Skocz do zawartości

Aktywacja nowych użytkowników
Zakazane produkcje

  • advertisement_alt
  • advertisement_alt
  • advertisement_alt
Courses2024

Probability-The Engine of Inference

Rekomendowane odpowiedzi

855c33ceeddee085321bc01efe1f7995.jpeg
Free Download Probability-The Engine of Inference
Published 9/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 37m | Size: 2.19 GB
Mastering Uncertainty and Decision-Making through Probability and Statistics

What you'll learn
Define key concepts of probability, including randomness, sample space, and event probabilities.
Explain the relationship between probability and statistics and how probability is used to make inferences about populations.
Apply probability principles to solve real-world problems, such as calculating expected outcomes and making decisions under uncertainty.
Analyze situations involving risk and uncertainty, and determine the likelihood of various outcomes.
Evaluate different probabilistic models and assess the validity of inductive reasoning in various contexts.
Create structured decision-making processes that incorporate probability to manage uncertainty in practical scenarios.
Requirements
Basic Math Skills: Students should have a foundational understanding of algebra, including working with fractions, percentages, and solving simple equations.
Logical Thinking and Problem-Solving Skills: Students should be comfortable analyzing problems and thinking critically to apply mathematical concepts to real-world scenarios.
Interest in Data and Decision-Making: A curiosity about how probability and statistics apply to everyday situations and decision-making processes will enhance the learning experience.
Description
Dive into the world of probability and statistics in this dynamic course that explores the mathematical foundations behind decision-making under uncertainty. Beginning with the basics, we define probability as a measure of likelihood and its relationship to statistics. The course delves into key concepts like inductive reasoning, where generalizations are made from specific data points, and introduces probability as the driving force behind statistical inferences.Through engaging with real-world examples and thought experiments, students will uncover how our intuition can mislead us in situations involving randomness and learn the significance of experiments and trials in estimating probabilities. The course also introduces Pascal's Wager, using it as a springboard to explore expected value, and guides students through concepts such as complementary, independent, and mutually exclusive events.A major focus is placed on understanding sample spaces and event probabilities to predict outcomes, and the role of the expected value in evaluating risks. Finally, the course explores the central limit theorem, showing why larger sample sizes yield more reliable results in both theory and practice. By the end of the course, students will be equipped with the tools and confidence to apply probabilistic thinking and statistical analysis to complex, real-life problems, offering a fresh perspective on how numbers drive the future. This course is ideal for those seeking to understand how probability informs decisions in everything from games of chance to critical life choices.
Who this course is for
Students and Lifelong Learners: Anyone curious about understanding how probability and statistics shape decision-making and predictions in everyday life and various fields.
Professionals in Data-Driven Fields: Individuals working in industries such as finance, business, economics, marketing, or healthcare who want to improve their ability to assess risk, forecast outcomes, and make data-driven decisions.
Aspiring Data Scientists and Analysts: Those looking to build a strong foundation in probability as a key component of statistical analysis, machine learning, and data science.
Educators and Teachers: Teachers and educators who want to deepen their understanding of probability to improve their teaching methods and explain complex concepts to students.
General Enthusiasts: People interested in mathematics, logic, and problem-solving who want to explore the fascinating world of probability and how it informs everything from games of chance to critical decisions.
Homepage

Ukryta Zawartość

    Treść widoczna tylko dla użytkowników forum DarkSiders. Zaloguj się lub załóż darmowe konto na forum aby uzyskać dostęp bez limitów.





Ukryta Zawartość

    Treść widoczna tylko dla użytkowników forum DarkSiders. Zaloguj się lub załóż darmowe konto na forum aby uzyskać dostęp bez limitów.

No Password - Links are Interchangeable

Udostępnij tę odpowiedź


Odnośnik do odpowiedzi
Udostępnij na innych stronach

Dołącz do dyskusji

Możesz dodać zawartość już teraz a zarejestrować się później. Jeśli posiadasz już konto, zaloguj się aby dodać zawartość za jego pomocą.

Gość
Dodaj odpowiedź do tematu...

×   Wklejono zawartość z formatowaniem.   Usuń formatowanie

  Dozwolonych jest tylko 75 emoji.

×   Odnośnik został automatycznie osadzony.   Przywróć wyświetlanie jako odnośnik

×   Przywrócono poprzednią zawartość.   Wyczyść edytor

×   Nie możesz bezpośrednio wkleić grafiki. Dodaj lub załącz grafiki z adresu URL.

    • 1 Posts
    • 22 Views
    • 1 Posts
    • 13 Views
    • 1 Posts
    • 14 Views
    • 1 Posts
    • 97 Views

×
×
  • Dodaj nową pozycję...

Powiadomienie o plikach cookie

Korzystając z tej witryny, wyrażasz zgodę na nasze Warunki użytkowania.