Mathematical Foundations of Machine Learning

booksz

U P L O A D E R
f810a58f4689086efe42ce53942b1832.webp

Free Download Mathematical Foundations of Machine Learning: Unveiling the Mathematical Essence of Machine Learning
English | 2024 | ISBN: 3689440041 | 97 Pages | PDF EPUB | 2.2 MB
"Mathematical Foundations of Machine Learning" delves into the fundamental mathematical concepts that underpin the field of machine learning, providing a comprehensive exploration of the mathematical principles behind algorithms and models. Whether you're a data scientist, researcher, or enthusiast seeking a deeper understanding of the mathematical intricacies driving machine learning, this book equips you with the knowledge and insights necessary to navigate the complex landscape of modern AI.



Code:
Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!
Links are Interchangeable - Single Extraction
 
Kommentar
541637676_oip.jpg

744.12 MB | 00:12:00 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English


Files Included :
01 gateway-to-the-course.mp4 (17.43 MB)
02 course-and-instructor-introduction-video.mp4 (8.99 MB)
01 introduction-to-problem-statement.mp4 (11.23 MB)
03 how-do-we-make-predictions.mp4 (4.22 MB)
04 methodology-of-evaluating-predictions.mp4 (5.49 MB)
05 introduction-to-data-division.mp4 (4.77 MB)
06 building-benchmark-models-and-evaluating-it.mp4 (10.24 MB)
06 building-benchmark-models-and-evaluating-it Benchmark Model.zip (82.2 KB)
07 introduction-to-machine-learning.mp4 (7.94 MB)
08 applications-of-machine-learning.mp4 (8.9 MB)
09 types-of-machine-learning.mp4 (7.94 MB)
01 ml-workflow.mp4 (18.13 MB)
02 tasks-to-be-performed.mp4 (12.03 MB)
02 tasks-to-be-performed Data Preprocessing.zip (5.65 MB)
03 combining-product-attribute-data-with-pos-data.mp4 (16.5 MB)
04 combining-all-the-tables-in-the-dataframe.mp4 (18.1 MB)
05 understanding-the-combined-data.mp4 (7.51 MB)
06 treating-missing-values-part-1.mp4 (12.14 MB)
07 treating-missing-values-part-2.mp4 (8.36 MB)
08 outlier-detection-and-treatment.mp4 (5.07 MB)
09 preparing-the-dataset-for-supervised-and-unsupervised-models.mp4 (8.1 MB)
10 generative-ai-for-data-analysis.mp4 (15.71 MB)
01 introduction-to-knn.mp4 (3.7 MB)
02 building-a-knn-model.mp4 (5 MB)
03 choosing-the-optimal-k.mp4 (3.05 MB)
04 different-ways-to-calculate-distance.mp4 (9.6 MB)
05 problems-with-distance-based-algorithm.mp4 (5.54 MB)
01 sklearn-to-build-optimal-process-to-build-an-ml-model.mp4 (6.32 MB)
02 building-a-knn-classification-model-and-evaluating-it.mp4 (22.36 MB)
02 building-a-knn-classification-model-and-evaluating-it KNN Model for Synergix.zip (959.33 KB)
03 choosing-the-right-k-value.mp4 (3.46 MB)
04 bias-and-variance.mp4 (9.34 MB)
01 understanding-confusion-matrix-and-accuracy.mp4 (12.64 MB)
01 understanding-confusion-matrix-and-accuracy Classification Evalauation Metrics - Notebook Dataset.zip (917.55 KB)
02 a-deep-dive-into-precision-recall-and-f1-score.mp4 (14.16 MB)
03 understanding-the-au-roc-curve.mp4 (8.64 MB)
01 why-do-we-calculate-rmse.mp4 (9.8 MB)
01 why-do-we-calculate-rmse Evaluation Metrics for Regression Problems.zip (878.68 KB)
