Machine Learning Using TensorFlow Cookbook: Create powerful machine learning algorithms with TensorFlow
About this ebook
- Deep Learning solutions from Kaggle Masters and Google Developer Experts
- Get to grips with the fundamentals including variables, matrices, and data sources
- Learn advanced techniques to make your algorithms faster and more accurate
- Take TensorFlow into production
- Implement and fine-tune Transformer models for various NLP tasks
- Apply reinforcement learning algorithms using the TF-Agents framework
- Understand linear regression techniques and use Estimators to train linear models
- Execute neural networks and improve predictions on tabular data
- Master convolutional neural networks and recurrent neural networks through practical recipes
If you are a data scientist or a machine learning engineer, and you want to skip detailed theoretical explanations in favor of building production-ready machine learning models using TensorFlow, this book is for you. Basic familiarity with Python, linear algebra, statistics, and machine learning is necessary to make the most out of this book.
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About the author
Alexia Audevart, also a Google Developer Expert in machine learning, is the founder of datactik. She is a data scientist and helps her clients solve business problems by making their applications smarter. Her first book is a collaboration on artificial intelligence and neuroscience.
Konrad Banachewicz holds a PhD in statistics from Vrije Universiteit Amsterdam. His academic work focused on extreme dependency modeling in credit risk. In addition to his research activities, he was a tutor and supervised master's students. He transitioned from classical statistics to data mining and machine learning before “data science” became a buzzword. Over the next decade, he tackled quantitative analysis problems in various financial institutions, becoming an expert in the full life cycle of a data product. His work spanned high-frequency trading to credit risk, predicting potato prices, and analyzing anomalies in the performance of large-scale industrial equipment. He is a believer in knowledge sharing and also competes on Kaggle.
Luca Massaron is a data scientist with over a decade of experience in transforming data into high-impact, innovative artifacts, solving real-world problems, and generating value for businesses and stakeholders. He is the author of numerous bestselling books on AI, machine learning, and algorithms. Luca is also a 3x Kaggle Grandmaster who reached number 7 in the worldwide user rankings for his performance in data science competitions. Additionally, he is recognized as a Google Developer Expert (GDE) in AI, Kaggle, and the cloud.
