About Author

Dr. Angajala Srinivasa Rao

B.Sc., M.E(GeoInf), M.Tech.(CSE), M.Tech.(Comm), M.Tech.(CSE), M.Tech (Comm), M.S.(Ukraine), Ph.D

MIEEE, LMCSI, LMISTE, MIACSIT, MCSTA, IAENG

He entered the room with a regal air, A man of knowledge, a teacher rare, dressed in finery that bespoke his class, A suit of power, a force to amass.

Years of learning and experience gained, A trailblazer, a master in his domain, He set his sights on a world beyond, A future of technology, yet to dawn.

His passion for knowledge never to sate, An ambition to conquer, to dominate, From the age of three, his hunger grew, A flame within, never subdued.

Technology beckoned, a challenge to meet, A frontier to conquer, a prize to defeat, Undaunted, he forged ahead with zeal, A quest to fulfil, a destiny to reveal.

With each step, he blazed a trail, Challenging limits, he would never fail, A legacy to leave, a mark to make, A life of excellence, his destiny to take.

So he pressed on, with a fire unclenched, With a heart full of passion, a spirit entrenched, For he was a man of purpose, a true force, A master of knowledge, a guiding source.

Comments

What is Data Science

Learn Data Science - Introduction Introduction to Data Science History The field of data science has its roots in statistics and computer science and has evolved to encompass a wide range of techniques and tools for understanding and making predictions from data. The history of data science can be traced back to the early days of statistics when researchers first began using data to make inferences and predictions about the world. In the 1960s and 1970s, the advent of computers and the development of new algorithms and statistical methods led to a growth in the use of data to answer scientific and business questions. The term "data science" was first coined in the early 1960s by John W. Tukey, a statistician and computer scientist . In recent years, the field of data science has exploded in popularity, thanks in part to the increasing availability of data from a wide range of sources, as well as advances in computational power and machine learning. Today, data science is us...

What is Data Exploration and Visualization

Learn Data Exploration Techniques and Data Visualization Tools Content of Data Exploration and Data Visualization : Data Exploration Techniques Descriptive Statistics Data Visualization Tools Exploratory Data Analysis Data Exploration Techniques Data exploration techniques are used to gain an understanding of the data and its characteristics. Some common data exploration techniques include: Summary Statistics : This involves calculating summary statistics such as mean, median, mode, variance, standard deviation, etc. These statistics provide a basic understanding of the data's central tendency, spread, and distribution. Histograms : Histograms are used to visualize the distribution of a numerical variable. They show the number of data points that fall into specific intervals or bins. Box Plots : Box plots show the distribution of a numerical variable an...

Data Science Study Material

Learn Data Science step-by-step Topics of Data Science Introduction to Data Science What is Data Science? Brief History of Data Science Applications of Data Science Data Science Process Data Collection and Cleaning Data Collection Methods Data Quality Assessment Data Cleaning Techniques Outlier Detection Data Exploration and Visualization Data Exploration Techniques Descriptive Statistics Data Visualization Tools Exploratory Data Analysis Probability and Statistics Probability Basics Random Variables and Probability Distributions Statistical Inference (Hypothesis Testing, Confidence Intervals) Regression Analysis Machine Learning What is Machine Learning? Types of Machine Learning (Supervised, Unsupervised, Reinforcement) Regression (Linear, Logistic) Decision Trees and Random Forests Neural Networks (Perceptron, MLP, CNN, RNN) Data Preparation and Feature Engineering Data Preprocessing Techniques Feature Engineering Techniques Feature Selection Techniques Dimensionality Reduction...

Search This Blog