In hāc partē Podcastī Latīnī audītōrēs per urbem Pompēiānōrum ambulant: turbam festīnantem vident, actōrēs clārōs exspectant, et Poppaeam cum Lucrione sequuntur. In viā, in villā, et tandem in theātrō, vīta cotīdiāna, clāmor, risus, atque spectaculum prōnōnciantur—dum tota urbs ad theātrum ruit.

Hodie in podcastō nostrum Pompēiānās fābulās audīmus. Multae personae “ego sum…” dīcunt et opera sua narrant. Deinde discimus dē Hermogene, mercātōre fallācī, et dē iūdicē quī rem probat. Postrēmō vidēmus Grumiōnem perterritum, quod leōnem in pictūrā videt.

Hic est summārium breve tōtīus podcastī:

1. Personae Pompēiānae loquuntur: coquus, argentārius, tōnsor, vēnalīcius, poēta, pictor.

2. Quīntus et Metella interrogant: "quis es tū?", "quid agis?"

3. Hermogenēs mercātor pecūniam petit, sed Caecilium fallit.

4. Iūdex in basilicā rem audit et Hermogenem convincit.

5. Grumiō et leō: Grumiō ebrius pictūram leōnis vīvam putat.

sālvēte, audītōrēs!

Hodie fabulas Pompēiānās audīmus.

Lentē loquor, clārē loquor,

ut omnēs verba intellegere possitis.

In forō, in villā, in tabernā

omnibus locīs Caecilium et amīcōs sequimur.

Parātī estis?

Age, incipiamus!

Hodie intrāmus villam Caeciliī.
Ambulāmus per ātrium, culīnam, hortum, et triclinium.
Personae nostrae: Caecilius, Metella, Quīntus, Grumiō, Clēmēns, ancilla, amīcus, mercātor, canis.

Parātus es?
Age, incipiāmus.

We will begin our journey by working through the Cambridge Latin Course Book 1.

This episode will help you with listening comprehension and increasing your active vocabulary for chapter 1.

In this short excursion I discuss the definition of Kolmogorov Complexity and work through a few examples.

In this episode I jump into abstract algebra.

I discuss the following topics:

1. Binary Operators

2. Closure Property

3. Commutativity

4. Associativity

5. Identity Elements

6. Inverse Elements

In this episode, I ramble on a bit about some of the parts of neural network mathematics, particularly activation functions and bias.

1. Activation Functions: https://en.wikipedia.org/wiki/Activation_function

I also talk about a book by Jeff Heaton, Introduction to the Math of Neural Networks. It's very short and simple but a nice fast read for a quick introduction to the topic. Check it out if you're interested: https://www.amazon.de/-/en/Jeff-Heaton-ebook/dp/B00845UQL6

In this episode we discuss the conditional proposition or the conditional sentence

Topics:

1. What is If P, then Q. (conditional)

2. If P, then Q (definition, antecedent, consequent)

3. Truth Table for if P, then Q.

4. Thinking about and conceptualizing the conditional in terms of promises.

5. True & False Examples

6. The Converse

7. The Contrapositive

8. The Equivalence of if P, then Q <=> ~Q, then ~P.

In this episode I talk about

1. Logical Connectives: Conjunction, Disjunction, Negation.

2. Truth Tables

3. Examples of True and False well-formed formulas using conjunction, disjunction and negation.

4. Propositional forms.