komputer
Działa wszędzie, na każdym urządzeniu -
💸
Zwrot w 30 dni
Bez pytań -
⚡
Krótko i konkretnie
1 godz 7 min praktycznej treści
Recenzje (13)
It's a solid course. The structure is logical and most of the examples were helpful. Could use a few more real-world scenarios though.
Wow, what a fantastic learning experience. The structure was logical, and I felt like I learned so much in a short time. Definitely recommend.
Honestly, pretty disappointing. The concepts weren't explained well at all, and the examples were confusing. Wouldn't do this again.
Hmm, I'm not sure about this one. Some of the explanations were confusing, and the examples didn't always seem to fit. Wish it was clearer.
Hmm, I'm not sure this is for absolute beginners. It assumes a bit of prior knowledge that wasn't explicitly taught. Some examples were confusing.
This was a brilliant way to learn! The structure was logical, the pace was spot on, and the examples were super helpful. Highly recommend!
Good introduction to the topic. The structure was logical, and most of the examples were relevant, though I wished for more depth in certain areas.
This course exceeded my expectations! The real-world examples were incredibly helpful. I learned so much and feel ready to apply it.
This was exactly what I was looking for. The explanations were so clear and the examples really helped solidify the concepts.
It's a decent introduction. Could benefit from more diverse examples and a slightly better flow between modules.
Fantastic course. The examples used were spot on and really helped solidify the concepts. My understanding has improved dramatically.
Good introduction. I appreciated the clear steps, although some of the later modules could have used more examples.
Inni uczyli się też
Naucz się obliczać ryzyko, podejmować decyzje oparte na danych i opanować podstawowe koncepcje prawdopodobieństwa dzięki jasnym, praktycznym wyjaśnieniom przeznaczonym dla początkujących.
$4.99$9.99
Poznaj podstawy prawdopodobieństwa bayesowskiego, porównaj je z metodami częstościowymi i analizuj dane z rzeczywistego świata, aby podejmować świadome decyzje w warunkach niepewności.
$4.99$9.99
Opanuj podstawowe zasady prawdopodobieństwa, rozkładów i miar ufności, aby podejmować dokładne, oparte na danych decyzje w warunkach niepewności.
$4.99$9.99
Opanuj podstawowe prawdopodobieństwo, statystyki opisowe i koncepcje regresji potrzebne do rozpoczęcia udanej kariery w dziedzinie danych i analityki biznesowej.
$4.99$9.99
Najczęstsze pytania
Czego potrzebuję, by wziąć udział w tym kursie? +
Wystarczy telefon lub komputer z internetem. Bez instalacji i specjalnego sprzętu.
Jak zapłacić? +
Kartą przez Stripe lub kryptowalutą. Nie przechowujemy danych karty — robi to bezpiecznie Stripe.
Czy mogę otrzymać zwrot? +
Tak — pełen zwrot w 30 dni, bez pytań.
Jak długo będę mieć dostęp? +
Na zawsze. Po zakupie kurs jest twój — wracaj, kiedy chcesz.
Czy dostanę certyfikat? +
Tak. Po ukończeniu otrzymasz certyfikat, który możesz dodać do profilu LinkedIn.
Stworzony dla uczących się w
IT
Design
Finanse
Marketing
Ochrona zdrowia
Edukacja
Hotelarstwo
Produkcja