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De-Mystifying Math and Stats for Machine Learning. Mastering the Fundamentals of Mathematics and Statistics for Machine Learning

(ebook) (audiobook) (audiobook) Książka w języku angielskim
Autor:
Seaport AI
De-Mystifying Math and Stats for Machine Learning. Mastering the Fundamentals of Mathematics and Statistics for Machine Learning Seaport AI - okladka książki

De-Mystifying Math and Stats for Machine Learning. Mastering the Fundamentals of Mathematics and Statistics for Machine Learning Seaport AI - okladka książki

De-Mystifying Math and Stats for Machine Learning. Mastering the Fundamentals of Mathematics and Statistics for Machine Learning Seaport AI - audiobook MP3

De-Mystifying Math and Stats for Machine Learning. Mastering the Fundamentals of Mathematics and Statistics for Machine Learning Seaport AI - audiobook CD

Serie wydawnicze:
Learning
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
63
Dostępne formaty:
     PDF
     ePub

Ebook (35,91 zł najniższa cena z 30 dni)

39,90 zł (-50%)
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Do przechowalni

Beginning with basic concepts like central tendency, dispersion, and types of distribution, this course will help you build a robust understanding of data analysis. It progresses to more advanced topics, including hypothesis testing, outliers, and the intricacies of dependent versus independent variables, ensuring you grasp the statistical tools necessary for data-driven decision-making.
Moving ahead, you'll explore the mathematical frameworks crucial for machine learning algorithms. Learn about the significance of percentiles, the distinction between population and sample, and the vital role of precision versus accuracy in data science. Chapters on linear algebra and regression will enhance your ability to implement and interpret complex models, while practical lessons on measuring algorithm accuracy and understanding key machine learning concepts will round out your expertise.
The course culminates with an in-depth look at specific machine learning techniques such as decision trees, k-nearest neighbors (kNN), and gradient descent. Each chapter builds on the last, guiding you through a logical progression of knowledge and skills. By the end, you will have not only mastered the theoretical aspects but also gained practical insights into applying these techniques in real-world scenarios.

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O autorze książki

Trainer Govind Kumar has over 2 decades of experience managing Technology, Operations and Quality in top MNCs & startups. Held leadership roles (including Founder & CEO of an AI & Automation Startup) and managed businesses across Asia Pacific & Japan region.
He has expertise in AI, Six Sigma and Innovation
He successfully incubated Centers of Excellence for fraud prevention and service analytics.
Has significant experience in design thinking based product development and management. Played a critical role in developing products for emerging markets.

Education & Certification
B. Tech and Full time MBA from top institutes in India
Certifications in six sigma and project management.
Accolades
Won global awards in the areas of Customer Experience, Leadership Excellence, Quality and Technology.
Featured in the cover of CIO Review Magazine.
Board of Studies Member of the Board of Studies at Loyola College, Chennai, India (a 96 year old institution)

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