Education
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Book Review
Machine Learning
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Book Summary
Time Series Analysis
1️⃣ Book overview and review
Machine Learning for Time-Series with Python (By Ben Auffarth)
🧵 See thread below
#datascience #machinelearning #python
Machine Learning for Time-Series with Python (By Ben Auffarth)
🧵 See thread below
#datascience #machinelearning #python
2️⃣ 👤 Author
- Ben Auffarth @benji1a
- Full-stack data scientist with >15 years of work experience
- Has a Ph.D. in computational and cognitive neuroscience
- Run brain models on IBM supercomputers with up to 64k cores
- Ben Auffarth @benji1a
- Full-stack data scientist with >15 years of work experience
- Has a Ph.D. in computational and cognitive neuroscience
- Run brain models on IBM supercomputers with up to 64k cores
3️⃣ 📚 Book details
- Coverage of the utilization of machine learning for time series analysis (analysis of trend and seasonality)
- 370 pages
- 12 Chapters
- Coverage of the utilization of machine learning for time series analysis (analysis of trend and seasonality)
- 370 pages
- 12 Chapters
4️⃣ What you will learn? 1/3
- Understand the main classes of time-series and learn how to detect outliers and patterns
- Choose the right method to solve time-series problems
- Characterize seasonal and correlation patterns through autocorrelation and statistical techniques
- Understand the main classes of time-series and learn how to detect outliers and patterns
- Choose the right method to solve time-series problems
- Characterize seasonal and correlation patterns through autocorrelation and statistical techniques
5️⃣ What you will learn? 2/3
- Get to grips with time-series data visualization
- Understand classical time-series models like ARMA and ARIMA
- Implement deep learning models, like Gaussian processes, transformers, and state-of-the-art machine learning models
- Get to grips with time-series data visualization
- Understand classical time-series models like ARMA and ARIMA
- Implement deep learning models, like Gaussian processes, transformers, and state-of-the-art machine learning models
6️⃣ What you will learn? 3/3
- Become familiar with many libraries like Prophet, XGboost, and TensorFlow
- Become familiar with many libraries like Prophet, XGboost, and TensorFlow
7️⃣ 🤔 Who is this book for?
- Those wanting to learn about time series data analysis
- Basic knowledge of the Python language is essential.
- Familiarity with statistics is desirable.
- Those wanting to learn about time series data analysis
- Basic knowledge of the Python language is essential.
- Familiarity with statistics is desirable.
8️⃣ 📖 12 Chapters 1/2
1. Introduction to Time-Series w/ Python
2. Time-Series Analysis w/ Python
3. Preprocessing Time-Series
4. Introduction to Machine Learning for Time-Series
5. Forecasting w/ Moving Averages and Autoregressive Models
6. Unsupervised Methods for Time-Series
1. Introduction to Time-Series w/ Python
2. Time-Series Analysis w/ Python
3. Preprocessing Time-Series
4. Introduction to Machine Learning for Time-Series
5. Forecasting w/ Moving Averages and Autoregressive Models
6. Unsupervised Methods for Time-Series
9️⃣ 📖 12 Chapters 2/2
7. Machine Learning Models for Time-Series
8. Online Learning for Time-Series
9. Probabilistic Models for Time-Series
10. Deep Learning for Time-Series
11. Reinforcement Learning for Time-Series
12. Multivariate Forecasting
7. Machine Learning Models for Time-Series
8. Online Learning for Time-Series
9. Probabilistic Models for Time-Series
10. Deep Learning for Time-Series
11. Reinforcement Learning for Time-Series
12. Multivariate Forecasting
🔟 My impressions 1/2
- The author provided a logical progression of topics that starts with a general introduction to time series data analysis followed by how to preprocess and perform basic time series data analysis
using machine learning and deep learning
- The author provided a logical progression of topics that starts with a general introduction to time series data analysis followed by how to preprocess and perform basic time series data analysis
using machine learning and deep learning
1️⃣1️⃣ My impressions 2/2
- Several use case data sets are provided spanning operations management, digital marketing, finance and healthcare
- Several use case data sets are provided spanning operations management, digital marketing, finance and healthcare
1️⃣2️⃣ Getting the book
- The ebook is available at a heavy discount to $5 packt.link
- The ebook is available at a heavy discount to $5 packt.link
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