02 understanding-r2-score-and-adjusted-r2-score.mp4 (8.68 MB)
01 train-test-split.mp4 (14.63 MB)
02 train-test-split-ratio-and-limit.mp4 (4.96 MB)
03 cross-validation.mp4 (6.47 MB)
04 implementing-cross-validation.mp4 (9.97 MB)
04 implementing-cross-validation Data Division Resorces.zip (833.58 KB)
05 benchmark-models.mp4 (11.15 MB)
01 introduction-to-linear-regression.mp4 (8.11 MB)
02 significance-of-slope-and-intercept-in-the-linear-regression.mp4 (14.92 MB)
02 significance-of-slope-and-intercept-in-the-linear-regression Linear Regression Notebooks.zip (301.99 KB)
03 how-model-decides-the-best-fit-line.mp4 (7.69 MB)
04 lets-build-a-simple-linear-regression-model.mp4 (9.59 MB)
05 model-understanding-using-descriptive-approach.mp4 (18.04 MB)
06 model-understanding-using-descriptive-approach-ii.mp4 (15.51 MB)
07 model-building-using-predictive-approach.mp4 (8.45 MB)
01 introduction.mp4 (3.05 MB)
02 lines-to-curves-with-logistic-regression.mp4 (7.32 MB)
02 lines-to-curves-with-logistic-regression Logistic Regression Notebook.zip (15.88 KB)
03 reading-between-the-curves-with-log-loss.mp4 (9.77 MB)
04 stats-model-summary.mp4 (11.28 MB)
05 feature-selection-and-scaling.mp4 (11.18 MB)
06 predictive-model-in-logistic-regression.mp4 (7.34 MB)
01 introduction-to-decision-trees.mp4 (9.34 MB)
02 lets-visualize-the-decision-tree.mp4 (12.71 MB)
02 lets-visualize-the-decision-tree Visualizing Decision Trees.rar (223.92 KB)
03 how-do-decision-trees-decide.mp4 (12.64 MB)
04 how-decision-trees-make-predictions.mp4 (5.53 MB)
05 hands-on-building-the-decision-tree-classification-model.mp4 (21.37 MB)
05 hands-on-building-the-decision-tree-classification-model Decision Tree - Classification.rar (634.58 KB)
06 hyperparameters-of-decision-trees.mp4 (9.56 MB)
07 hands-on-building-the-decision-tree-classification-model-part-2.mp4 (5.01 MB)
08 building-a-decision-tree-regression-model.mp4 (9.5 MB)
08 building-a-decision-tree-regression-model Decision Tree - Regression.rar (632.18 KB)
09 handling-imbalanced-datasets.mp4 (10.65 MB)
10 handling-imbalanced-datasets-hands-on.mp4 (14.92 MB)
10 handling-imbalanced-datasets-hands-on Handling Imbalanced Datasets.rar (631.84 KB)
01 setting-the-context.mp4 (7.39 MB)
02 choosing-clustering-algorithms.mp4 (9.27 MB)
03 solving-our-problem-using-k-means-part-1.mp4 (18.5 MB)
03 solving-our-problem-using-k-means-part-1 K-means Clustering for Synergix.rar (1 MB)
04 solving-our-problem-using-k-means-part-2.mp4 (6.47 MB)
05 finding-optimal-k-value.mp4 (12.62 MB)
06 analysis-and-insights-based-on-the-plot.mp4 (5.23 MB)
01 introduction-to-hierarchical-clustering-analysis-hca.mp4 (5.77 MB)
02 solving-our-problem-using-hierarchical-clustering.mp4 (10.1 MB)
02 solving-our-problem-using-hierarchical-clustering Hierarchical Clustering Analysis for Synergix.rar (855.97 KB)
03 introduction-to-dbscan.mp4 (12.17 MB)
04 solving-our-problem-using-dbscan-clustering.mp4 (10.32 MB)
04 solving-our-problem-using-dbscan-clustering DBSCAN Clustering for Synergix.rar (785.65 KB)
06 course-summary.mp4 (8.33 MB)
]
Screenshot
xNR7YOBS_o.jpg

