About the book:
Algorithm Design Techniques: Recursion, Backtracking, Greedy, Divide and Conquer, and Dynamic Programming.
Algorithm Design Techniques is a detailed, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer.
• Enumeration of possible solutions for the problems.
• Performance trade-offs (time and space complexities) between the algorithms.
• Covers interview questions on data structures and algorithms.
• All the concepts are discussed in a lucid, easy to understand manner.
• Interview questions collected from the actual interviews of various software companies will help the students to be successful in their campus interviews.
• Python-based code samples were given the book.
Buy the book Algorithm Design Techniques: Recursion, Backtracking, Greedy, Divide and Conquer and Dynamic Programming from Ideakart.com.
You need much more than imagination to predict earthquakes and detect brain cancer cells. Become an expert in designing and deploying TensorFlow and Keras models, and generate insightful predictions with the power of deep learning. Key Features Cover the basics of neural networks and choose the right model architecture Make predictions with a trained model and get to grips with TensorBoard Evaluate metrics and techniques and deploy a model as a web application Book DescriptionWith this book, you’ll learn how to train, evaluate and deploy Tensorflow and Keras models as real-world web applications. After a hands-on introduction, you’ll use a sample model to explore the details of deep learning, selecting the right layers that can solve a given problem. By the end of the book, you’ll build a Bitcoin application that predicts the future price, based on historic, and freely available information. What you will learn Set up a deep learning programming environment Explore the common components of a neural network and its essential operations Prepare data for a deep learning model- Deploy model as an interactive web application, with Flask and a HTTP API Use Keras, a TensorFlow abstraction library Explore the types of problems addressed by neural networks Who this book is forThis book is ideal for experienced developers, analysts, or a data scientists, who want to develop applications using TensorFlow and Keras. This rapid hands-on course quickly shows you how to get to grips with TensorFlow in the context of real-world application development. We assume that you are familiar with Python and have a basic knowledge of web application development. If you have a background in linear algebra, probability, and statistics, you will easily grasp concepts that are discussed in the book.
Buy the book Beginning Application Development with TensorFlow and Keras: Learn to design, develop, train, and deploy TensorFlow and Keras models as real-world applications from Ideakart.com.