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Machine Learnia
▶️ [REPLAY] - La carte de l'IA | Partie 2
1:17:50
![▶️ [REPLAY] - La carte de l'IA | Partie 1](/vi/mT6NnslbNLM/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLBrJ0BOwFzcZyc3HfaxKDs6Qi6Ojg)
Machine Learnia
▶️ [REPLAY] - La carte de l'IA | Partie 1
1:08:32
Machine Learnia
I'M BACK! 🚀 (and I have a surprise for you...)
3:13
Machine Learnia
How to Develop an AI Capable of Creating Manga Characters?
0:57
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How to develop AI to detect bank fraud
1:00
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Deep Fake, How does it work?
0:57
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HOW TO DEVELOP AN AI CAPABLE OF PAINTING A PORTRAIT OF YOU
0:57
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How to predict climate change using artificial intelligence
1:00
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Comment développer un algorithme de détection de risque cardio-vasculaire ?
1:00
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Comment développer une Intelligence Artificielle qui compose de la musique
1:00
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How to develop a voice recognition program?
0:59
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How to develop Artificial Intelligence capable of trading?
0:56
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How to develop Artificial Intelligence capable of driving a self-driving car?
1:00
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How to develop a Sentiment Analysis program?
1:00
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How to develop a facial recognition algorithm?
0:58
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How to develop a Neural Network with Python?
0:59
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How to develop your first artificial intelligence program?
1:00
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RÉSEAU DE NEURONES PROFOND - DEEP LEARNING 10
26:59
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PROGRAMMER UN RÉSEAU DE NEURONES à 2 COUCHES - DEEP LEARNING 9
22:32
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La BACK-PROPAGATION - DEEP LEARNING 8
31:56
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RÉSEAU DE NEURONES (2 COUCHES) - DEEP LEARNING 7
24:29
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NEURONE ARTIFICIEL - CHAT VS CHIEN - DEEP LEARNING 6
58:29
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PROGRAMMATION d'un NEURONE ARTIFICIEL (DEEP LEARNING 5)
38:56
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La VECTORISATION des équations - DEEP LEARNING (04)
20:26
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LES GRADIENTS D'UN NEURONE - DEEP LEARNING (03)
33:52
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LE PERCEPTRON - DEEP LEARNING (02)
24:45
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FORMATION DEEP LEARNING COMPLETE (2021)
30:57
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Machine Learnia, The sequel starts here.
12:44
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How to CHOOSE THE RIGHT Machine Learning MODEL?
21:11
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Python ERRORS: How to Fix Them EASILY?
51:41
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Learn Machine Learning: What to do now??? (30/30)
7:10
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MODÈLE DE MACHINE LEARNING - Covid19 (29/30)
36:52
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DATA PRE-PROCESSING with Python (28/30)
44:56
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EXPLORATORY DATA ANALYSIS - CORRIGÉ (27/30)
1:06:13
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DATA SCIENCE AND WORKING APPROACH (26/30)
16:57
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ENSEMBLE LEARNING : BAGGING, BOOSTING et STACKING (25/30)
25:57
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APPRENTISSAGE NON-SUPERVISÉ avec Python (24/30)
41:13
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FEATURE SELECTION with SKLEARN (23/30)
26:06
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CORONAVIRUS (COVID-19): ARTIFICIAL INTELLIGENCE FINDS THE VACCINE?
21:00
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SKLEARN IMPUTE: DATA CLEANING
12:02
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SKLEARN ADVANCED PIPELINE
14:00
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PYTHON SKLEARN PRE-PROCESSING + PIPELINE (22/30)
37:43
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Sklearn make_scorer tutorial: Create your own metrics.
13:11
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REGRESSION METRICS in DATA SCIENCE (Coefficient of Determination, Squared Error, etc.)
18:01
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SKLEARN PYTHON CROSS-VALIDATION (Techniques explained in French)
21:11
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PYTHON SKLEARN - MODEL SELECTION : Train_test_split, Cross Validation, GridSearchCV (21/30)
21:49
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PYTHON SKLEARN: KNN, LinearRegression et SUPERVISED LEARNING (20/30)
20:07
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NORMAL EQUATIONS: Where do they come from? (Video Archive June 2019)
7:40
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Python 3.8 Changements importants
6:58
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SEABORN PYTHON TUTORIAL PAIRPLOT etc: The MOST BEAUTIFUL GRAPHICS in 1 Line of Code! (19/30)
17:47
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PANDAS PYTHON Tutoriel Français - Time Series (18/30)
25:30
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PANDAS PYTHON French - Introduction + Analysis of the Titanic (17/30)
17:30
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SCIPY PYTHON Tutoriel - Optimize, Fourier, NdImage (16/30)
30:12
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MATPLOTLIB - Important Graphs (15/30)
24:39
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MATPLOTLIB - Les Bases ! (14/30)
18:53
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PYTHON NUMPY BROADCASTING (13/30)
16:33
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PYTHON NUMPY STATISTIQUES et MATHÉMATIQUES (12/30)
30:19
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PYTHON NUMPY Indexing Slicing Masking (11/30)
19:13
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PYTHON NUMPY machine learning (10/30)
24:33
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PYTHON OBJECT-ORIENTED PROGRAMMING and impact on machine learning (9/30)
10:05
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PYTHON MODULES ET PACKAGES (8/30)
20:08
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PYTHON BUILT-IN FUNCTIONS (7/30)
20:40
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PYTHON LIST DICT COMPREHENSION (6/30)
12:05
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PYTHON DICTIONARIES (5/30)
12:22
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PYTHON LISTES et TUPLES (4/30)
18:56
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PYTHON IF/ELSE, WHILE, FOR (3/30)
13:17
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PYTHON VARIABLES AND FUNCTIONS (2/30)
15:02
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FORMATION PYTHON MACHINE LEARNING (2020) (1/30)
8:30
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VISUALIZE THE EVOLUTION OF YOUR MACHINE LEARNING MODEL
7:36
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MULTIPLE LINEAR REGRESSION WITH NUMPY - ML#9
14:47
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NUMPY LINEAR REGRESSION - ML#8
23:28
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MACHINE LEARNING PYTHON (Teaser)
0:27
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PYTHON : L'ESSENTIEL POUR MACHINE LEARNING - ML#7
16:44
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LINEAR REGRESSION (part 2/2) - ML#6
13:37
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MATRICES ET NUMPY - ML#5
11:07
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GRADIENT DESCENT - ML#4
13:44
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LINEAR REGRESSION (part 1/2) - ML#3
11:39
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APPRENTISSAGE SUPERVISÉ : LES 4 ÉTAPES - ML#2
8:41
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FORMATION MACHINE LEARNING (2019) - ML#1
7:32
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Comment installer ANACONDA, PYTHON, et TENSORFLOW (sans aucun bug)
8:45
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HOW DOES MACHINE LEARNING WORK?
19:18