sSmLD7QT_o.jpg

CVTWNtGG_o.jpg

ewFGcD9Z_o.jpg

SqOip6yd_o.jpg

9GvjqayL_o.jpg

DkRBQvh3_o.jpg

xUNrm2Hy_o.jpg

oU4kcJaY_o.jpg

AC8v5Fco_o.jpg

B1lrFATw_o.jpg

mEgWjGeq_o.jpg

0egf4jM7_o.jpg

2MGsknxP_o.jpg

8YkjBZFO_o.jpg

hHZcSIVH_o.jpg

aANKp7by_o.jpg

QgjWprr3_o.jpg

RFxqjGZN_o.jpg

xXvz8i90_o.jpg

tBhDxsEW_o.jpg

hYYM4Fqq_o.jpg

6Gt3S7iN_o.jpg

hVKKAeQO_o.jpg

Xh8vTBTB_o.jpg

iRW8lL24_o.jpg



Code:
Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

Code:
Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!
Code:
Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

Code:
Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!
 
Kommentar
537368816_que-es-udemy-analisis-opiniones.jpg

4.02 GB | 40min 11s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English


Files Included :
10 Matrix Tensors.mp4 (12.59 MB)
11 Generic Tensor Notation.mp4 (10.3 MB)
12 Exercises on Algebra Data Structures.mp4 (6.49 MB)
2 What Linear Algebra Is.mp4 (133.01 MB)
3 Plotting a System of Linear Equations.mp4 (39.85 MB)
4 Linear Algebra Exercise.mp4 (24.91 MB)
5 Tensors.mp4 (8.89 MB)
6 Scalars.mp4 (92.08 MB)
7 Vectors and Vector Transposition.mp4 (49.2 MB)
8 Norms and Unit Vectors.mp4 (64.87 MB)
9 Basis, Orthogonal, and Orthonormal Vectors.mp4 (8.95 MB)
1 Segment Intro.mp4 (1.99 MB)
2 Tensor Transposition.mp4 (10.27 MB)
3 Basic Tensor Arithmetic, incl the Hadamard Product.mp4 (18.3 MB)
4 Tensor Reduction.mp4 (7.66 MB)
5 The Dot Product.mp4 (15.97 MB)
6 Exercises on Tensor Operations.mp4 (12.76 MB)
7 Solving Linear Systems with Substitution.mp4 (14.71 MB)
8 Solving Linear Systems with Elimination.mp4 (17.55 MB)
9 Visualizing Linear Systems.mp4 (29.91 MB)
1 Segment Intro.mp4 (3.23 MB)
2 The Frobenius Norm.mp4 (15.71 MB)
3 Matrix Multiplication.mp4 (70.5 MB)
4 Symmetric and Identity Matrices.mp4 (8.61 MB)
5 Matrix Multiplication Exercises.mp4 (11.8 MB)
6 Matrix Inversion.mp4 (74.53 MB)
7 Diagonal Matrices.mp4 (8.22 MB)
8 Orthogonal Matrices.mp4 (11.25 MB)
9 Orthogonal Matrix Exercises.mp4 (95.09 MB)
1 Segment Intro.mp4 (70.6 MB)
10 Eigenvector and Eigenvalue Applications.mp4 (54.46 MB)
2 Applying Matrices.mp4 (18.78 MB)
3 Affine Transformations.mp4 (95.94 MB)
4 Eigenvectors and Eigenvalues.mp4 (202.27 MB)
5 Matrix Determinants.mp4 (21.67 MB)
6 Determinants of Larger Matrices.mp4 (23.69 MB)
7 Determinant Exercises.mp4 (9.78 MB)
8 Determinants and Eigenvalues.mp4 (62.31 MB)
9 Eigendecomposition.mp4 (79.97 MB)
1 Segment Intro.mp4 (6.62 MB)
2 Singular Value Decomposition.mp4 (51.66 MB)
3 Data Compression with SVD.mp4 (80.09 MB)
4 The Moore-Penrose Pseudoinverse.mp4 (64.08 MB)
5 Regression with the Pseudoinverse.mp4 (134.17 MB)
6 The Trace Operator.mp4 (38.07 MB)
7 Principal Component Analysis (PCA).mp4 (28.61 MB)
8 Resources for Further Study of Linear Algebra.mp4 (14.27 MB)
1 Segment Intro.mp4 (15.33 MB)
2 Intro to Differential Calculus.mp4 (28.39 MB)
3 Intro to Integral Calculus.mp4 (5.94 MB)
4 The Method of Exhaustion.mp4 (35.42 MB)
5 Calculus of the Infinitesimals.mp4 (48.8 MB)
6 Calculus Applications.mp4 (58.38 MB)
7 Calculating Limits.mp4 (47.62 MB)
8 Exercises on Limits.mp4 (14.58 MB)
1 Segment Intro.mp4 (2.18 MB)
10 The Product Rule.mp4 (10.1 MB)
11 The Quotient Rule.mp4 (8.92 MB)
12 The Chain Rule.mp4 (17.38 MB)
13 Advanced Exercises on Derivative Rules.mp4 (38.78 MB)
14 The Power Rule on a Function Chain.mp4 (19.22 MB)
2 The Delta Method.mp4 (45.92 MB)
