"It was a wonderful experience interacting with you and appreciate the way you have planned and executed the whole publication process within the agreed timelines.”
Subrat SaurabhAuthor of Kuch Woh Pal
Artificial Intelligence (AI) has grown to be a very popular field in today’s world. It is the simulation of natural intelligence in machines that are programmed to learn and mimic the actions of humans. Machine learning is a branch of artificial intelligence based on the idea that computers can learn from data, identify patterns and make decisions with minimal human intervention and gradually improve in decision making over time with more data. Deep learning is a subset of machine learning and is one of the most popular fields in artificial intelligence (AI). This book entails the machine learning and deep learning concepts, basic to advanced algorithms along with the explanation of mathematics behind each algorithm.
Key Features
· Fundamental concept of machine learning and deep learning
· Explanation of important terminology used in machine learning and deep learning
· In-depth explanation of machine learning and deep learning algorithms along with mathematics behind them
· Coverage of machine learning algorithms such as linear regression, logistic regression, SVM, decision tree, random forest, KNN, naïve Bayes, market basket analysis, clustering (K-Means, K-Medoids, K-Modes, and K-Prototypes), and Boosting (AdaBoost, GBM, and XGBoost)
· Coverage of deep learning algorithms such as ANN, RNN, LSTM, GRU, and CNN
Pradeep Tripathi
Pradeep Tripathi is a Data Scientist at Antuit.ai. He primarily works on leveraging data science, advanced analytics, and machine learning to solve business problems. He has done his Bachelor of Technology (B.Tech) degree with a specialization in Information Technology from Dr. MGR University, Chennai followed by a Master of Business Administration (MBA) degree with a specialization in Information Systems Management from the University of Petroleum and Energy Studies, Dehradun.
Pradeep has around 7 years of overall work experience with more than 5 years of experience in data science and machine learning with expertise in statistical methods, machine learning, and deep learning. His research interest includes solving complex business problems in the field of natural language processing (NLP). His other interests include learning about new technology, data science, artificial intelligence, and deep learning.
