Essential_Math_For_Data_Science_By_Thomas_Nield_Spiral-Bound
Essential_Math_For_Data_Science_By_Thomas_Nield_Spiral-Bound
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Essential Math For Data Science By Thomas Nield Spiral-Bound

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size

17.78 x 1.91 x 22.86 cm

Product Information

Ideal For

General Readers, Fiction Lovers, Mythology & Historical Fiction Readers, Indian Mythology Enthusiasts, Young Adults (YA) & Adults, College Students, Competitive Exam Aspirants (General Reading / Culture), Gift Purpose (Books Gift Set), Spiritual & Philosophy Interest Readers, Library / Book Collection Buyers


Country Of Origin

India


About Author

Thomas Nield Is The Founder Of Nield Consulting Group As Well As An Instructor At O'Reilly Media And University Of Southern California. He Enjoys Making Technical Content Relatable And Relevant To Those Unfamiliar Or Intimidated By It. Thomas Regularly Teaches Classes On Data Analysis, Machine Learning, Mathematical Optimization, And Practical Artificial Intelligence. At Usc He Teaches Ai System Safety, Developing Systematic Approaches For Identifying Ai-Related Hazards In Aviation And Ground Vehicles. He'S Authored Two Books, Including Getting Started With Sql (O'Reilly) And Learning Rxjava (Packt).


Author Name

Thomas Nield


Genre

Science & Mathematics


No Of Pages

349


Publisher

Books Kingdom

Product Description


  • Premium Quality: Master the math needed to excel in data science, machine learning, and statistics with this authoritative guide by Thomas Nield.

  • Product Design: The book guides readers through areas like calculus, probability, linear algebra, and statistics and how they apply to techniques like linear regression, logistic regression, and neural networks.

  • User Experience: Along the way, readers also gain practical insights into the state of data science and how to use those insights to maximize their career.

  • Versatile Occasion: Suited for college students, competitive exam aspirants, data professionals, and anyone seeking to strengthen their mathematical foundation for modern analytical disciplines.