3 How Derivatives Arise from Limits.mp4 (65.98 MB)
4 Derivative Notation.mp4 (11.91 MB)
5 The Derivative of a Constant.mp4 (9.33 MB)
6 The Power Rule.mp4 (2.77 MB)
7 The Constant Multiple Rule.mp4 (6.92 MB)
8 The Sum Rule.mp4 (8.56 MB)
9 Exercises on Derivative Rules.mp4 (32.45 MB)
1 Segment Intro.mp4 (2.99 MB)
2 What Automatic Differentiation Is.mp4 (12.19 MB)
3 Autodiff with PyTorch.mp4 (14.89 MB)
4 Autodiff with TensorFlow.mp4 (11.26 MB)
5 The Line Equation as a Tensor Graph.mp4 (116.61 MB)
6 Machine Learning with Autodiff.mp4 (213.14 MB)
1 Segment Intro.mp4 (126.82 MB)
10 Point-by-Point Regression.mp4 (90.7 MB)
11 The Gradient of Quadratic Cost.mp4 (54.08 MB)
12 Descending the Gradient of Cost.mp4 (72.02 MB)
13 The Gradient of Mean Squared Error.mp4 (166.45 MB)
14 Backpropagation.mp4 (22.92 MB)
15 Higher-Order Partial Derivatives.mp4 (30.26 MB)
16 Exercise on Higher-Order Partial Derivatives.mp4 (5.57 MB)
2 What Partial Derivatives Are.mp4 (180.39 MB)
3 Partial Derivative Exercises.mp4 (26.87 MB)
4 Calculating Partial Derivatives with Autodiff.mp4 (28.81 MB)
5 Advanced Partial Derivatives.mp4 (43.86 MB)
6 Advanced Partial-Derivative Exercises.mp4 (14.1 MB)
7 Partial Derivative Notation.mp4 (4.45 MB)
8 The Chain Rule for Partial Derivatives.mp4 (19.14 MB)
9 Exercises on the Multivariate Chain Rule.mp4 (13.84 MB)
1 Segment Intro.mp4 (4.41 MB)
10 Definite Integral Exercise.mp4 (16.87 MB)
11 Finding the Area Under the ROC Curve.mp4 (7.74 MB)
12 Resources for the Further Study of Calculus.mp4 (7.56 MB)
13 Congratulations!.mp4 (33.81 MB)
2 Binary Classification.mp4 (16.47 MB)
3 The Confusion Matrix.mp4 (4 MB)
4 The Receiver-Operating Characteristic (ROC) Curve.mp4 (18.43 MB)
5 What Integral Calculus Is.mp4 (36.79 MB)
6 The Integral Calculus Rules.mp4 (8.71 MB)
7 Indefinite Integral Exercises.mp4 (4.74 MB)
8 Definite Integrals.mp4 (12.1 MB)
9 Numeric Integration with Python.mp4 (13.01 MB)
1 Probability & Information Theory.mp4 (51.7 MB)
2 A Brief History of Probability Theory.mp4 (11.87 MB)
3 What Probability Theory Is.mp4 (12.79 MB)
4 Events and Sample Spaces.mp4 (44.09 MB)
5 Multiple Independent Observations.mp4 (29.5 MB)
6 Combinatorics.mp4 (41.06 MB)
7 Exercises on Event Probabilities.mp4 (34.82 MB)
8 More Lectures are on their Way!.mp4 (4 MB)
]
Screenshot
Mp1puCne_o.jpg


AusFile
Code:
Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!
Code:
Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!
RapidGator
Code:
Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!
Code:
Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!
 
Kommentar

In der Börse ist nur das Erstellen von Download-Angeboten erlaubt! Ignorierst du das, wird dein Beitrag ohne Vorwarnung gelöscht. Ein Eintrag ist offline? Dann nutze bitte den Link  Offline melden . Möchtest du stattdessen etwas zu einem Download schreiben, dann nutze den Link  Kommentieren . Beide Links findest du immer unter jedem Eintrag/Download.

Data-Load.me | Data-Load.ing | Data-Load.to | Data-Load.in

Auf Data-Load.me findest du Links zu kostenlosen Downloads für Filme, Serien, Dokumentationen, Anime, Animation & Zeichentrick, Audio / Musik, Software und Dokumente / Ebooks / Zeitschriften. Wir sind deine Boerse für kostenlose Downloads!

Ist Data-Load legal?

Data-Load ist nicht illegal. Es werden keine zum Download angebotene Inhalte auf den Servern von Data-Load gespeichert.
Oben Unten