[ CourseLala.com ] Skillshare - Machine Learning, Neural Networks, Computer Vision, Deep Learning and Reinforcement
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文件数目：332个文件
文件大小：2.33 GB
收录时间：2022-12-10
访问次数：2
相关内容：CourseLalaSkillshareMachineLearningNeuralNetworksComputerVisionDeepReinforcement
文件大小：2.33 GB
收录时间：2022-12-10
访问次数：2
相关内容：CourseLalaSkillshareMachineLearningNeuralNetworksComputerVisionDeepReinforcement
文件meta
- ~Get Your Files Here !/29. Naive Bayes example clustering news.mp490.44 MB
- ~Get Your Files Here !/09. Linear regression implementation I.mp487.21 MB
- ~Get Your Files Here !/59. Boosting implementation II wine classification.mp476.66 MB
- ~Get Your Files Here !/27. What is text clustering.mp475.13 MB
- ~Get Your Files Here !/14. Logistic regression example II credit scoring.mp466.5 MB
- ~Get Your Files Here !/66. K means clustering text clustering.mp465.81 MB
- ~Get Your Files Here !/53. Random forests example III OCR parameter tuning.mp463.16 MB
- ~Get Your Files Here !/22. K nearest neighbor implementation II.mp450.28 MB
- ~Get Your Files Here !/62. Principal component analysis example.mp449.95 MB
- ~Get Your Files Here !/34. Support vector machine example I simple.mp447.9 MB
- ~Get Your Files Here !/13. Logistic regression example I sigmoid function.mp447.32 MB
- ~Get Your Files Here !/24. What is the naive Bayes classifier.mp446.88 MB
- ~Get Your Files Here !/71. 008 Hierarchical clustering market segmentation.mp446.5 MB
- ~Get Your Files Here !/63. Principal component analysis example II.mp446.33 MB
- ~Get Your Files Here !/57. Boosting introduction final formula.mp445.88 MB
- ~Get Your Files Here !/07. Linear regression theory optimization.mp444.38 MB
- ~Get Your Files Here !/37. Support vector machine example IV digit recognition.mp442.81 MB
- ~Get Your Files Here !/68. DBSCAN example.mp442.34 MB
- ~Get Your Files Here !/36. Support vector machines example III parameter tuning.mp441.6 MB
- ~Get Your Files Here !/41. Decision trees introduction entropy.mp440.5 MB
- ~Get Your Files Here !/61. Principal component analysis (PCA) introduction.mp438.65 MB
- ~Get Your Files Here !/11. What is logistic regression.mp438.17 MB
- ~Get Your Files Here !/42. Decision trees introduction information gain.mp437.84 MB
- ~Get Your Files Here !/65. K means clustering example.mp436.89 MB
- ~Get Your Files Here !/70. Hierarchical clustering example.mp436.55 MB
- ~Get Your Files Here !/06. What is linear regression.mp435.68 MB
- ~Get Your Files Here !/08. Linear regression theory gradient descent.mp435 MB
- ~Get Your Files Here !/31. Linearly separable problems.mp434.56 MB
- ~Get Your Files Here !/04. Types of artificial intelligence learning.mp433.03 MB
- ~Get Your Files Here !/35. Support vector machine example II iris dataset.mp432.35 MB
- ~Get Your Files Here !/43. The Gini index approach.mp432.21 MB
- ~Get Your Files Here !/21. K nearest neighbor implementation I.mp431.4 MB
- ~Get Your Files Here !/05. Fundamentals of statistics.mp431.12 MB
- ~Get Your Files Here !/33. Kernel functions.mp431.05 MB
- ~Get Your Files Here !/58. Boosting implementation I iris dataset.mp430.59 MB
- ~Get Your Files Here !/38. Support vector machine example V digit recognition.mp430.46 MB
- ~Get Your Files Here !/47. Decision tree implementation III identifying cancer.mp430.33 MB
- ~Get Your Files Here !/45. Decision trees implementation I.mp429.56 MB
- ~Get Your Files Here !/40. Decision trees introduction basics.mp429.36 MB
- ~Get Your Files Here !/49. Bagging introduction.mp428.19 MB
- ~Get Your Files Here !/28. Text clustering inverse document frequency (TF IDF).mp428.06 MB
- ~Get Your Files Here !/64. K means clustering introduction.mp427.96 MB
- ~Get Your Files Here !/01. Introduction.mp427.93 MB
- ~Get Your Files Here !/03. Why to learn artificial intelligence and machine learning.mp426.6 MB
- ~Get Your Files Here !/15. What is cross validation.mp426.48 MB
- ~Get Your Files Here !/16. Cross validation example.mp426.1 MB
- ~Get Your Files Here !/32. Non linearly separable problems.mp424.8 MB
- ~Get Your Files Here !/12. Logistic regression and maximum likelihood estimation.mp424.78 MB
- ~Get Your Files Here !/46. Decision trees implementation II parameter tuning.mp424.18 MB
- ~Get Your Files Here !/23. K nearest neighbor implementation III.mp423.87 MB