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Introduction To Robotics
₹499.00
The field of Robotics—the exciting blend of Science, Technology, Engineering,
and Mathematics (STEM)—is rapidly shaping our future, but for many young
adults and students eager to begin their studies, the subject can seem overly
complex and inaccessible. This book serves as your essential introduction, written
specifically for beginners with no prior experience, aiming to transform your
initial curiosity into genuine competence. You are standing at the edge of the next
great technological revolution. Robotics is no longer science fiction; it is the
powerful blend of Science, Technology, Engineering, and Mathematics (STEM)
that is currently reshaping our daily lives. We will demystify the core components
of any robot, focusing on the basics of mechanical design, the principles of
sensing and perception, and the fundamentals of programming and control
systems. By clearly explaining these foundations, this book provides the crucial
first steps necessary to understand and eventually build your own intelligent
machines, preparing you for a future where mastery of robotics is key to
innovation and problem-solving.
Introduction To Robotics
₹499.00
The field of Robotics—the exciting blend of Science, Technology, Engineering,
and Mathematics (STEM)—is rapidly shaping our future, but for many young
adults and students eager to begin their studies, the subject can seem overly
complex and inaccessible. This book serves as your essential introduction, written
specifically for beginners with no prior experience, aiming to transform your
initial curiosity into genuine competence. You are standing at the edge of the next
great technological revolution. Robotics is no longer science fiction; it is the
powerful blend of Science, Technology, Engineering, and Mathematics (STEM)
that is currently reshaping our daily lives. We will demystify the core components
of any robot, focusing on the basics of mechanical design, the principles of
sensing and perception, and the fundamentals of programming and control
systems. By clearly explaining these foundations, this book provides the crucial
first steps necessary to understand and eventually build your own intelligent
machines, preparing you for a future where mastery of robotics is key to
innovation and problem-solving.
INTRODUCTION TO THEORY OF STATISTICS
₹499.00
This book, Introduction to Theory of Statistics, provides a foundational and advanced
exploration of the core principles that govern statistical analysis. Beginning with Chapter
1: Theory of Probability, the text introduces the fundamental concepts of chance,
randomness, and the axiomatic foundations of probability that serve as the bedrock of
statistical reasoning. Chapter 2 delves into Random Variables and Distribution Functions,
emphasizing both discrete and continuous variables and the rules governing their
distributions. Chapter 3 builds on this by exploring Expectations and Moments, offering
insight into key statistical measures such as the mean, variance, skewness, and kurtosis,
which describe the central tendency and shape of data distributions. Moving forward,
Chapter 4 focuses on Distribution Functions, presenting detailed studies of probability
distributions and their real-world applications. Chapter 5 addresses Continuous
Distributions, introducing vital continuous probability models such as the normal,
exponential, and gamma distributions, which are instrumental in various fields of
research and industry. The comprehensive nature of the text is further exemplified in
Chapter 6, which covers Joint and Conditional Distributions, Stochastic Independence,
and Advanced Expectations, facilitating a deeper understanding of how random variables
interact and influence one another. Finally, Chapter 7 discusses Sampling Methods,
Sample Mean, and Population Estimation, where the theory meets practical application. It
examines different sampling techniques, the importance of sample statistics, and how
these are used to estimate and infer characteristics of larger populations. This chapter
bridges theoretical statistics and empirical analysis, highlighting estimation procedures
and the significance of inferential statistics in research and decision-making. Overall, the
book is structured to build statistical literacy progressively, supporting learners in
developing both conceptual clarity and applied skills necessary for advanced study and
real-world data analysis.
INTRODUCTION TO THEORY OF STATISTICS
₹499.00
This book, Introduction to Theory of Statistics, provides a foundational and advanced
exploration of the core principles that govern statistical analysis. Beginning with Chapter
1: Theory of Probability, the text introduces the fundamental concepts of chance,
randomness, and the axiomatic foundations of probability that serve as the bedrock of
statistical reasoning. Chapter 2 delves into Random Variables and Distribution Functions,
emphasizing both discrete and continuous variables and the rules governing their
distributions. Chapter 3 builds on this by exploring Expectations and Moments, offering
insight into key statistical measures such as the mean, variance, skewness, and kurtosis,
which describe the central tendency and shape of data distributions. Moving forward,
Chapter 4 focuses on Distribution Functions, presenting detailed studies of probability
distributions and their real-world applications. Chapter 5 addresses Continuous
Distributions, introducing vital continuous probability models such as the normal,
exponential, and gamma distributions, which are instrumental in various fields of
research and industry. The comprehensive nature of the text is further exemplified in
Chapter 6, which covers Joint and Conditional Distributions, Stochastic Independence,
and Advanced Expectations, facilitating a deeper understanding of how random variables
interact and influence one another. Finally, Chapter 7 discusses Sampling Methods,
Sample Mean, and Population Estimation, where the theory meets practical application. It
examines different sampling techniques, the importance of sample statistics, and how
these are used to estimate and infer characteristics of larger populations. This chapter
bridges theoretical statistics and empirical analysis, highlighting estimation procedures
and the significance of inferential statistics in research and decision-making. Overall, the
book is structured to build statistical literacy progressively, supporting learners in
developing both conceptual clarity and applied skills necessary for advanced study and
real-world data analysis.
