|
RAR-files |
| lynda.building.a.recommendation.system.with.python.machine.learning.and.ai-apollo.rar |
50,000,000 |
49CCBF42 |
| lynda.building.a.recommendation.system.with.python.machine.learning.and.ai-apollo.r00 |
50,000,000 |
7ADFB366 |
| lynda.building.a.recommendation.system.with.python.machine.learning.and.ai-apollo.r01 |
44,403,951 |
0769101E |
|
| Total size: |
144,403,951 |
|
|
| Archived
files |
|
01. Welcome - 79s.mp4 |
5,500,403 |
D90D5B7B |
|
02. Using the exercise files - 78s.mp4 |
3,972,739 |
76CC2BDA |
|
03. Introducing core concepts of recommendation systems - 262s.mp4 |
8,071,752 |
44FA1B21 |
|
04. Popularity-based recommenders - 578s.mp4 |
16,430,753 |
45F7BBBA |
|
05. Evaluating similarity based on correlation - 1598s.mp4 |
48,056,167 |
DA32A5FB |
|
06. Classification-based collaborative filtering - 684s.mp4 |
22,476,455 |
1FC2E9CA |
|
07. Model-based collaborative filtering systems - 1514s.mp4 |
43,954,024 |
7FA24B0C |
|
08. Content-based recommender systems - 535s.mp4 |
16,527,458 |
54362683 |
|
09. Evaluating recommendation systems - 588s.mp4 |
18,751,685 |
4E7DE8D2 |
|
10. Next steps - 20s.mp4 |
1,210,656 |
87F7E89C |
|
Ex_Files_Intro_Python_Rec_Systems.zip |
1,407,104 |
5BE0E70F |
|
| Total size: |
186,359,196 |
|
|
