Change AI to ML

Author: manoelmarques

aqua/simulations_with_noise_and_measurement_error_mitigation.ipynb

@@ -10,9 +10,9 @@
     "\n",
     "On the other hand, [Qiskit Ignis](https://qiskit.org/ignis) provides a solution to mitigate the measurement error when running on a noise simulation or a real quantum device.\n",
     "\n",
-    "Further information on Qiskit Aer noise model can be found in the online Qiskit Aer documentation [here](https://qiskit.org/documentation/aer/device_noise_simulation.html) as well as in the [Qiskit Aer tutorials](https://github.com/Qiskit/qiskit-tutorials/tree/master/qiskit/aer).\n",
+    "Further information on Qiskit Aer noise model can be found in the online Qiskit Aer documentation [here](https://qiskit.org/documentation/aer/device_noise_simulation.html) as well as in the [Qiskit Aer tutorials](https://github.com/Qiskit/qiskit-iqx-tutorials/tree/master/qiskit/advanced/aer).\n",
     "\n",
-    "Further information on  measurement error mitigation in Qiskit Ignis can be found in the [Qiskit Ignis tutorial](https://github.com/Qiskit/qiskit-tutorials/blob/master/qiskit/ignis/measurement_error_mitigation.ipynb).\n",
+    "Further information on  measurement error mitigation in Qiskit Ignis can be found in the [Qiskit Ignis tutorial](https://github.com/Qiskit/qiskit-iqx-tutorials/blob/master/qiskit/advanced/ignis/measurement_error_mitigation.ipynb).\n",
     "\n",
     "Note: this tutorial requires Qiskit Aer and Qiskit Ignis if you intend to run it. This can be installed using pip if you do not have it installed using `pip install qiskit-aer qiskit-ignis`"
    ]

machine_learning/qsvm_directly.ipynb

@@ -8,7 +8,7 @@
     "\n",
     "### Introduction\n",
     "\n",
-    "Please refer to [this file](https://github.com/Qiskit/qiskit-tutorials/blob/master/qiskit/aqua/machine_learning/qsvm_classification.ipynb) for introduction.\n",
+    "Please refer to [this file](https://github.com/Qiskit/qiskit-iqx-tutorials/blob/master/qiskit/advanced/aqua/machine_learning/qsvm_classification.ipynb) for introduction.\n",
     "\n",
     "In this file, we show two ways for using the quantum kernel method: (1) the declarative approach and (2) the programmatic approach. \n"
    ]