The Hundred-Page Machine Learning Book by Andriy Burkov
- Publisher: COMPUTER SCIENCE
- Availability: In Stock
- SKU: 46268
- Number of Pages: 135
Rs.590.00
Rs.750.00
Tags: AI Development , AI Enthusiast , Algorithm , Andriy Burkov , Artificial Intelligence , Bayesian Networks , Beginner's Guide , best books , Best Selling Books , Big Data , Book Review , Cloud Computing , Computer Vision , Concise Format , Cross-validation , Data Analysis , Data Interpretation , Data Mining , Data Preprocessing , Data Science , Data Scientist , Data Visualization , Decision Trees , Deep Learning , Dimensionality Reduction , Ensemble Methods , Evaluation Metrics , Feature Engineering , good books , Gradient Descent , Jupyter Notebook , Keras , Learning Path , Machine Learning , Machine Learning Algorithms , Model Deployment , Model Interpretability , Model Training , Natural Language Processing , Neural Network Architecture , Neural Networks , Overfitting , Python , Quick Learning , Reinforcement Learning , Scikit-learn , Supervised Learning , Support Vector Machines , Technical Guide , Technology , TensorFlow , Time Series Analysis , Underfitting , Unsupervised Learning
"The Hundred-Page Machine Learning Book" by Andriy Burkov provides a concise yet comprehensive introduction to the fundamentals of machine learning. Burkov distills complex concepts into a hundred pages, making it accessible for beginners while still offering insights for more experienced practitioners. Covering key topics like supervised and unsupervised learning, neural networks, and practical tips for model deployment, this book serves as a practical guide and reference for anyone interested in understanding the basics of machine learning.
Key Points:
- Concise Introduction: Burkov condenses essential machine learning principles into a hundred-page format, ideal for quick learning.
- Broad Coverage: Topics include supervised and unsupervised learning, reinforcement learning, and neural networks.
- Practical Applications: Emphasizes practicality with insights into model deployment and real-world implementation.
- Accessible Language: Written in clear, accessible language suitable for beginners and professionals alike.
- Authoritative Insights: Offers insights from Andriy Burkov, a recognized expert in the field of machine learning.
Conclusion: "The Hundred-Page Machine Learning Book" serves as an invaluable resource for anyone looking to grasp the core concepts of machine learning efficiently. Its succinct approach, coupled with practical examples and expert insights, makes it a must-read for beginners and a handy reference for seasoned practitioners alike.
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Writer ✤ Andriy Burkov (Author)
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