Was Sie vorher wissen sollten
bevor Sie beginnen
Beginnt 4 June 2026 05:47
Endet 4 June 2026
Foundations of Data Science
Dartmouth College
15 Kurse
Founded in 1769, Dartmouth is an Ivy League university offering a small-town ambiance in Hanover, NH, loaded with top-ranking academics and a plethora of student activities.
Nicht angegeben
Optionales Upgrade verfügbar
Alle Niveaus
Lernen Sie in Ihrem eigenen Tempo
Free
Optionales Upgrade verfügbar
Übersicht
Explore the fascinating world of Data Science with the comprehensive course "Foundations of Data Science," offered by Dartmouth College on edX. This course delves into the intricate relationship between Data Science, artificial intelligence (AI), and its crucial components, including statistical learning (SL), machine learning (ML), and deep learning algorithms (DL), which are pivotal in driving organizational innovation and value creation.
Echoing Dr. Jim Gray's perspective, this curriculum underscores Data Science as the fourth paradigm, essential for formulating inventive solutions to organizational challenges.
Starting with the fundamentals, the course introduces basic concepts in probability, including joint and conditional probabilities, setting the stage for their application in ML algorithms for Market Basket Analysis and Recommender Systems.
The journey continues through random variables, discrete and continuous probability distributions, sampling, estimation, and the principle of the central limit theorem, laying a solid foundation in statistical analysis.
The curriculum emphasizes the critical process of feature selection in ML model building to circumvent overfitting and underfitting, explaining the use of hypothesis testing in models like regression and logistic regression for this purpose. It further explores various hypothesis tests and their application in feature selection.
Additionally, the course covers the quintessential step of optimization in ML model development, highlighting pivotal techniques and algorithms such as Gradient Descent crucial for enhancing AI and ML models.
A deep dive into the essentials of linear algebra is provided, discussing matrix representation and operations, including matrix inverse and multiplication, as they form the backbone of AI and ML model development.
Designed for both students and practitioners keen on enlarging their understanding of Data Science's fundamental concepts, this course paves the way for a thriving career in Data Analytics. It navigates through the diverse categories of Machine Learning, Deep Learning, Data Science, and Recommender Systems Courses, ensuring a well-rounded educational experience.
Unterrichtet von
Dinesh Kumar
