Predictive Analytics with TensorFlow

Predictive Analytics with TensorFlow

by Md. Rezaul Karim


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Who doesn't want to cook fast and healthy meals in the comfort of their own home? The main issue is finding the time to make the kinds of meals my family and I enjoy eating. That's where the Instant Pot comes in. This revolutionary electric pressure cooker allows you to make delicious meals in a short amount of time.

To make cooking interesting and fun, we have to have variety in our kitchen. This book will give you that and much more. In this book, you will find my best, hand-picked recipes that you can make with instant pot pressure cooker. Meals that you will prepare will be absolutely delicious.

Here Is A Preview Of What You'll Learn...
  • Chapter 1: Instant Pot - A Revolution In My Kitchen
  • Chapter 2: How It Works?
  • Chapter 3: Cleaning And Caring For Your Instant Pot
  • Chapter 4: Instant Pot Pressure Cooking Time Charts
  • Chapter 5: Useful Tips For The Instant Pot
  • Chapter 6: Recipes

We have included tips on how you can make good use of your instant pot as well the benefits of having an instant pot. Understand your instant pot well and together with the easy and simple recipes provided, you will be able to prepare great meals without going through so much trouble. The Instant pot has changed the lives of many, bringing convenience in preparing a meal to our daily lives, so all you need is this book with the wide range of recipes which will guide in preparing for any meal of the day.

Just remember! Investment in your health is the best present that you could ever make for yourself. Be Happy! Be Healthy!

Use these "made-easy" recipes, and start cooking today!

Product Details

ISBN-13: 9781788398923
Publisher: Packt Publishing
Publication date: 10/26/2017
Pages: 522
Product dimensions: 7.50(w) x 9.25(h) x 1.05(d)

About the Author

Md. Rezaul Karim is a research scientist at Fraunhofer FIT, Germany. He is also a Ph.D. candidate at the RWTH Aachen University, Aachen, Germany. He holds a BSc and an MSc degree in computer science. Before joining Fraunhofer FIT, he was working as a researcher at Insight Centre for Data Analytics, Ireland. He has also worked as a lead engineer at Samsung Electronics' distributed R&D institutes in Korea, India, Turkey, and Bangladesh. Previously, he worked as a research assistant in the Database Lab, Kyung Hee University, Korea. He also worked as an R&D engineer with BMTech21 Worldwide, Korea. He has also worked as a software engineer with i2SoftTechnology, Dhaka, Bangladesh.

He has more than 8 years of experience in the area of research and development with solid understanding of algorithms and data structures in C, C++, Java, Scala, R, and Python. He has published several books, articles, and research papers concerning big data and virtualization technologies, such as Spark, Kafka, DC/OS, Docker, Mesos, Zeppelin, Hadoop, and MapReduce. He is also equally competent with deep learning technologies, such as TensorFlow, DeepLearning4j, and H2O. His research interests include machine learning, deep learning, Semantic Web, Linked data, big data, and bioinformatics.

He is the author of the following book titles:

1. Large-Scale Machine Learning with Spark (Packt Publishing Ltd.)

2. Deep Learning with TensorFlow (Packt Publishing Ltd.)

3. Scala and Spark for Big Data Analytics (Packt Publishing Ltd.)

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