Change AI to ML

Author: manoelmarques

.github/CODEOWNERS

@@ -9,7 +9,7 @@ aer/* @chriseclectic @attp @aasfaw @quantumjim @rraymondhp
 ignis/* @dcmckayibm @yehuda-naveh @attp @aasfaw @quantumjim @rraymondhp
 
 aqua/**/* @chunfuchen @pistoia @aasfaw
-artificial_intelligence/**/* @chunfuchen @pistoia @aasfaw
+machine_learning/**/* @chunfuchen @pistoia @aasfaw
 chemistry/**/* @chunfuchen @pistoia @aasfaw
 finance/**/* @chunfuchen @pistoia @aasfaw
 optimization/**/* @chunfuchen @pistoia @aasfaw

aqua/README.md

@@ -22,7 +22,7 @@ built. Tutorials, sample code and sample input files may be found here for:
 
 * [Qiskit Chemistry](../chemistry)
 * [Qiskit Optimization](../optimization)
-* [Qiskit Artificial Intelligence](../artificial_intelligence)
+* [Qiskit Machine Learning](../machine_learning)
 * [Qiskit Finance](../finance)
 
 More information may be found the [main index notebook](index.ipynb).

aqua/index.ipynb

@@ -54,15 +54,15 @@
     "There are many more notebooks. The repository here may be viewed for the\n",
     "[full listing](../chemistry).\n",
     "\n",
-    "### 3. [Qiskit Artificial Intelligence](../artificial_intelligence/)<a id='artificial_intelligence'></a>\n",
+    "### 3. [Qiskit Machine Learning](../machine_learning/)<a id='machine_learning'></a>\n",
     "\n",
-    "Qiskit Artificial Intelligence is a set of tools, algorithms and software for use with quantum computers to carry out research and investigate how to take advantage of quantum computing power to solve artificial intelligence problems. \n",
+    "Qiskit Machine Learning is a set of tools, algorithms and software for use with quantum computers to carry out research and investigate how to take advantage of quantum computing power to solve machine learning problems. \n",
     "\n",
-    "* [Quantum SVM algorithm: multiclass classifier extension](../artificial_intelligence/qsvm_multiclass.ipynb)\n",
-    "* [Variational Quantum Classifier (vqc)](../artificial_intelligence/vqc.ipynb)\n",
+    "* [Quantum SVM algorithm: multiclass classifier extension](../machine_learning/qsvm_multiclass.ipynb)\n",
+    "* [Variational Quantum Classifier (vqc)](../machine_learning/vqc.ipynb)\n",
     "\n",
     "The repository here may be viewed for the\n",
-    "[full listing](../artificial_intelligence).\n",
+    "[full listing](../machine_learning).\n",
     "\n",
     "### 4. [Qiskit Optimization](../optimization/)<a id='optimization'></a>\n",
     "\n",

artificial_intelligence/README.md

@@ -0,0 +1,13 @@
+# Qiskit Aqua Machine Learning Tutorials, Samples and Input Files
+
+Qiskit Aqua Machine Learning is a set of tools, algorithms and software for use with quantum computers to 
+carry out research and investigate how to take advantage of quantum computing power to solve machine learning
+problems. 
+
+Qiskit Aqua Machine Learning translates machine-learning-specific problems into inputs
+for a quantum algorithm residing in Qiskit Aqua, which in turn uses [Qiskit](https://www.qiskit.org/) for the relevant
+quantum computation. 
+
+This folder contains some Jupyter Notebook examples. There are Python code files too.
+
+For more detail see the main [index](../aqua/index.ipynb#machine_learning)

machine_learning/README.md

@@ -71,7 +71,7 @@
     "from qiskit.aqua import run_algorithm, QuantumInstance\n",
     "from qiskit.aqua.components.feature_maps import SecondOrderExpansion, FirstOrderExpansion, PauliExpansion, self_product\n",
     "from qiskit.aqua.algorithms import QSVM\n",
-    "from qiskit.ai.datasets import ad_hoc_data"
+    "from qiskit.ml.datasets import ad_hoc_data"
    ]
   },
   {