7 hrs 53 mins | COMPUTERS | Data Science2 books in 1! This is the bundle of two successful books in the market.
Book 1: In "Deep Learning for Beginners: A comprehensive introduction of deep learning fundamentals for beginners to understanding frameworks, neural networks, large datasets, and creative applications with ease" you will learn:
• Deep learning utilizes frameworks which allow people to develop tools which are able to offer better abstraction, along with simplification of hard programming issues.
• The book illustrates TensorFlow and Caffe2 as the prime frameworks that are used for development by Google and ...
2 books in 1! This is the bundle of two successful books in the market.
Book 1: In "Deep Learning for Beginners: A comprehensive introduction of deep learning fundamentals for beginners to understanding frameworks, neural networks, large datasets, and creative applications with ease" you will learn:
• Deep learning utilizes frameworks which allow people to develop tools which are able to offer better abstraction, along with simplification of hard programming issues.
• The book illustrates TensorFlow and Caffe2 as the prime frameworks that are used for development by Google and Facebook.
• The book considers several components and tools of deep learning such as the neural networks; CNNs, RNNs, GANs, and auto-encoders.
• The book also considers several applications, including chatbots and virtual assistants, which have become the main focus for deep learning into the future, as they represent the next frontier in information gathering and connectivity.
• And much more...
Book 2: In "Data Science from Scratch: The #1 Data Science Guide for Everything A Data Scientist Needs to Know: Python, Linear Algebra, Statistics, Coding, Applications, Neural Networks, and Decision Trees" you will learn:
• In depth information about what data science is and why it is important.
• The prerequisites you will need to get started in data science.
• What it means to be a data scientist.
• The roles that hacking and coding play in data science.
• The different coding languages that can be used in data science.
• Why python is so important.
• How to use linear algebra and statistics.
• The different applications for data science.
• How to work with the data through munging and cleaning
• And much more...
Get your copy of these fantastic guides to master state-of-the-art, deep learning algorithms and their implementation!
| # | Title | Duration |
|---|---|---|
| 1. | Deep learning for beginners bundle - opening credits |
0 mins 26 secs |
| 2. | 01 Deep Learning for Beginners - Opening Credits |
0 mins 43 secs |
| 3. | 02 Deep Learning for Beginners - Preface |
2 mins 00 secs |
| 4. | 03 Deep Learning for Beginners - Introduction |
7 mins 54 secs |
| 5. | 04 Deep Learning for Beginners - Chapter 1 |
9 mins 43 secs |
| 6. | 05 Deep Learning for Beginners - Chapter 2 |
23 mins 51 secs |
| 7. | 06 Deep Learning for Beginners - Chapter 3 |
42 mins 53 secs |
| 8. | 07 Deep Learning for Beginners - Chapter 4 |
47 mins 15 secs |
| 9. | 08 Deep Learning for Beginners - Chapter 5 |
12 mins 14 secs |
| 10. | 09 Deep Learning for Beginners - Chapter 6 |
21 mins 45 secs |
| 11. | 10 Deep Learning for Beginners - Conclusion |
7 mins 09 secs |
| 12. | 11 Deep Learning for Beginners - About the Author |
1 mins 06 secs |
| 13. | 12 Deep Learning for Beginners - Closing Credits |
0 mins 30 secs |
| 14. | 01 Data Science From Scratch - Opening Credits |
0 mins 25 secs |
| 15. | 02 Data Science From Scratch - Preface |
1 mins 58 secs |
| 16. | 03 Data Science From Scratch - Introduction |
6 mins 52 secs |
| 17. | 04 Data Science from Scratch - Data Science and Its Importance |
15 mins 27 secs |
| 18. | 05 Data Science From Scratch - What you Need |
5 mins 50 secs |
| 19. | 06 Data Science From Scratch - Data Science and Big Data |
10 mins 41 secs |
| 20. | 07 Data Science From Scratch - The Advantages to Data Science |
6 mins 53 secs |
| 21. | 08 Data Science From Scratch - Data Scientists |
12 mins 48 secs |
| 22. | 09 Data Science From Scratch - The Importance of Hacking |
8 mins 40 secs |
| 23. | 10 Data Science From Scratch - The Importance of Coding |
39 mins 20 secs |
| 24. | 11 Data Sciece From Scratch - How to Work With Data |
28 mins 23 secs |
| 25. | 12 Data Science From Scratch - Python |
50 mins 57 secs |
| 26. | 13 Data Science From Scratch - Machine Learning and Analytics |
4 mins 12 secs |
| 27. | 14 Data Science From Scratch - Linear Algebra |
25 mins 47 secs |
| 28. | 15 Data Science From Scratch - Statistics |
13 mins 24 secs |
| 29. | 16 Data Science From Scratch - Decision Trees |
6 mins 01 secs |
| 30. | 17 Data Science From Scratch - Neural Networks |
17 mins 14 secs |
| 31. | 18 Data Science From Scratch - Scalable Data Processing |
17 mins 04 secs |
| 32. | 19 Data Science From Scratch - Data Science Applications |
9 mins 39 secs |
| 33. | 20 Data Science From Scratch - Conclusion |
7 mins 50 secs |
| 34. | 21 Data Science From Scratch - About the Author |
1 mins 08 secs |
| 35. | 22 Data Science From Scratch - Closing Credits |
0 mins 35 secs |
| 36. | Deep learning for beginners bundle - closing credits |
0 mins 27 secs |
Download app from
